diff --git a/docs/notebooks/cross_section_data.ipynb b/docs/notebooks/cross_section_data.ipynb
index d1fd36ba..f6d0be5b 100644
--- a/docs/notebooks/cross_section_data.ipynb
+++ b/docs/notebooks/cross_section_data.ipynb
@@ -77,9 +77,9 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "variable = 'bedlevel'  # other variables to plot: bedlevel, section, region, area\n",
-    "x = data.get('fm_data').get('x')\n",
-    "y = data.get('fm_data').get('y')\n",
-    "z = data.get('fm_data').get(variable)\n",
+    "x = data.get('model_data').get('x')\n",
+    "y = data.get('model_data').get('y')\n",
+    "z = data.get('model_data').get(variable)\n",
     "\n",
     "fig, ax = plt.subplots(1)\n",
     "sc = ax.scatter(x/1000, y/1000, c=z)\n",
@@ -162,7 +162,7 @@
     "\n",
     "variable = 'velocity' # try also: waterlevel, waterdepth\n",
     "\n",
-    "z = data.get('fm_data').get(variable)\n",
+    "z = data.get('model_data').get(variable)\n",
     "fig, ax = plt.subplots(1)\n",
     "\n",
     "sc = ax.scatter(x/1000, y/1000, c=z.iloc[6])\n",
diff --git a/docs/user_docs/configuration.md b/docs/user_docs/configuration.md
index a308eaef..81b9bb8d 100644
--- a/docs/user_docs/configuration.md
+++ b/docs/user_docs/configuration.md
@@ -26,17 +26,23 @@ with open('fm2prof/configurationfile_template.json', 'r') as f:
     for section_name, section_content in config["sections"].items():
         print(f"### " + section_name.capitalize())
         for key_value, key_content in section_content.items():
+            optional = key_content.get('optional')
+            
             print (f"#### {key_value}")
             print (f"""
 
 {key_content.get('hint')}
 
+
+
 | Input   |      Value      |
 |----------|:-------------:|
 | Type |  {key_content.get('type')}  |
-| Default value |{key_content.get('value')}|
-
-""")
+| Default value |{key_content.get('value')}|""")
+            if optional is not None:
+                print (f"| Optional |{optional}|\n")
+            else:
+                print("\n")
 
 
 ```
\ No newline at end of file
diff --git a/docs/user_docs/elevation_only.md b/docs/user_docs/elevation_only.md
new file mode 100644
index 00000000..f6953fcc
--- /dev/null
+++ b/docs/user_docs/elevation_only.md
@@ -0,0 +1 @@
+# Generating
\ No newline at end of file
diff --git a/docs/user_docs/input_files.md b/docs/user_docs/input_files.md
new file mode 100644
index 00000000..f5b16d03
--- /dev/null
+++ b/docs/user_docs/input_files.md
@@ -0,0 +1,58 @@
+# Input Files
+
+FM2PROF requires two mandatory input files and accepts two optional files.
+
+| File | Required |
+|------|----------|
+| 2D map output | Yes |
+| Cross-section locations | Yes |
+| Region polygon | No |
+| Section polygon | No |
+
+
+
+## 2D map output
+
+The 2D model output file. Two formats are currently supported:
+
+**NetCDF (`*_map.nc`)** — output from a D-Flow FM 2D simulation. Contains mesh geometry (face coordinates, bed levels, flow areas) and hydraulic results (water levels, water depths, velocities, Chézy roughness). 
+
+**CSV** — a comma-separated file with a header row. The following columns are required:
+
+| Column | Description |
+|--------|-------------|
+| `POINT_X` | Face centroid x-coordinate |
+| `POINT_Y` | Face centroid y-coordinate |
+| `POINT_Z` | Bed level |
+| `Shape_Area` | Face area |
+
+A CSV source contains geometry only; no hydraulic results are available. This will impact the output. See [Cross-sections from geometry alone](elevation_only.md) for more information on creating input and the generated output. 
+
+Configured via `2DMapOutput` in the ini file.
+
+
+## Cross-section locations
+
+A file defining the 1D cross-section locations onto which the 2D data is projected. Each record specifies a unique identifier, representative length, branch identifier, chainage, and (x, y) coordinates.
+
+Configured via `CssFile` in the ini file.
+
+
+
+## Region polygon (optional)
+
+A GeoJSON polygon file that divides the model domain into named regions. Each region is processed independently during the nearest-neighbour classification step, so that cross-sections in one region do not attract 2D points from another.
+
+If omitted, all 2D faces are classified to the nearest cross-section without regional constraints.
+
+Configured via `RegionPolygonFile` in the ini file.
+
+
+
+## Section polygon (optional)
+
+A GeoJSON polygon file that assigns 2D faces and edges to roughness sections (e.g. main channel, floodplain). Labels defined in this file are used directly as section identifiers in the output roughness files.
+
+If omitted, section classification is derived automatically from the spatial variance of the Chézy roughness field.
+
+Configured via `SectionPolygonFile` in the ini
\ No newline at end of file
diff --git a/fm2prof/configurationfile_template.json b/fm2prof/configurationfile_template.json
index 9a8b4e1f..1c218fbe 100644
--- a/fm2prof/configurationfile_template.json
+++ b/fm2prof/configurationfile_template.json
@@ -5,23 +5,27 @@
   	{
     "2DMapOutput": {
 	    "type": "str",
-	    "hint": "Output file from FM2D model (.net file)",
-	    "value": "" 
+	    "hint": "Supported input file containing 2D data (*.nc, *.csv)",
+	    "value": "",
+		"optional": false
   	},
   	"CrossSectionLocationFile": {
 	    "type": "str",
-	    "hint": ".csv or .txt file (, as delimiter) that contains four columns: X_coordinate,Y_coordinate,BranchName,Length,Chainage.",
-	    "value": "" 
+	    "hint": "delimited text file that contains four columns: X_coordinate,Y_coordinate,BranchName,Length,Chainage.",
+	    "value": "",
+		"optional": false
   	},
 	"RegionPolygonFile": {
 	    "type": "str",
 	    "hint": "User defined polygons in json format",
-	    "value": "" 
+	    "value": "",
+		"optional": true
   	},
     "SectionPolygonFile": {
 	    "type": "str",
 	    "hint": "User defined polygons in json format",
-	    "value": "" 
+	    "value": "",
+		"optional": true
 	 }
   },
   "parameters": {
diff --git a/fm2prof/cross_section.py b/fm2prof/cross_section.py
index c648bd44..a1e15a36 100644
--- a/fm2prof/cross_section.py
+++ b/fm2prof/cross_section.py
@@ -128,9 +128,9 @@ def __init__(
         logger: Logger | None = None,
         inifile: IniFile | None = None,
     ) -> None:
-        """Derive cross-sections from fm_data (2D model results).
+        """Derive cross-sections from model_data (2D model results).
 
-        See docs how to acquire fm_data and how to prepare a proper 2D model.
+        See docs how to acquire model_data and how to prepare a proper 2D model.
 
 
         Args:
@@ -147,7 +147,7 @@ def __init__(
 
         if not all(
             key in data
-            for key in ["id", "length", "xy", "branchid", "chainage", "fm_data"]
+            for key in ["id", "length", "xy", "branchid", "chainage", "model_data"]
         ):
             err_msg = "Input data does not have all required keys"
             raise KeyError(err_msg)
@@ -158,7 +158,7 @@ def __init__(
         self.location = data.get("xy")  # (x,y)
         self.branch = data.get("branchid")  # name of 1D branch for cross-section
         self.chainage = data.get("chainage")  # offset from beginning of branch
-        self._fm_data: dict = data.get("fm_data")  # dictionary with fmdata
+        self._model_data: dict = data.get("model_data")  # dictionary with fmdata
 
         # Cross-section geometry
         self.z = []
@@ -225,7 +225,54 @@ def get_point_list(self, point_type: str) -> list:
         raise ValueError(err_msg)
 
     # Public functions
-    def build_geometry(self) -> None:  # noqa: PLR0915
+    def build_geometry(self) -> None:
+        """ """
+
+        # the cssdata is a dict, not a nice object, so we need to infer some stuff
+        if "waterdepth" in self._model_data:
+            self._build_geometry_from_hydraulic_data()
+        else:
+            self._build_geometry_from_elevation()
+
+    def _build_geometry_from_elevation(self) -> None:
+        """Build 1D cross-section geometry from bed level and area data only.
+
+        No hydraulic data is required. Starting from the highest bed level,
+        cumulative wet area and corresponding width are computed at each level step.
+        """
+        bedlevel: np.ndarray = self._model_data.get("bedlevel").to_numpy()
+        area: np.ndarray = self._model_data.get("area").to_numpy()
+
+        lowest_level = np.nanmin(bedlevel)
+
+        # Work from highest to lowest bed level
+        levels = np.sort(np.unique(bedlevel))[::-1]
+
+        css_z = []
+        css_total_width = []
+
+        for level in levels:
+            # All faces whose bed level is at or below the current level are wet
+            wet_mask = bedlevel <= level
+            cumulative_area = np.nansum(area[wet_mask])
+            depth = level - lowest_level
+
+            css_z.append(depth)
+            css_total_width.append(cumulative_area / self.length)
+
+        # Reverse so z increases (depth 0 = lowest point, depth max = highest)
+        self._css_z = np.array(css_z[::-1], dtype=np.float64)
+        self._css_total_width = np.array(css_total_width[::-1], dtype=np.float64)
+
+        # No hydraulic data — flow width equals total width
+        self._css_flow_width = self._css_total_width.copy()
+
+        # Shift z so that the lowest point is at 0, then offset by the actual bed level
+        self._css_z = lowest_level + self._css_z
+
+        return None
+
+    def _build_geometry_from_hydraulic_data(self) -> None:  # noqa: PLR0915
         """Build 1D geometrical cross-section from 2D data.
 
         The 2D data is set on initalisation of the `CrossSection` object.
@@ -243,12 +290,12 @@ def build_geometry(self) -> None:  # noqa: PLR0915
            _css_flow_width
 
         """
-        fm_data: dict = self._fm_data
+        model_data: dict = self._model_data
 
         # Unpack FM data
         def get_timeseries(name: str) -> np.array:
-            """Return data from fm_data after applying the skip_maps and checking for missing numbers."""
-            data = fm_data[name].iloc[
+            """Return data from model_data after applying the skip_maps and checking for missing numbers."""
+            data = model_data[name].iloc[
                 :,
                 self.get_parameter(self.__cs_parameter_skip_maps) :,
             ]
@@ -262,8 +309,8 @@ def get_timeseries(name: str) -> np.array:
         waterdepth = get_timeseries("waterdepth")
         velocity = get_timeseries("velocity")
 
-        area = fm_data["area"]
-        bedlevel = fm_data["bedlevel"]
+        area = model_data["area"]
+        bedlevel = model_data["bedlevel"]
 
         # Convert area to a matrix for matrix operations
         # (much more efficient than for-loops)
@@ -278,8 +325,8 @@ def get_timeseries(name: str) -> np.array:
         self.set_logger_message("Retrieving centre point values")
         (centre_depth, centre_level) = nearest_neighbour.get_centre_values(
             self.location,
-            fm_data["x"],
-            fm_data["y"],
+            model_data["x"],
+            model_data["y"],
             waterdepth,
             waterlevel,
         )
@@ -548,7 +595,7 @@ def assign_roughness(self) -> None:
 
     def get_number_of_faces(self) -> int:
         """Return the number of 2D faces within control volume."""
-        return len(self._fm_data.get("x"))
+        return len(self._model_data.get("x"))
 
     def get_number_of_vertices(self) -> int:
         """Return the current number of geometry vertices."""
@@ -618,7 +665,7 @@ def reduce_points(self, count_after: int = 20) -> None:
 
     def set_face_output_list(self) -> None:
         """Generate a list of output mask points based on their values in the mask."""
-        fm_data = self._fm_data
+        model_data = self._model_data
 
         # Properties keys
         cross_section_id_key = "cross_section_id"
@@ -629,12 +676,12 @@ def set_face_output_list(self) -> None:
 
         try:
             # Normalize np arrays to list for correct access
-            x_coords = fm_data.get("x").tolist()
-            y_coords = fm_data.get("y").tolist()
-            region_list = fm_data.get("region").tolist()
-            section_list = fm_data.get("section").tolist()
-            bedlevel_list = fm_data.get("bedlevel").tolist()
-            is_lake_mask_list = fm_data.get("islake").tolist()
+            x_coords = model_data.get("x").tolist()
+            y_coords = model_data.get("y").tolist()
+            region_list = model_data.get("region").tolist()
+            section_list = model_data.get("section").tolist()
+            bedlevel_list = model_data.get("bedlevel").tolist()
+            is_lake_mask_list = model_data.get("islake").tolist()
 
             # Assume same length for x and y coords.
             for i in range(len(x_coords)):
@@ -672,7 +719,7 @@ def set_edge_output_list(self) -> None:
 
         writes to self.__output_mask_list
         """
-        fm_data = self._fm_data
+        model_data = self._model_data
 
         # Properties keys
         cross_section_id_key = "cross_section_id"
@@ -680,9 +727,9 @@ def set_edge_output_list(self) -> None:
 
         try:
             # Normalize np arrays to list for correct access
-            x_coords = fm_data.get("edge_x").tolist()
-            y_coords = fm_data.get("edge_y").tolist()
-            section_list = fm_data.get("edge_section").tolist()
+            x_coords = model_data.get("edge_x").tolist()
+            y_coords = model_data.get("edge_y").tolist()
+            section_list = model_data.get("edge_section").tolist()
             # Assume same length for x and y coords.
             for i in range(len(x_coords)):
                 mask_properties = {
@@ -886,15 +933,15 @@ def _check_increasing_order(self, list_points: list) -> list:
 
     def _build_roughness_tables(self) -> None:
         # Find roughness tables for each section
-        chezy_fm = self._fm_data.get("chezy").iloc[
+        chezy_fm = self._model_data.get("chezy").iloc[
             :,
             self.get_parameter(self.__cs_parameter_skip_maps) :,
         ]
 
-        sections = np.unique(self._fm_data.get("edge_section"))
+        sections = np.unique(self._model_data.get("edge_section"))
 
         for section in sections:
-            chezy_section = chezy_fm[self._fm_data["edge_section"] == section]
+            chezy_section = chezy_fm[self._model_data["edge_section"] == section]
             if self.get_parameter(self.__cs_parameter_Frictionweighing) == 0:
                 friction = self._friction_weighing_simple(chezy_section)
             elif self.get_parameter(self.__cs_parameter_Frictionweighing) == 1:
@@ -934,9 +981,9 @@ def _friction_weighing_area(
         # Remove chezy where zero
         link_chezy = link_chezy.replace(0, np.nan)
         # efs are the two faces the edge connects to
-        efs = self._fm_data["edge_faces"][self._fm_data["edge_section"] == section]
+        efs = self._model_data["edge_faces"][self._model_data["edge_section"] == section]
         # compute the mean area for the two connecting faces
-        link_area = [self._fm_data.get("area_full").reindex(ef).mean() for ef in efs]
+        link_area = [self._model_data.get("area_full").reindex(ef).mean() for ef in efs]
         # the weight of one link is defined as the sum of the linked areas
         link_weight = link_area / np.sum(link_area)
 
@@ -954,7 +1001,7 @@ def _compute_section_widths(self) -> None:
         maximum width of the geometry, or a very small width that may lead
         to numerical instability. 
         """
-        unassigned_area = sum(self._fm_data["area"][self._fm_data["section"] == NODATA])
+        unassigned_area = sum(self._model_data["area"][self._model_data["section"] == NODATA])
         if unassigned_area > 0:
             self.set_logger_message(
                 f"{unassigned_area} m2 was not assigned to any section in input files, and"
@@ -965,12 +1012,12 @@ def _compute_section_widths(self) -> None:
         for section in ["main", "floodplain1", "floodplain2"]:
             if section == "main":
                 section_area = (
-                    np.sum(self._fm_data["area"][self._fm_data["section"] == section])
+                    np.sum(self._model_data["area"][self._model_data["section"] == section])
                     + unassigned_area
                 ) / self.length
             else:
                 section_area = (
-                    np.sum(self._fm_data["area"][self._fm_data["section"] == section])
+                    np.sum(self._model_data["area"][self._model_data["section"] == section])
                     / self.length
                 )
             self.section_widths[section] = section_area
@@ -983,10 +1030,10 @@ def _compute_floodplain_base(self) -> None:
         """
         tolerance = self.get_inifile().get_parameter("sdfloodplainbase")
         # Mean bed level in section 2 (floodplain)
-        floodplain_mask = self._fm_data.get("section") == "floodplain1"
+        floodplain_mask = self._model_data.get("section") == "floodplain1"
         if floodplain_mask.sum():
             mean_floodplain_elevation = np.nanmean(
-                self._fm_data["bedlevel"][floodplain_mask],
+                self._model_data["bedlevel"][floodplain_mask],
             )
 
             # Tolerance. Base level must at least be some below the crest to prevent
@@ -1288,8 +1335,8 @@ def _extend_css_below_z0(
             _fm_total_volume
 
         """
-        bedlevel = self._fm_data.get("bedlevel").to_numpy()
-        cell_area = self._fm_data.get("area").to_numpy()
+        bedlevel = self._model_data.get("bedlevel").to_numpy()
+        cell_area = self._model_data.get("area").to_numpy()
         flow_area_at_z0 = self._fm_flow_area[0]
         lowest_level_of_css = (
             centre_level[0] - centre_depth[0]
diff --git a/fm2prof/data_import.py b/fm2prof/data_import.py
index 1a501430..85a1ba40 100644
--- a/fm2prof/data_import.py
+++ b/fm2prof/data_import.py
@@ -7,286 +7,11 @@
 
 # import from dependencies
 import numpy as np
-import pandas as pd
-import xarray as xr
-from netCDF4 import Dataset
 
 # import from  package
 from fm2prof.common import FM2ProfBase
 
 
-class FMDataImporter(FM2ProfBase):
-    """FM Data importer class."""
-
-    def __init__(self, file_path: Path | str) -> None:
-        """Initialize the FMDataImporter."""
-        super().__init__()
-        self.set_logger_message("FMDataImporter initialized", "debug")
-        self.file_path = Path(file_path)
-
-    @property
-    def file_path(self) -> Path:
-        """Return the file path."""
-        return self._file_path
-
-    @file_path.setter
-    def file_path(self, value: Path | str) -> None:
-        """Set the file path."""
-        if isinstance(value, str):
-            value = Path(value)
-        if not value.exists():
-            raise FileNotFoundError(f"The file {value} does not exist.")
-        self._file_path = value
-
-    @property
-    def dflow2d_face_keys(self) -> dict:
-        """Mapping with dflow2d face keys."""
-        return {
-            "x": "mesh2d_face_x",
-            "y": "mesh2d_face_y",
-            "area": "mesh2d_flowelem_ba",
-            "bedlevel": "mesh2d_flowelem_bl",
-        }
-
-    @property
-    def dflow2d_edge_keys(self) -> dict:
-        """Mapping with dflow2d edge keys."""
-        return {
-            "x": "mesh2d_edge_x",
-            "y": "mesh2d_edge_y",
-            "edge_faces": "mesh2d_edge_faces",
-            "edge_nodes": "mesh2d_edge_nodes",
-        }
-
-    @property
-    def dflow2d_result_keys(self) -> dict:
-        """Mapping with dflow2d_result_keys."""
-        return {
-            "waterdepth": "mesh2d_waterdepth",
-            "waterlevel": "mesh2d_s1",
-            "chezy_mean": "mesh2d_czs",  # not used anymore!
-            "chezy_edge": "mesh2d_czu",
-            "velocity_x": "mesh2d_ucx",
-            "velocity_y": "mesh2d_ucy",
-            "velocity_edge": "mesh2d_u1",
-        }
-
-    def get_variable(self, var_name: str) -> np.ndarray:
-        """Get a variable from the netCDF file."""
-        grid = xr.open_dataset(self.file_path, engine="netcdf4")
-        return grid[var_name].to_numpy()
-
-    def import_dflow2d(self) -> tuple[pd.DataFrame | None, dict, pd.DataFrame, dict]:
-        """Read input from a dflow2d output file.
-
-        Args:
-            file_path: path to *_map.nc file
-
-        Results:
-            tid_face - DataFrame with time-independent data on faces (e.g. section allocation)
-            tid_edge - DataFrame with time-independent data on flow links
-            node_coordinates -
-            td - DataFrame with time-dependent data (e.g. water levels, ..)
-
-        """
-        self.set_logger_message("hello from dflow2d importer")
-
-        # Open results file for reading, within context manager to ensure garbage collection
-        with Dataset(self.file_path, "r") as map_file:
-            # Time-invariant variables from FM 2D at faces
-            # -----------------------------------------------
-            tid_face = None
-            for key, nckey in self.dflow2d_face_keys.items():
-                if tid_face is None:
-                    tid_face = pd.DataFrame(columns=[key], data=np.array(map_file.variables[nckey]))
-                else:
-                    tid_face[key] = np.array(map_file.variables[nckey])
-
-            # These variables are preallocated with the correct size for later use
-            tid_face["region"] = [""] * len(tid_face["y"])  # region id (see RegionPolygon). By default, no regions
-            tid_face["section"] = ["main"] * len(
-                tid_face["y"],
-            )  # section id (see SectionPolygon). By default, all sections are 'main'
-            tid_face["sclass"] = [""] * len(tid_face["y"])  # cross-section id
-            tid_face["islake"] = [False] * len(
-                tid_face["y"],
-            )  # whether or not cell is in a lake. By default, nothing is a lake
-
-            # Time-invariant variables from FM 2D at edges
-            # -----------------------------------------------
-            internal_edges = map_file.variables["mesh2d_edge_type"][:] == 1  # edgetype 1 = 'internal'
-
-            tid_edge = {}
-            for key, nckey in self.dflow2d_edge_keys.items():
-                try:
-                    tid_edge[key] = np.array(map_file.variables[nckey])[internal_edges]
-                except KeyError:
-                    # 'edge_faces' does not always seem to exist in the file - probably
-                    # due to changes in dflow2d output
-                    self.set_logger_message(
-                        f"during reading of dflow2d input, it was found that {key} was not present in the file",
-                        "warning",
-                    )
-
-            tid_edge["sclass"] = np.array([""] * np.sum(internal_edges), dtype="U99")
-            tid_edge["section"] = np.array(["main"] * np.sum(internal_edges), dtype="U99")
-            tid_edge["region"] = np.array([""] * np.sum(internal_edges), dtype="U99")
-
-            # node data (- Is this data still used??)
-            # ----------------------------------------------
-            node_coordinates = pd.DataFrame(columns=["x"], data=np.array(map_file.variables["mesh2d_node_x"]))
-            node_coordinates["y"] = np.array(map_file.variables["mesh2d_node_y"])
-
-            # Time-variant variables
-            # ----------------------------------------------
-            td = {}
-            for key, nckey in self.dflow2d_result_keys.items():
-                if key == "chezy_edge":
-                    # this one we treat slightly differently:
-                    # because is it edge_data, we need to filter on [internal_edges]
-                    # also - older dflow2d versions (before december 2020) do not have
-                    # the 'mesh2d_czu' keyword, so we need to default back to 'mesh2d_cftrt'
-                    try:
-                        td[key] = pd.DataFrame(
-                            data=np.array(map_file.variables[nckey]).T[internal_edges],
-                            columns=map_file.variables["time"],
-                        )
-                    except KeyError:
-                        td[key] = pd.DataFrame(
-                            data=np.array(map_file.variables["mesh2d_cftrt"]).T[internal_edges],
-                            columns=map_file.variables["time"],
-                        )
-                        self.set_logger_message(
-                            "The Dflow2D output does not have the 'mesh2d_czu' key. Reverting to mesh2d_cftrt. "
-                            "Make sure that the UnifFrictType is set to 0 (Cheyz) in the Dflow2d mdu file.",
-                            "warning",
-                        )
-                else:
-                    td[key] = pd.DataFrame(
-                        data=np.array(map_file.variables[nckey]).T,
-                        columns=map_file.variables["time"],
-                    )
-
-        return tid_face, tid_edge, node_coordinates, td
-
-
-class FmModelData:
-    """Used to read and store data from the 2D model."""
-
-    time_dependent_data = None
-    time_independent_data = None
-    edge_data = None
-    node_coordinates = None
-    css_data_list = None
-
-    def __init__(
-        self,
-        time_dependent_data: pd.DataFrame,
-        time_independent_data: pd.DataFrame,
-        edge_data: dict,
-        node_coordinates: pd.DataFrame,
-        css_data_dictionary: dict,
-    ) -> None:
-        """Instantiate a FmModelData object.
-
-        Args:
-            time_dependent_data (pd.DataFrame): _description_
-            time_independent_data (pd.DataFrame): _description_
-            edge_data (dict): _description_
-            node_coordinates (pd.DataFrame): _description_
-            css_data_dictionary (dict): _description_
-
-        """
-        self.time_dependent_data = time_dependent_data
-        self.time_independent_data = time_independent_data
-        self.edge_data = edge_data
-        self.node_coordinates = node_coordinates
-        self.css_data_list = self.get_ordered_css_list(css_data_dictionary)
-
-    @staticmethod
-    def get_ordered_css_list(css_data_dict: dict[str, str]) -> list[dict[str, str]]:
-        """Return an ordered list where every element represents a Cross Section structure.
-
-        Args:
-            css_data_dict (dict[str, str]): Dictionary ordered by the keys
-
-        Returns:
-            (list): List where every element contains a dictionary
-            to create a Cross Section.
-
-        """
-        if not css_data_dict or not isinstance(css_data_dict, dict):
-            return []
-
-        number_of_css = len(css_data_dict[next(iter(css_data_dict))])
-        css_dict_keys = css_data_dict.keys()
-        css_dict_values = css_data_dict.values()
-        return [
-            dict(
-                zip(
-                    css_dict_keys,
-                    [value[idx] for value in css_dict_values if idx < len(value)],
-                ),
-            )
-            for idx in range(number_of_css)
-        ]
-
-    def get_selection(self, css_name: str) -> dict:
-        """Create a dictionary that holds all the 2D data for the cross-section with name 'css_name'.
-
-        Args:
-            css_name (str): name of the cross-section
-
-        """
-        dti = self.time_independent_data
-        dtd = self.time_dependent_data
-        edge_data = self.edge_data
-
-        x = dti["x"][dti["sclass"] == css_name]
-        y = dti["y"][dti["sclass"] == css_name]
-        area = dti["area"][dti["sclass"] == css_name]
-        region = dti["region"][dti["sclass"] == css_name]
-        islake = dti["islake"][dti["sclass"] == css_name]
-        waterdepth = dtd["waterdepth"][dti["sclass"] == css_name]
-        waterlevel = dtd["waterlevel"][dti["sclass"] == css_name]
-        vx = dtd["velocity_x"][dti["sclass"] == css_name]
-        vy = dtd["velocity_y"][dti["sclass"] == css_name]
-        face_section = dti["section"][dti["sclass"] == css_name]
-        # find all chezy values for this cross section, note that edge coordinates are used
-        chezy = dtd["chezy_edge"][edge_data["sclass"] == css_name]
-        try:
-            edge_faces = edge_data["edge_faces"][edge_data["sclass"] == css_name]
-        except KeyError:
-            edge_faces = None
-
-        edge_x = edge_data["x"][edge_data["sclass"] == css_name]
-        edge_y = edge_data["y"][edge_data["sclass"] == css_name]
-        edge_section = np.array(edge_data["section"])[edge_data["sclass"] == css_name]  # roughness section number
-
-        bedlevel = dti["bedlevel"][dti["sclass"] == css_name]
-
-        velocity = (vx**2 + vy**2) ** 0.5
-        waterlevel[waterdepth == 0] = np.nan
-
-        return {
-            "x": x,
-            "y": y,
-            "area": area,
-            "bedlevel": bedlevel,
-            "waterdepth": waterdepth,
-            "waterlevel": waterlevel,
-            "velocity": velocity,
-            "section": face_section,
-            "chezy": chezy,
-            "region": region,
-            "islake": islake,
-            "edge_faces": edge_faces,
-            "edge_x": edge_x,
-            "edge_y": edge_y,
-            "edge_section": edge_section,
-        }
-
-
 class ImportInputFiles(FM2ProfBase):
     """Contains all functions related to the import of files."""
 
diff --git a/fm2prof/data_preprocessing.py b/fm2prof/data_preprocessing.py
new file mode 100644
index 00000000..52bcfaae
--- /dev/null
+++ b/fm2prof/data_preprocessing.py
@@ -0,0 +1,255 @@
+"""Data preprocessing pipeline for FM2PROF.
+
+Provides a single entry point for loading, classifying and assembling
+all 2D model data into a :class:`ModelData` instance that is ready for
+cross-section generation.
+
+The main function :func:`build_model_data` is source-agnostic: the
+source format is selected via the ``source`` argument and resolved
+through :class:`~fm2prof.imports.ImporterFactory`.
+
+Functions:
+    build_model_data: Load and classify all input data into a ModelData instance.
+    classify_sections_by_variance: Classify faces/edges into roughness sections
+        using variance-reduction on Chézy values.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import numpy as np
+
+from fm2prof import nearest_neighbour
+from fm2prof.data_import import ImportInputFiles
+from fm2prof.imports import ImporterFactory, detect_source
+from fm2prof.polygon_file import GridPointsInPolygonResults, RegionPolygon, SectionPolygon
+
+if TYPE_CHECKING:
+    import logging
+    from logging import Logger
+    from pathlib import Path
+
+    from fm2prof.imports.base import ModelData
+    from fm2prof.ini_file import InputFiles
+
+
+def build_model_data(
+    input_files: InputFiles,
+    *,
+    default_region: str = "",
+    default_section: str = "main",
+    logger: logging.Logger | None = None,
+) -> ModelData:
+    """Load, classify and assemble all 2D model data into a ModelData instance.
+
+    This function is the single entry point for the initialisation pipeline.
+    The source format is inferred automatically from the map file extension
+    (``.nc`` → ``dflowfm``, ``.csv`` → ``csv_elevation``).
+
+    Steps performed:
+        1. Import 2D map file via :class:`~fm2prof.imports.ImporterFactory`.
+        2. Read cross-section location file.
+        3. Optionally read region and section polygon files.
+        4. Classify 2D faces and edges to cross-sections (nearest neighbour).
+        5. Classify 2D faces and edges to roughness sections (polygon or variance).
+
+    Args:
+        input_files:     Container with paths to all required input files.
+        default_region:  Default region label when no region polygon is given.
+        default_section: Default section label when no section polygon is given.
+        logger:          Optional logger instance for status messages.
+
+    Returns:
+        A fully classified :class:`~fm2prof.imports.ModelData` instance.
+
+    """
+
+    def _log(msg: str) -> None:
+        if logger is not None:
+            logger.info(msg)
+
+    # Ensure a valid logger is available for FM2ProfBase subclasses
+    from fm2prof.common import FM2ProfBase  # noqa: PLC0415
+    _base = FM2ProfBase()
+    _base.set_logger(logger if logger is not None else _base.create_logger())
+    _logger = _base.get_logger()
+
+    # 1. Read input files
+    model_data, cssdata, regions, sections = _read_input_files(
+        input_files, default_region, default_section, _logger,
+    )
+
+    # 2 Classify faces and edges (if present) to cross-sections
+    if regions is None:
+        _log("Classifying 2D points to cross-sections (no region polygon)")
+        model_data = _classify_cross_sections_without_regions(model_data, cssdata)
+    else:
+        _log("Classifying 2D points to cross-sections using region polygon")
+        model_data = _classify_cross_sections_using_regions(model_data, cssdata, regions, input_files)
+
+    # 3. Classify sections
+    if sections is None:
+        if model_data.has_hydraulics:
+            model_data = _classify_sections_without_polygon_by_hydraulics(model_data)
+        else:
+            model_data = _set_sections_to_default(model_data)
+    else:
+        model_data = _classify_sections_using_polygon(model_data, sections, input_files.map_file)
+
+    # 4. Attach cross-section definitions toi the ModelData object
+    if cssdata and isinstance(cssdata, dict):
+        n = len(cssdata[next(iter(cssdata))])
+        keys = cssdata.keys()
+        model_data.css_data_list = [
+            dict(zip(keys, [v[i] for v in cssdata.values()], strict=False))
+            for i in range(n)
+        ]
+    else:
+        model_data.css_data_list = []
+
+    return model_data
+
+def _read_input_files(
+    input_files: InputFiles,
+    default_region: str,
+    default_section: str,
+    logger: Logger,
+) -> tuple:
+    """Import map file, css locations and polygon files."""
+    source = detect_source(input_files.map_file)
+    model_data: ModelData = ImporterFactory.create(source, input_files.map_file).import_data()
+
+    importer = ImportInputFiles()
+    importer.set_logger(logger)
+    cssdata = importer.css_file(input_files.css_file)
+
+    regions = (
+        RegionPolygon(input_files.region_file, logger=logger, default_value=default_region)
+        if input_files.region_file else None
+    )
+    sections = (
+        SectionPolygon(input_files.section_file, logger=logger, default_value=default_section)
+        if input_files.section_file else None
+    )
+
+    return model_data, cssdata, regions, sections
+
+def _classify_cross_sections_without_regions(model_data:ModelData, cssdata: dict) -> ModelData:
+    """Classify without regions — called when no region file is present."""
+    # Build nearest neighbour tree
+    neigh = nearest_neighbour.get_class_tree(cssdata["xy"], cssdata["id"])
+    # Classify faces
+    model_data.geometry.sclass = neigh.predict(
+        np.array([model_data.geometry.x, model_data.geometry.y]).T,
+    )
+    # Classify edges, if present
+    if model_data.has_edges:
+        model_data.edges.sclass = neigh.predict(
+            np.array([model_data.edges.x, model_data.edges.y]).T,
+        )
+
+    return model_data
+
+def _classify_cross_sections_using_regions(model_data: ModelData, cssdata: dict, regions: RegionPolygon, input_files:InputFiles) -> ModelData:
+    """Classify using region polygons — called when a region file is present."""
+    gridpoints_in_regions: GridPointsInPolygonResults = regions.get_gridpoints_in_polygon(input_files.map_file)
+    model_data.geometry.region = gridpoints_in_regions.faces_in_polygon
+
+    if model_data.has_edges:
+        model_data.edges.region = gridpoints_in_regions.edges_in_polygon
+
+    css_regions = regions.get_points_in_polygon(cssdata["xy"], property_name="region")
+
+    model_data.geometry.sclass = model_data.geometry.region.copy()
+    if model_data.has_edges:
+        model_data.edges.sclass = model_data.edges.region.copy()
+
+    for region in np.unique(model_data.geometry.region):
+        css_xy = cssdata["xy"][np.array(css_regions) == region]
+        css_id = cssdata["id"][np.array(css_regions) == region]
+        if len(css_id) == 0:
+            continue
+        neigh = nearest_neighbour.get_class_tree(css_xy, css_id)
+        node_mask = model_data.geometry.region == region
+        model_data.geometry.sclass[node_mask] = neigh.predict(
+            np.array([model_data.geometry.x[node_mask], model_data.geometry.y[node_mask]]).T,
+        )
+        if model_data.has_edges:
+            edge_mask = model_data.edges.region == region
+            model_data.edges.sclass[edge_mask] = neigh.predict(
+                np.array([model_data.edges.x[edge_mask], model_data.edges.y[edge_mask]]).T,
+            )
+
+    return model_data
+
+def _classify_sections_without_polygon_by_hydraulics(model_data: ModelData) -> ModelData:
+    """Classify 2D faces and edges to roughness sections."""
+    if model_data.has_edges:
+        model_data.edges.section    = classify_sections_by_variance(
+            model_data.edges.section, model_data.hydraulics.chezy_edge,
+        )
+    model_data.geometry.section = classify_sections_by_variance(
+        model_data.geometry.section, model_data.hydraulics.waterlevel,
+    )
+
+    return model_data
+
+def _classify_sections_using_polygon(model_data: ModelData, sections: SectionPolygon, map_file: Path) -> ModelData:
+    gridpoints: GridPointsInPolygonResults = sections.get_gridpoints_in_polygon(map_file)
+    model_data.geometry.section = gridpoints.faces_in_polygon
+    if model_data.has_edges:
+        model_data.edges.section    = gridpoints.edges_in_polygon
+
+    return model_data
+
+def _set_sections_to_default(model_data: ModelData):
+    model_data.geometry.section[:] = "main"
+    return model_data
+
+def classify_sections_by_variance(
+    section: np.ndarray,
+    variable: np.ndarray,
+) -> np.ndarray:
+    """Classify faces or edges into roughness sections using variance reduction on Chézy values.
+
+    Assigns elements of ``section`` to ``"1"`` (main channel) or ``"2"`` (floodplain)
+    by finding the variable split value that minimises within-group variance at
+    the last timestep.
+
+    Used when no section polygon file is provided.
+
+    .. note::
+        Variance reduction is a standard decision-tree splitting criterion.
+        See https://en.wikipedia.org/wiki/Decision_tree_learning#Variance_reduction.
+
+    Args:
+        section:  1-D array of section labels to be updated (returned as new array).
+        variable: 2-D array of values, shape ``(N_points, N_timesteps)``.
+
+    Returns:
+        Updated section array with values ``"1"`` (main) or ``"2"`` (floodplain).
+
+    """
+    end_values = variable[:, -1]  # last timestep, shape (N_points,)
+    result = section.copy()
+    threshold_no_variance = 2  # skip split when all values are near-identical
+
+    split_candidates = np.arange(min(end_values), max(end_values), 1)
+    if len(split_candidates) < threshold_no_variance:
+        result[:] = "1"
+    else:
+        variance_list = [
+            np.max(
+                [
+                    np.var(end_values[end_values > split]),
+                    np.var(end_values[end_values <= split]),
+                ],
+            )
+            for split in split_candidates
+        ]
+        splitpoint = split_candidates[np.nanargmin(variance_list)]
+        result[end_values > splitpoint] = "1"   # main channel
+        result[end_values <= splitpoint] = "2"  # floodplain
+
+    return result
diff --git a/fm2prof/fm2prof_runner.py b/fm2prof/fm2prof_runner.py
index ff11ef46..ba18befd 100644
--- a/fm2prof/fm2prof_runner.py
+++ b/fm2prof/fm2prof_runner.py
@@ -50,18 +50,18 @@
 
 import geojson
 import numpy as np
-import pandas as pd
 import tqdm
 from geojson import Feature, FeatureCollection, Polygon
 from scipy.spatial import ConvexHull
 
-from fm2prof import mask_output_file, nearest_neighbour
+from fm2prof import mask_output_file
 from fm2prof.common import FM2ProfBase, get_version
 from fm2prof.cross_section import CrossSection, CrossSectionHelpers
-from fm2prof.data_import import FMDataImporter, FmModelData, ImportInputFiles
+from fm2prof.data_preprocessing import build_model_data
 from fm2prof.export import ExporterFactory
-from fm2prof.ini_file import ConfigurationFileError, IniFile
-from fm2prof.polygon_file import GridPointsInPolygonResults, PolygonError, RegionPolygon, SectionPolygon
+from fm2prof.imports import ModelData
+from fm2prof.ini_file import ConfigurationFileError, IniFile, InputFiles
+from fm2prof.polygon_file import PolygonError
 
 
 class InitializationError(Exception):
@@ -82,7 +82,7 @@ class Fm2ProfRunner(FM2ProfBase):
     ]
 
     def __init__(self, ini_file_path: Path | str = "") -> None:
-        """Initialize the project.
+        """Initialize the project and load configuration.
 
         Args:
         ----
@@ -90,7 +90,7 @@ def __init__(self, ini_file_path: Path | str = "") -> None:
 
         """
         self.version: str = get_version()
-        self.fm_model_data: FmModelData = None
+        self.model_data: ModelData = None
 
         self.set_logger(self.create_logger())
 
@@ -220,40 +220,36 @@ def _run_inifile(self) -> bool:
         # Returns true if program finished without errors
         return errors == 0
 
-    def _initialise_fm2prof(self) -> None:
+    def _initialise_fm2prof(self) -> bool:
         """Load data, inifile."""
         ini_file: IniFile = self.get_inifile()
         raise_file_not_found: bool = False
 
-        # shorter local variables
-        map_file = ini_file.get_input_file(self.__map_key)
-        css_file = ini_file.get_input_file(self.__css_key)
-        region_file = ini_file.get_input_file("RegionPolygonFile")
-        section_file = ini_file.get_input_file("SectionPolygonFile")
+        input_files: InputFiles = ini_file.get_input_files()
 
         # Check if mandatory input exists
-        if not Path(map_file).is_file():
+        if not Path(input_files.map_file).is_file():
             self.set_logger_message(
-                f"File for {self.__map_key} not found at {map_file}",
+                f"File for {self.__map_key} not found at {input_files.map_file}",
                 "error",
             )
             raise_file_not_found = True
-        if not Path(css_file).is_file():
+        if not Path(input_files.css_file).is_file():
             self.set_logger_message(
-                f"File for {self.__css_key} not found at {css_file}",
+                f"File for {self.__css_key} not found at {input_files.css_file}",
                 "error",
             )
             raise_file_not_found = True
         if raise_file_not_found:
             raise InitializationError
 
-        # Read FM model data
+        # Preprocess the data
         try:
-            self._set_fm_model_data(
-                map_file,
-                css_file,
-                region_file,
-                section_file,
+            self.model_data = build_model_data(
+                input_files,
+                default_region=ini_file.get_parameter("DefaultRegion"),
+                default_section=ini_file.get_parameter("DefaultSection"),
+                logger=self.get_logger(),
             )
         except PolygonError as e:
             self.set_logger_message(f"Error during initialisation: {e}", "error")
@@ -268,10 +264,18 @@ def _initialise_fm2prof(self) -> None:
             )
             raise InitializationError
 
-        # print goodbye
-        ntsteps: int = self.fm_model_data.time_dependent_data.get("waterlevel").shape[1]
-        nfaces: int = self.fm_model_data.time_dependent_data.get("waterlevel").shape[0]
-        nedges: int = self.fm_model_data.edge_data.get("x").shape[0]
+        if self.model_data.has_hydraulics:
+            ntsteps: int = self.model_data.hydraulics.waterlevel.shape[1]
+            nfaces: int = self.model_data.hydraulics.waterlevel.shape[0]
+        else:
+            ntsteps:int = 0
+            nfaces: int = self.model_data.geometry.x.shape[0]
+
+        if self.model_data.has_edges:
+            nedges: int = self.model_data.edges.x.shape[0]
+        else:
+            nedges: int = 0
+
         self.set_logger_message("finished reading FM and cross-sectional data data")
         self.set_logger_message(
             f"Number of: timesteps ({ntsteps}), "
@@ -282,54 +286,48 @@ def _initialise_fm2prof(self) -> None:
 
         return success
 
-    def _validate_config_after_initalization(self) -> bool:
-        """Perform validation checks on config file.
+    def _generate_cross_section_list(self) -> list[CrossSection]:
+        """Generate cross sections based on the given model_data.
+
+        Returns:
+        -------
+            (list): List of generated cross sections
 
-        Returns True if all checks succesfull, False if check fails.
         """
-        success: bool = True
+        cross_sections = []
+        if not self.model_data:
+            return cross_sections
 
-        self.set_logger_message("Validating settings", "Info")
+        # Preprocess css from model_data so it's easier to handle it.
+        css_data_list = self.model_data.css_data_list
 
-        # Check if skipmaps is lower than maximum amount of maps
-        nsteps: int = self.fm_model_data.time_dependent_data.get("waterlevel").shape[1]
-        skipmap: int = self.get_inifile().get_parameter(self.__key_skipmaps)
+        # Set the number of cross-section for progress bar
+        css_selection = self._get_css_range(number_of_css=len(css_data_list))
+        self.get_logformatter().set_number_of_iterations(len(css_selection) + 1)
+        selected_list = np.array(css_data_list)[css_selection]
 
-        if skipmap >= nsteps:
-            self.set_logger_message(
-                f"""You are attempting to skip more than  available timesteps.
-                ({self.__key_skipmaps} = {skipmap}, available maps in output file:
-                 {nsteps}). Modify the value of {self.__key_skipmaps}
-                in your configuration file to fix this error.""",
-                level="error",
-            )
-            success = False
-        elif skipmap > nsteps / 2:
-            self.set_logger_message(
-                f"""You are skipping more than half of available timesteps.
-                    ({self.__key_skipmaps} = {skipmap}, available maps in output file: {nsteps})""",
-                level="warning",
+        # Generate cross-sections one by one
+        pbar = tqdm.tqdm(total=len(selected_list))
+        for i, css_data in enumerate(selected_list):
+            self.start_new_log_task(
+                f"{css_data.get('id')}  ({i}/{len(selected_list)})",
+                pbar=pbar,
             )
-
-        # Check if edge/face data is available
-        if (
-            "edge_faces" not in self.fm_model_data.edge_data
-            and self.get_inifile().get_parameter(self.__key_frictionweighingmethod) == 1
-        ):
-            self.set_logger_message(
-                "Friction weighing set to 1 (area-weighted average"
-                "but FM map file does contain the *edge_faces* keyword."
-                "Area weighting is not possible. Defaulting to simple unweighted"
-                "averaging",
-                level="warning",
+            generated_cross_section = self._generate_cross_section(
+                css_data,
+                self.model_data,
             )
+            if generated_cross_section is not None:
+                cross_sections.append(generated_cross_section)
+            pbar.update(1)
 
-        return success
+        return cross_sections
 
     def _finalise_fm2prof(self, cross_sections: list[CrossSection]) -> None:
         """Write to output, perform checks."""
-        self.set_logger_message("Interpolating roughness")
-        CrossSectionHelpers().interpolate_friction_across_cross_sections(cross_sections)
+        if self.model_data.has_edges & self.model_data.has_hydraulics:
+            self.set_logger_message("Interpolating roughness")
+            CrossSectionHelpers().interpolate_friction_across_cross_sections(cross_sections)
 
         # Export cross sections
         output_dir = self.get_inifile().get_output_directory()
@@ -357,12 +355,71 @@ def _finalise_fm2prof(self, cross_sections: list[CrossSection]) -> None:
             self.set_logger_message("Error while exporting bounding boxes", "error")
             self.set_logger_message(e_message, "error")
 
+    def _validate_config_after_initalization(self) -> bool:
+        """Perform validation checks on config file.
+
+        Returns True if all checks succesful, False if check fails.
+        """
+        success: bool = True
+
+        self.set_logger_message("Validating settings", "Info")
+
+        if self.model_data.has_hydraulics:
+            success = self._validate_skipmaps_is_lower_than_available_maps()
+        else:
+            self.set_logger_message("""Running FM2PROF without
+hydraulic data in `GIS2PROF` mode. See documentation for more information""")
+
+        if self.model_data.has_edges:
+            success = self._validate_edge_face_in_file()
+        else:
+            self.set_logger_message("""Running FM2PROF without edge data. Roughness will not be
+inferred but set to default values.""")
+
+        return success
+
+    def _validate_edge_face_in_file(self) -> bool:
+        if (
+            self.model_data.edges.edge_faces is None
+            and self.get_inifile().get_parameter(self.__key_frictionweighingmethod) == 1
+        ):
+            self.set_logger_message(
+                "Friction weighing set to 1 (area-weighted average"
+                "but FM map file does contain the *edge_faces* keyword."
+                "Area weighting is not possible. Defaulting to simple unweighted"
+                "averaging",
+                level="warning",
+            )
+
+        return True
+
+    def _validate_skipmaps_is_lower_than_available_maps(self) -> bool:
+        """Check if skipmaps is lower than maximum amount of maps."""
+        nsteps: int = self.model_data.hydraulics.waterlevel.shape[1]
+        skipmap: int = self.get_inifile().get_parameter(self.__key_skipmaps)
+
+        if skipmap >= nsteps:
+            self.set_logger_message(
+                f"""You are attempting to skip more than  available timesteps.
+                ({self.__key_skipmaps} = {skipmap}, available maps in output file:
+                 {nsteps}). Modify the value of {self.__key_skipmaps}
+                in your configuration file to fix this error.""",
+                level="error",
+            )
+            return False
+        elif skipmap > nsteps / 2:
+            self.set_logger_message(
+                f"""You are skipping more than half of available timesteps.
+                    ({self.__key_skipmaps} = {skipmap}, available maps in output file: {nsteps})""",
+                level="warning",
+            )
+        return True
+
     def _create_debug_output_if_not_exists(self, output_dir: Path) -> None:
         """Create debug output directory if it does not exist."""
         if not output_dir.exists():
             output_dir.mkdir(parents=True, exist_ok=True)
 
-
     def _export_envelope(
         self,
         output_dir: Path | str,
@@ -391,160 +448,6 @@ def _export_envelope(
         with Path(output_dir).joinpath("cross_section_volumes.geojson").open("w") as f:
             geojson.dump(FeatureCollection(css_hulls), f, indent=2)
 
-    def _set_fm_model_data(
-        self,
-        res_file: str | Path,
-        css_file: str | Path,
-        region_file: str | Path,
-        section_file: str | Path,
-    ) -> tuple:
-        """Read input files for 'FM2PROF'.
-
-        See documentation for file format descriptions.
-
-        Args:
-            res_file (str | Path): path to FlowFM map netcfd file (*_map.nc)
-            css_file (str | Path): path to cross-section definition file
-            region_file (str | Path): path to region polygon file
-            section_file (str | Path): path to section polygon file
-
-        Returns:
-            tuple: Tuple containing time dependent data, time independent data, edge data, node coordinates,
-            and cross section data.
-
-        """
-        ini_file = self.get_inifile()
-
-        # Read FM map file
-        self.set_logger_message("Reading FM Map file")
-        (
-            time_independent_data,
-            edge_data,
-            node_coordinates,
-            time_dependent_data,
-        ) = FMDataImporter(res_file).import_dflow2d()
-
-        # Load locations and names of cross-sections
-        self.set_logger_message("Reading css file")
-        importer = ImportInputFiles(logger=self.get_logger())
-        cssdata = importer.css_file(css_file)
-
-        # Read region & section polygon files
-        self.set_logger_message("Reading polygon files")
-
-        regions = RegionPolygon(region_file,
-                                logger=self.get_logger(),
-                                default_value=ini_file.get_parameter("DefaultRegion")) if region_file else None
-        sections = SectionPolygon(section_file,
-                                  logger=self.get_logger(),
-                                  default_value=ini_file.get_parameter("DefaultSection")) if section_file else None
-
-        # Assign 2D points to cross-sections
-        if regions is None:
-            self.set_logger_message(
-                "All 2D points assigned to the same region and classifying points to cross-sections",
-            )
-            time_independent_data, edge_data = nearest_neighbour.classify_without_regions(
-                cssdata,
-                time_independent_data,
-                edge_data,
-            )
-        else:
-            self.set_logger_message("Assigning 2D points to regions using Region Polygon")
-            # do in-polygon
-            gridpoints_in_regions: GridPointsInPolygonResults = regions.get_gridpoints_in_polygon(res_file)
-            time_independent_data["region"] = gridpoints_in_regions.faces_in_polygon
-            edge_data["region"] = gridpoints_in_regions.edges_in_polygon
-
-            # Determine in which region the cross-sections are
-            css_regions = regions.get_points_in_polygon(cssdata["xy"], property_name="region")
-
-            # do nearest_neighbour.classify_with_regions
-            time_independent_data, edge_data = nearest_neighbour.classify_with_regions(
-                cssdata,
-                time_independent_data,
-                edge_data,
-                css_regions,
-            )
-
-        # Classify sections
-        if sections is None:
-            self.set_logger_message("Assigning point to sections without polygons")
-            edge_data = self._classify_roughness_sections_by_variance(
-                edge_data,
-                time_dependent_data["chezy_edge"],
-            )
-            time_independent_data = self._classify_roughness_sections_by_variance(
-                time_independent_data,
-                time_dependent_data["chezy_mean"],
-            )
-        else:
-            self.set_logger_message("Assigning 2D points to sections using Section Polygon")
-            # do in-polygon
-            gridpoints_in_sections: GridPointsInPolygonResults = sections.get_gridpoints_in_polygon(res_file)
-
-            time_independent_data["section"] = gridpoints_in_sections.faces_in_polygon
-            edge_data["section"] = gridpoints_in_sections.edges_in_polygon
-
-        self.fm_model_data = FmModelData(
-            time_dependent_data=time_dependent_data,
-            time_independent_data=time_independent_data,
-            edge_data=edge_data,
-            node_coordinates=node_coordinates,
-            css_data_dictionary=cssdata,
-        )
-
-
-    def _classify_roughness_sections_by_variance(
-        self,
-        data: pd.DataFrame | dict,
-        variable: pd.DataFrame,
-    ) -> pd.DataFrame | dict:
-        """Classify the region into main channel and floodplain based on roughness.
-
-        It is used when the user does not specify a section polygon.
-
-        This method assumes that the main channel is much deeper than the floodplain. Therefore,
-        the Chézy values will be higher than those in the floodplain. The objective is now to
-        define a split-value that minimizes the variance of the split sets.
-
-        .. note::
-            Variance reduction classification is method often used in decision tree learning,
-            e.g. see https://en.wikipedia.org/wiki/Decision_tree_learning#Variance_reduction
-            for more information.
-
-        """
-        # Get chezy values at last timestep
-        end_values = variable.T.iloc[-1].to_numpy()
-        key = "section"
-        threshold_no_variance = 2 # this means that all end values are very close together, so do not split
-
-        # Find split point (chezy value) by variance minimisation
-        split_candidates = np.arange(min(end_values), max(end_values), 1)
-        if len(split_candidates) < threshold_no_variance:
-            data[key][:] = 1
-        else:
-            variance_list = [
-                np.max(
-                    [
-                        np.var(end_values[end_values > split]),
-                        np.var(end_values[end_values <= split]),
-                    ],
-                )
-                for split in split_candidates
-            ]
-            splitpoint = split_candidates[np.nanargmin(variance_list)]
-
-            # High chezy values are assigned to section number '1' (Main channel)
-            # Low chezy values are assigned to section number '2' (Flood plain)
-            if isinstance(data, pd.DataFrame):
-                data.loc[end_values > splitpoint, key] = 1
-                data.loc[end_values <= splitpoint, key] = 2
-            else:
-                data[key][end_values > splitpoint] = 1
-                data[key][end_values <= splitpoint] = 2
-        return data
-
     def _generate_geojson_output(self, output_dir: str, cross_sections: list) -> None:
         """Generate geojson file based on cross sections.
 
@@ -554,7 +457,8 @@ def _generate_geojson_output(self, output_dir: str, cross_sections: list) -> Non
             cross_sections (list): List of Cross Sections.
 
         """
-        for pointtype in ["face", "edge"]:
+        pointtypes = ["face", "edge"] if self.model_data.has_edges else ["face"]
+        for pointtype in pointtypes:
             output_file_path = Path(output_dir) / f"{pointtype}_output.geojson"
             try:
                 node_points = [
@@ -570,49 +474,12 @@ def _generate_geojson_output(self, output_dir: str, cross_sections: list) -> Non
                 self.set_logger_message("Done", level="debug")
             except Exception as e_info:
                 self.set_logger_message(
-                    ("Error while generation .geojson file,"
+                    ("Error while generating .geojson file,"
                      f"at {output_file_path}"
                      f"Reason: {e_info!s}"),
                     level="error",
                 )
 
-    def _generate_cross_section_list(self) -> list[CrossSection]:
-        """Generate cross sections based on the given fm_model_data.
-
-        Returns:
-        -------
-            (list): List of generated cross sections
-
-        """
-        cross_sections = []
-        if not self.fm_model_data:
-            return cross_sections
-
-        # Preprocess css from fm_model_data so it's easier to handle it.
-        css_data_list = self.fm_model_data.css_data_list
-
-        # Set the number of cross-section for progress bar
-        css_selection = self._get_css_range(number_of_css=len(css_data_list))
-        self.get_logformatter().set_number_of_iterations(len(css_selection) + 1)
-        selected_list = np.array(css_data_list)[css_selection]
-
-        # Generate cross-sections one by one
-        pbar = tqdm.tqdm(total=len(selected_list))
-        for i, css_data in enumerate(selected_list):
-            self.start_new_log_task(
-                f"{css_data.get('id')}  ({i}/{len(selected_list)})",
-                pbar=pbar,
-            )
-            generated_cross_section = self._generate_cross_section(
-                css_data,
-                self.fm_model_data,
-            )
-            if generated_cross_section is not None:
-                cross_sections.append(generated_cross_section)
-            pbar.update(1)
-
-        return cross_sections
-
     def _get_css_range(self, number_of_css: int) -> np.array:
         """Parse the CssSelection keyword from the inifile."""
         css_selection = self.get_inifile().get_parameter("CssSelection")
@@ -625,8 +492,8 @@ def _get_css_range(self, number_of_css: int) -> np.array:
     def _generate_cross_section(
         self,
         css_data: dict,
-        fm_model_data: FmModelData,
-    ) -> CrossSection:
+        model_data: ModelData,
+    ) -> CrossSection | None:
         """Generate a cross section and configures its values based.
 
         on the input parameter dictionary
@@ -634,13 +501,13 @@ def _generate_cross_section(
         Args:
         ----
             css_data (dict): Dictionary of data for the current cross section.
-            fm_model_data (FmModelData): Data to assign to the new cross section
+            model_data (FmModelData): Data to assign to the new cross section
 
         Raises:
         ------
             Exception: If no css_data is given.
             Exception: If no input_param_dict is given.
-            Exception: If no fm_model_data is given.
+            Exception: If no model_data is given.
 
         Returns:
         -------
@@ -655,8 +522,8 @@ def _generate_cross_section(
         if not css_name:
             css_name = "new_cross_section"
 
-        if fm_model_data is None:
-            err_msg = f"No FM data given for new cross section {css_name}"
+        if model_data is None:
+            err_msg = f"No model data given for new cross section {css_name}"
             raise ValueError(err_msg)
 
         # Create cross section
@@ -677,11 +544,13 @@ def _generate_cross_section(
 
         self.set_logger_message("Initiated new cross-section", "info")
         self._build_cross_section_geometry(cross_section=created_css)
-        self._build_cross_section_roughness(cross_section=created_css)
+        if self.model_data.has_edges & self.model_data.has_hydraulics:
+            self._build_cross_section_roughness(cross_section=created_css)
 
         # if self.get_inifile().get_parameter('ExportMapFiles'):
         created_css.set_face_output_list()
-        created_css.set_edge_output_list()
+        if self.model_data.has_edges:
+            created_css.set_edge_output_list()
 
         if created_css is not None:
             self.finish_log_task()
@@ -707,12 +576,12 @@ def _build_cross_section_geometry(
         cross_section.build_geometry()
 
         # 2D Volume Correction (SummerDike option)
-        if self.get_inifile().get_parameter("SDCorrection"):
+        if self.get_inifile().get_parameter("SDCorrection") & self.model_data.has_hydraulics:
             self.set_logger_message("Starting correction", "debug")
             cross_section = self._perform_2D_volume_correction(cross_section)
         else:
             self.set_logger_message(
-                "SD Correction not enable in configuration file, skipping",
+                "SD Correction not enabled in configuration file or no hydraulics in model data, skipping",
                 "info",
             )
 
@@ -764,7 +633,7 @@ def _create_new_cross_section(self, css_data: dict) -> CrossSection | None:
             return None
 
         # Get remainig data
-        css_data["fm_data"] = self.fm_model_data.get_selection(css_data.get("id"))
+        css_data["model_data"] = self.model_data.get_selection(css_data.get("id"))
 
         if self.get_inifile().get_parameter("ExportCSSData"):
             output_dir = Path(self.get_inifile().get_output_directory())
@@ -777,7 +646,6 @@ def _create_new_cross_section(self, css_data: dict) -> CrossSection | None:
             data=css_data,
         )
 
-
     def _write_output(self, cross_sections: list, output_dir: Path) -> None:
         """Export all cross sections to the necessary file formats.
 
@@ -793,7 +661,10 @@ def _write_output(self, cross_sections: list, output_dir: Path) -> None:
         # Export D-Hydro format
         try:
             dhydro_exporter = ExporterFactory.create("dhydro", output_dir=output_dir / "dhydro")
-            dhydro_exporter.export_all(cross_sections)
+            if self.model_data.has_hydraulics & self.model_data.has_edges:
+                dhydro_exporter.export_all(cross_sections)
+            else:
+                dhydro_exporter.export_geometry(cross_sections)
             self.set_logger_message("Successfully exported D-Hydro format files", "info")
         except (ValueError, OSError, KeyError) as e_info:
             self.set_logger_message(
@@ -806,7 +677,10 @@ def _write_output(self, cross_sections: list, output_dir: Path) -> None:
         # Export D-Flow 1D format
         try:
             dflow1d_exporter = ExporterFactory.create("dflow1d", output_dir=output_dir / "dflow1d")
-            dflow1d_exporter.export_all(cross_sections)
+            if self.model_data.has_hydraulics & self.model_data.has_edges:
+                dflow1d_exporter.export_all(cross_sections)
+            else:
+                dflow1d_exporter.export_geometry(cross_sections)
             self.set_logger_message("Successfully exported D-Flow 1D format files", "info")
         except (ValueError, OSError, KeyError) as e_info:
             self.set_logger_message(
diff --git a/fm2prof/imports/__init__.py b/fm2prof/imports/__init__.py
new file mode 100644
index 00000000..887408af
--- /dev/null
+++ b/fm2prof/imports/__init__.py
@@ -0,0 +1,16 @@
+"""FM2PROF import module.
+
+Provides importers for reading 2D model data from various formats.
+
+Example:
+    >>> from fm2prof.imports import ImporterFactory
+    >>> importer = ImporterFactory.create("dflowfm", "path/to/map.nc")
+    >>> data = importer.import_data()
+    >>> selection = data.get_selection("css_001")
+
+"""
+
+from fm2prof.imports.base import BaseImporter, ModelData
+from fm2prof.imports.factory import ImporterFactory, detect_source
+
+__all__ = ["BaseImporter", "ImporterFactory", "ModelData", "detect_source"]
diff --git a/fm2prof/imports/base.py b/fm2prof/imports/base.py
new file mode 100644
index 00000000..b23a8b99
--- /dev/null
+++ b/fm2prof/imports/base.py
@@ -0,0 +1,234 @@
+"""Base importer class and generalized ModelData for all import formats."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field, fields
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+
+from fm2prof.common import FM2ProfBase
+
+
+def _ndarray_setattr(obj: object, name: str, value: object) -> None:
+    """Coerce value to np.ndarray using dtype declared in field metadata."""
+    for f in fields(obj.__class__):
+        if f.name == name:
+            dtype = f.metadata.get("dtype")
+            if dtype is not None:
+                value = np.asarray(value, dtype=dtype)
+            break
+    object.__setattr__(obj, name, value)
+
+
+@dataclass
+class FaceGeometry:
+    """Geometric properties of 2D mesh faces (cells). All arrays have length N_faces."""
+
+    x:        np.ndarray = field(metadata={"dtype": float})   # face centroid x-coordinate [m]
+    y:        np.ndarray = field(metadata={"dtype": float})   # face centroid y-coordinate [m]
+    area:     np.ndarray = field(metadata={"dtype": float})   # face area [m2]
+    bedlevel: np.ndarray = field(metadata={"dtype": float})   # bed level [m+NAP]
+    section:  np.ndarray = field(metadata={"dtype": object})  # section classification (main/floodplain)
+    region:   np.ndarray = field(metadata={"dtype": object})  # region label → cross-section name
+    islake:   np.ndarray = field(metadata={"dtype": bool})    # True if face belongs to a lake
+    sclass:   np.ndarray = field(metadata={"dtype": object})  # cross-section class label for selection
+
+    def __setattr__(self, name: str, value: object) -> None:
+        _ndarray_setattr(self, name, value)
+
+
+@dataclass
+class EdgeGeometry:
+    """Geometric properties of 2D mesh edges (flow links). All arrays have length N_edges."""
+
+    x:          np.ndarray = field(metadata={"dtype": float})   # edge centroid x-coordinate [m]
+    y:          np.ndarray = field(metadata={"dtype": float})   # edge centroid y-coordinate [m]
+    section:    np.ndarray = field(metadata={"dtype": object})  # section classification per edge
+    region:     np.ndarray = field(metadata={"dtype": object})  # region classification per edge
+    sclass:     np.ndarray = field(metadata={"dtype": object})  # cross-section class label for selection
+    edge_nodes: np.ndarray = field(metadata={"dtype": int})     # node indices per edge, shape (N_edges, 2)
+    edge_faces: np.ndarray | None = None  # face indices per edge, shape (N_edges, 2)
+
+    def __setattr__(self, name: str, value: object) -> None:
+        if name == "edge_faces":
+            object.__setattr__(self, name, np.asarray(value) if value is not None else None)
+        else:
+            _ndarray_setattr(self, name, value)
+
+
+@dataclass
+class HydraulicData:
+    """Time-dependent hydraulic results. Shape (N_timesteps, N_faces) unless noted."""
+
+    waterlevel: np.ndarray = field(metadata={"dtype": float})  # water surface level [m+NAP]
+    waterdepth: np.ndarray = field(metadata={"dtype": float})  # water depth [m]
+    velocity_x: np.ndarray = field(metadata={"dtype": float})  # x-component depth-averaged velocity [m/s]
+    velocity_y: np.ndarray = field(metadata={"dtype": float})  # y-component depth-averaged velocity [m/s]
+    chezy_edge: np.ndarray = field(metadata={"dtype": float})  # Chezy roughness on edges [m0.5/s]
+
+    def __setattr__(self, name: str, value: object) -> None:
+        _ndarray_setattr(self, name, value)
+
+
+@dataclass
+class CrossSectionData:
+    """Definition of a single cross-section location from the 1D model."""
+
+    name: str
+    """Unique cross-section identifier."""
+
+    length: float
+    """Representative length [m]."""
+
+    location: tuple[float, float]
+    """(x, y) coordinates of the cross-section."""
+
+    branch_id: str
+    """Branch identifier in the 1D network."""
+
+    offset: float
+    """Offset along the branch [m]."""
+
+
+class ModelData:
+    """Source-agnostic container for all data required to generate 1D cross-sections.
+
+    ``geometry`` is always required. ``edges`` and ``hydraulics`` are optional
+    to support future use cases where only geometric data is available
+    (e.g. mesh inspection, dry-run validation).
+
+    Attributes:
+        geometry:       Required. Geometric properties of 2D mesh faces.
+        cross_sections: Required. Ordered list of cross-section definitions.
+        source:         Required. Format identifier, e.g. ``'dflowfm'``.
+        edges:          Optional. Geometric properties of 2D mesh edges.
+        hydraulics:     Optional. Time-dependent hydraulic results.
+
+    """
+
+    def __init__(
+        self,
+        geometry: FaceGeometry,
+        cross_sections: list[CrossSectionData],
+        source: str,
+        edges: EdgeGeometry | None = None,
+        hydraulics: HydraulicData | None = None,
+    ) -> None:
+        self.geometry = geometry
+        self.cross_sections = cross_sections
+        self.source = source
+        self.edges = edges
+        self.hydraulics = hydraulics
+        self.css_data_list: list[dict] = []
+
+    @property
+    def has_hydraulics(self) -> bool:
+        """Return True if hydraulic data is available."""
+        return self.hydraulics is not None
+
+    @property
+    def has_edges(self) -> bool:
+        """Return True if edge geometry data is available."""
+        return self.edges is not None
+
+    def get_selection(self, css_name: str) -> dict:
+        """Return all 2D data for cross-section ``css_name``.
+
+        Args:
+            css_name: Name of the cross-section to select.
+
+        Returns:
+            Dictionary with all available 2D data for the cross-section.
+            Keys for edges and hydraulics are omitted if those are not available.
+
+        Raises:
+            ValueError: If hydraulics are required but not available.
+
+        """
+        g = self.geometry
+        mask_face = g.sclass == css_name
+        face_idx = np.nonzero(mask_face)[0]
+
+        result = {
+            "x":        pd.Series(g.x[mask_face],        index=face_idx),
+            "y":        pd.Series(g.y[mask_face],        index=face_idx),
+            "area":     pd.Series(g.area[mask_face],     index=face_idx),
+            "bedlevel": pd.Series(g.bedlevel[mask_face], index=face_idx),
+            "section":  pd.Series(g.section[mask_face],  index=face_idx),
+            "region":   pd.Series(g.region[mask_face],   index=face_idx),
+            "islake":   pd.Series(g.islake[mask_face],   index=face_idx),
+        }
+
+        if self.has_hydraulics:
+            h = self.hydraulics
+            waterdepth = pd.DataFrame(h.waterdepth[mask_face], index=face_idx)
+            waterlevel = pd.DataFrame(h.waterlevel[mask_face].copy(), index=face_idx)
+            waterlevel[waterdepth == 0] = np.nan
+            vx = h.velocity_x[mask_face]
+            vy = h.velocity_y[mask_face]
+
+            result.update({
+                "waterdepth": waterdepth,
+                "waterlevel": waterlevel,
+                "velocity":   pd.DataFrame((vx**2 + vy**2) ** 0.5, index=face_idx),
+            })
+
+        if self.has_edges:
+            e = self.edges
+            mask_edge = e.sclass == css_name
+            result.update({
+                "edge_x":       e.x[mask_edge],
+                "edge_y":       e.y[mask_edge],
+                "edge_section": e.section[mask_edge],
+                "edge_faces":   e.edge_faces[mask_edge] if e.edge_faces is not None else None,
+            })
+
+        if self.has_hydraulics and self.has_edges:
+            mask_edge = self.edges.sclass == css_name
+            result["chezy"] = pd.DataFrame(self.hydraulics.chezy_edge[mask_edge])
+
+        return result
+
+class BaseImporter(FM2ProfBase, ABC):
+    """Abstract base class for all format-specific importers.
+
+    All importers must implement the import_data method, which returns
+    a ModelData object regardless of the source format.
+    """
+
+    def __init__(self, file_path: Path | str) -> None:
+        """Initialize the importer.
+
+        Args:
+            file_path: Path to the input file.
+
+        """
+        super().__init__()
+        self.file_path = Path(file_path)
+
+    @property
+    def file_path(self) -> Path:
+        """Return the file path."""
+        return self._file_path
+
+    @file_path.setter
+    def file_path(self, value: Path | str) -> None:
+        """Set and validate the file path."""
+        if isinstance(value, str):
+            value = Path(value)
+        if not value.exists():
+            raise FileNotFoundError(f"The file {value} does not exist.")
+        self._file_path = value
+
+    @abstractmethod
+    def import_data(self) -> ModelData:
+        """Import data and return a ModelData object.
+
+        Returns:
+            ModelData object containing all imported data.
+
+        """
+        ...
diff --git a/fm2prof/imports/csv_elevation.py b/fm2prof/imports/csv_elevation.py
new file mode 100644
index 00000000..95462305
--- /dev/null
+++ b/fm2prof/imports/csv_elevation.py
@@ -0,0 +1,78 @@
+"""CSV elevation importer for face geometry data."""
+
+from __future__ import annotations
+
+from typing import ClassVar
+
+import numpy as np
+import pandas as pd
+
+from fm2prof.imports.base import BaseImporter, FaceGeometry, ModelData
+
+
+class CsvElevationImporter(BaseImporter):
+    """Importer for CSV files containing face geometry (elevation) data.
+
+    Expected columns:
+        - ``POINT_X``:   face centroid x-coordinate [m]
+        - ``POINT_Y``:   face centroid y-coordinate [m]
+        - ``Z``:   bed level [m+NAP]
+        - ``POLY_AREA``: face area [m²]
+
+    This source only contains geometry — no edge or hydraulic data is available.
+    ``ModelData.edges`` and ``ModelData.hydraulics`` will be ``None``.
+    """
+
+    SOURCE = "csv_elevation"
+
+    COLUMN_X        = "POINT_X"
+    COLUMN_Y        = "POINT_Y"
+    COLUMN_BEDLEVEL = "Z"
+    COLUMN_AREA     = "POLY_AREA"
+
+    REQUIRED_COLUMNS: ClassVar[set[str]] = {COLUMN_X, COLUMN_Y, COLUMN_BEDLEVEL, COLUMN_AREA}
+
+    def import_data(self) -> ModelData:
+        """Import face geometry from a CSV elevation file.
+
+        Returns:
+            :class:`~fm2prof.imports.base.ModelData` with ``geometry`` populated.
+            ``edges`` and ``hydraulics`` are ``None``.
+
+        Raises:
+            ValueError: If any required columns are missing from the CSV.
+        """
+        self.set_logger_message(f"Reading CSV elevation file: {self.file_path}")
+
+        faces = pd.read_csv(self.file_path)
+
+        missing = self.REQUIRED_COLUMNS - set(faces.columns)
+        if missing:
+            msg = (
+                f"CSV file is missing required columns: {sorted(missing)}. "
+                f"Available columns: {list(faces.columns)}"
+            )
+            raise ValueError(msg)
+
+        n_faces = len(faces)
+        geometry = FaceGeometry(
+            x=        faces[self.COLUMN_X].to_numpy(dtype=float),
+            y=        faces[self.COLUMN_Y].to_numpy(dtype=float),
+            bedlevel= faces[self.COLUMN_BEDLEVEL].to_numpy(dtype=float),
+            area=     faces[self.COLUMN_AREA].fillna(0.0).to_numpy(dtype=float),
+            # classification fields — populated later by the preprocessing pipeline
+            section=  np.array(["main"]      * n_faces, dtype=object),
+            region=   np.array([""]          * n_faces, dtype=object),
+            sclass=   np.array([""]          * n_faces, dtype=object),
+            islake=   np.zeros(n_faces,        dtype=bool),
+        )
+
+        self.set_logger_message(f"Imported {n_faces} faces from CSV elevation file")
+
+        return ModelData(
+            geometry=geometry,
+            cross_sections=[],
+            source=self.SOURCE,
+            edges=None,
+            hydraulics=None,
+        )
diff --git a/fm2prof/imports/dflowfm.py b/fm2prof/imports/dflowfm.py
new file mode 100644
index 00000000..779c384c
--- /dev/null
+++ b/fm2prof/imports/dflowfm.py
@@ -0,0 +1,168 @@
+"""DFlowFM-specific importer, migrated from data_import.py."""
+
+from __future__ import annotations
+
+import numpy as np
+import xarray as xr
+from netCDF4 import Dataset
+
+from fm2prof.imports.base import (
+    BaseImporter,
+    EdgeGeometry,
+    FaceGeometry,
+    HydraulicData,
+    ModelData,
+)
+
+
+class DFlowFMImporter(BaseImporter):
+    """Importer for D-Flow FM 2D map output files (*_map.nc)."""
+
+    SOURCE = "dflowfm"
+
+    @property
+    def dflow2d_face_keys(self) -> dict:
+        """Mapping with dflow2d face keys."""
+        return {
+            "x": "mesh2d_face_x",
+            "y": "mesh2d_face_y",
+            "area": "mesh2d_flowelem_ba",
+            "bedlevel": "mesh2d_flowelem_bl",
+        }
+
+    @property
+    def dflow2d_edge_keys(self) -> dict:
+        """Mapping with dflow2d edge keys."""
+        return {
+            "x": "mesh2d_edge_x",
+            "y": "mesh2d_edge_y",
+            "edge_faces": "mesh2d_edge_faces",
+            "edge_nodes": "mesh2d_edge_nodes",
+        }
+
+    @property
+    def dflow2d_result_keys(self) -> dict:
+        """Mapping with dflow2d result keys."""
+        return {
+            "waterdepth": "mesh2d_waterdepth",
+            "waterlevel": "mesh2d_s1",
+            "chezy_mean": "mesh2d_czs",  # not used anymore!
+            "chezy_edge": "mesh2d_czu",
+            "velocity_x": "mesh2d_ucx",
+            "velocity_y": "mesh2d_ucy",
+            "velocity_edge": "mesh2d_u1",
+        }
+
+    def get_variable(self, var_name: str) -> np.ndarray:
+        """Get a variable from the netCDF file.
+
+        Args:
+            var_name: Name of the variable to retrieve.
+
+        Returns:
+            Variable data as numpy array.
+
+        """
+        with xr.open_dataset(self.file_path, engine="netcdf4") as grid:
+            return grid[var_name].to_numpy()
+
+    def import_data(self) -> ModelData:
+        """Import data from a D-Flow FM map file and return a ModelData object.
+
+        Returns:
+            ModelData with geometry, edges, and hydraulics populated.
+            cross_sections is empty by default; it is populated later
+            by fm2prof_runner after reading the css location file.
+
+        """
+        self.set_logger_message("Reading D-Flow FM map file")
+
+        with Dataset(self.file_path, "r") as map_file:
+            internal_edges = map_file.variables["mesh2d_edge_type"][:] == 1
+            geometry = self._read_face_geometry(map_file)
+            edges = self._read_edge_geometry(map_file, internal_edges)
+            hydraulics = self._read_hydraulic_data(map_file, internal_edges)
+
+        return ModelData(
+            geometry=geometry,
+            cross_sections=[],
+            source=self.SOURCE,
+            edges=edges,
+            hydraulics=hydraulics,
+        )
+
+    # --- Private helpers ------------------------------------------------------
+
+    def _read_face_geometry(self, map_file: Dataset) -> FaceGeometry:
+        """Read time-invariant face geometry from the map file."""
+        n_faces = len(np.array(map_file.variables["mesh2d_face_x"]))
+        return FaceGeometry(
+            x=        np.array(map_file.variables["mesh2d_face_x"]),
+            y=        np.array(map_file.variables["mesh2d_face_y"]),
+            area=     np.array(map_file.variables["mesh2d_flowelem_ba"]),
+            bedlevel= np.array(map_file.variables["mesh2d_flowelem_bl"]),
+            # classification fields — populated later by fm2prof_runner
+            section=  np.array(["main"] * n_faces, dtype="object"),
+            region=   np.array([""]     * n_faces, dtype="object"),
+            sclass=   np.array([""]     * n_faces, dtype="object"),
+            islake=   np.zeros(n_faces, dtype=bool),
+        )
+
+    def _read_edge_geometry(self, map_file: Dataset, internal_edges: np.ndarray) -> EdgeGeometry:
+        """Read time-invariant edge geometry from the map file."""
+        n_edges = int(np.sum(internal_edges))
+
+        edge_faces = None
+        try:
+            edge_faces = np.array(map_file.variables["mesh2d_edge_faces"])[internal_edges]
+        except KeyError:
+            self.set_logger_message(
+                "mesh2d_edge_faces not present in the file - edge_faces will be None.",
+                "warning",
+            )
+
+        try:
+            edge_nodes = np.array(map_file.variables["mesh2d_edge_nodes"])[internal_edges]
+        except KeyError:
+            self.set_logger_message(
+                "mesh2d_edge_nodes not present in the file - edge_nodes will be empty.",
+                "warning",
+            )
+            edge_nodes = np.empty((n_edges, 2), dtype=int)
+
+        return EdgeGeometry(
+            x =          np.array(map_file.variables["mesh2d_edge_x"])[internal_edges],
+            y =          np.array(map_file.variables["mesh2d_edge_y"])[internal_edges],
+            edge_nodes = edge_nodes,
+            edge_faces = edge_faces,
+            # classification fields — populated later by fm2prof_runner
+            section =    np.array(["main"] * n_edges, dtype="U99"),
+            region =    np.array(["undefined"] * n_edges, dtype="U99"),
+            sclass =     np.array([""]     * n_edges, dtype="U99"),
+        )
+
+    def _read_hydraulic_data(self, map_file: Dataset, internal_edges: np.ndarray) -> HydraulicData:
+        """Read time-dependent hydraulic results from the map file."""
+        def _face_array(nckey: str) -> np.ndarray:
+            return np.array(map_file.variables[nckey]).T
+
+        def _edge_array(nckey: str) -> np.ndarray:
+            return np.array(map_file.variables[nckey]).T[internal_edges]
+
+        try:
+            chezy_edge = _edge_array("mesh2d_czu")
+        except KeyError:
+            chezy_edge = _edge_array("mesh2d_cftrt")
+            self.set_logger_message(
+                "The D-Flow FM output does not have the 'mesh2d_czu' key. Reverting to mesh2d_cftrt. "
+                "Make sure that UnifFrictType is set to 0 (Chezy) in the D-Flow FM mdu file.",
+                "warning",
+            )
+
+        return HydraulicData(
+            waterlevel= _face_array("mesh2d_s1"),
+            waterdepth= _face_array("mesh2d_waterdepth"),
+            velocity_x= _face_array("mesh2d_ucx"),
+            velocity_y= _face_array("mesh2d_ucy"),
+            chezy_edge= chezy_edge,
+        )
diff --git a/fm2prof/imports/factory.py b/fm2prof/imports/factory.py
new file mode 100644
index 00000000..507f5d21
--- /dev/null
+++ b/fm2prof/imports/factory.py
@@ -0,0 +1,77 @@
+"""Importer factory for creating format-specific importers."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from fm2prof.imports.base import BaseImporter
+
+_EXTENSION_TO_SOURCE: dict[str, str] = {
+    ".nc":  "dflowfm",
+    ".csv": "csv_elevation",
+}
+
+
+def detect_source(map_file: Path | str) -> str:
+    """Infer the importer source from the map file extension.
+
+    Args:
+        map_file: Path to the 2D map output file.
+
+    Returns:
+        Source identifier string (e.g. ``'dflowfm'``, ``'csv_elevation'``).
+
+    Raises:
+        ValueError: If the file extension is not recognised.
+
+    """
+    suffix = Path(map_file).suffix.lower()
+    if suffix not in _EXTENSION_TO_SOURCE:
+        supported = ", ".join(_EXTENSION_TO_SOURCE.keys())
+        msg = f"Cannot infer source from file extension '{suffix}'. Supported extensions: {supported}"
+        raise ValueError(msg)
+    return _EXTENSION_TO_SOURCE[suffix]
+
+
+class ImporterFactory:
+    """Factory for creating format-specific importers.
+
+    Example:
+        >>> importer = ImporterFactory.create("dflowfm", "path/to/map.nc")
+        >>> data = importer.import_data()
+
+    """
+
+    _supported_sources = ("dflowfm", "csv_elevation")
+
+    @staticmethod
+    def create(source: str, file_path: Path | str) -> BaseImporter:
+        """Create an importer for the given source format.
+
+        Args:
+            source: Source format identifier (case-insensitive). Supported: 'dflowfm'.
+            file_path: Path to the input file.
+
+        Returns:
+            A format-specific importer instance.
+
+        Raises:
+            NotImplementedError: If the source format is not supported.
+
+        """
+        from fm2prof.imports.csv_elevation import CsvElevationImporter  # noqa: PLC0415
+        from fm2prof.imports.dflowfm import DFlowFMImporter  # noqa: PLC0415
+
+        source_lower = source.lower()
+
+        importers = {
+            "dflowfm": DFlowFMImporter,
+            "csv_elevation": CsvElevationImporter,
+        }
+
+        if source_lower not in importers:
+            supported = ", ".join(f"'{s}'" for s in importers)
+            msg = f"Unknown import source '{source}'. Supported sources are: {supported}"
+            raise NotImplementedError(msg)
+
+        return importers[source_lower](file_path)
diff --git a/fm2prof/ini_file.py b/fm2prof/ini_file.py
index 4c334931..e910aab8 100644
--- a/fm2prof/ini_file.py
+++ b/fm2prof/ini_file.py
@@ -7,6 +7,7 @@
 import io
 import json
 import os
+from dataclasses import dataclass
 from pathlib import Path
 from pydoc import locate
 from typing import TYPE_CHECKING, Any
@@ -17,6 +18,23 @@
     from collections.abc import Generator, Mapping
     from logging import Logger
 
+
+@dataclass
+class InputFiles:
+    """Convenience container for all FM2PROF input file paths."""
+
+    map_file: Path | str
+    """Path to the 2D model map output file (e.g. ``*_map.nc``)."""
+
+    css_file: Path | str
+    """Path to the cross-section location file."""
+
+    region_file: Path | str | None
+    """Path to the region polygon file, or ``None`` if not specified."""
+
+    section_file: Path | str | None
+    """Path to the section polygon file, or ``None`` if not specified."""
+
 class ConfigurationFileError(Exception):
     """Raised when config file is not up to snot."""
 
@@ -184,6 +202,23 @@ def get_input_file(self, file_name: str) -> str:
         """
         return self._get_from_configuration("input", file_name)
 
+    def get_input_files(self) -> InputFiles:
+        """Return all input file paths as a single :class:`InputFiles` object.
+
+        Returns:
+            InputFiles: convenience container with all input file paths.
+        """
+        def _optional(key: str) -> Path | None:
+            value = self.get_input_file(key)
+            return Path(value) if value else None
+
+        return InputFiles(
+            map_file=Path(self.get_input_file("2DMapOutput")),
+            css_file=Path(self.get_input_file("CrossSectionLocationFile")),
+            region_file=_optional("RegionPolygonFile"),
+            section_file=_optional("SectionPolygonFile"),
+        )
+
     def get_parameter(self, key: str) -> str | bool | int | float | None:
         """Use this method to return a parameter value.
 
@@ -427,19 +462,24 @@ def _extract_output_dir(self, supplied_ini: Mapping[str, list]) -> None:
                     "warning",
                 )
 
-    def _get_valid_output_dir(self, output_dir: str) -> Path:
+    def _get_valid_output_dir(self, output_dir: str | Path) -> Path:
         """Get a normalized output directory path. Creates it if not yet exists.
 
+        Relative paths are resolved relative to the ini file's directory (or CWD if no
+        ini file is loaded), so the directory is created at the correct location.
+        The returned path is stored as-is (relative); ``get_output_directory`` will
+        resolve it against the ini file root when it is retrieved.
+
         Args:
-            output_dir (str): Relative path to the configuration file.
+            output_dir (str | Path): Path to the output directory, possibly relative.
 
         Returns:
-            _Path: Valid output directory path.
+            Path: The (possibly relative) output directory path.
         """
         output_dir = Path(output_dir)
-        if output_dir.exists():
-            return output_dir
-        output_dir.mkdir()
+        resolved = self._file_dir / output_dir if not output_dir.is_absolute() else output_dir
+        if not resolved.exists():
+            resolved.mkdir(parents=True, exist_ok=True)
         return output_dir
 
     @property
diff --git a/fm2prof/nearest_neighbour.py b/fm2prof/nearest_neighbour.py
index 0d830df4..d3c11d76 100644
--- a/fm2prof/nearest_neighbour.py
+++ b/fm2prof/nearest_neighbour.py
@@ -98,7 +98,7 @@ def get_centre_values(
 
     return centre_depth[0], centre_level[0]
 
-def _get_class_tree(xy: np.ndarray, c: np.ndarray) -> KNeighborsClassifier:
+def get_class_tree(xy: np.ndarray, c: np.ndarray) -> KNeighborsClassifier:
     """Get a k-nearest neighbour classifier for given xy and class c.
 
     Parameters
@@ -112,3 +112,7 @@ def _get_class_tree(xy: np.ndarray, c: np.ndarray) -> KNeighborsClassifier:
     neigh.fit(xy, c)
     return neigh
 
+
+# Keep private alias for backwards compatibility within this module
+_get_class_tree = get_class_tree
+
diff --git a/fm2prof/polygon_file.py b/fm2prof/polygon_file.py
index 78274b61..3112593c 100644
--- a/fm2prof/polygon_file.py
+++ b/fm2prof/polygon_file.py
@@ -38,7 +38,7 @@
 from meshkernel import GeometryList, MeshKernel, ProjectionType
 
 from fm2prof.common import FM2ProfBase
-from fm2prof.data_import import FMDataImporter
+from fm2prof.imports import ImporterFactory
 
 if TYPE_CHECKING:
     from logging import Logger
@@ -52,12 +52,14 @@ def __init__(self, message: str) -> None:
         self.message = message
         super().__init__(self.message)
 
+
 class GridPointsInPolygonResults(NamedTuple):
     """Named tuple for grid points in polygon results."""
 
     faces_in_polygon: list[str]
     edges_in_polygon: list[str]
 
+
 class Polygon:
     """Polygon class.
 
@@ -289,7 +291,7 @@ def meshkernel_inpolygon(self,
         mk = MeshKernel(projection=ProjectionType.CARTESIAN)
         mesh2d_input = mk.mesh2d_get()
 
-        fmdata = FMDataImporter(res_file)
+        fmdata = ImporterFactory.create("dflowfm", res_file)
         mesh2d_input.node_x = fmdata.get_variable("mesh2d_node_x")
         mesh2d_input.node_y = fmdata.get_variable("mesh2d_node_y")
         mesh2d_input.edge_nodes = fmdata.get_variable("mesh2d_edge_nodes").flatten() - 1
diff --git a/mkdocs.yml b/mkdocs.yml
index 4773c4ac..05564e0d 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -92,6 +92,7 @@ nav:
       - Quickstart: user_docs/quickstart.md
       - Files and Settings:
         - user_docs/configuration.md
+        - user_docs/input_files.md
         - user_docs/output_files.md
       - Advanced use: 
         - user_docs/troubleshooting.md
diff --git a/pyproject.toml b/pyproject.toml
index 100228c9..ef85b0ff 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,7 +16,7 @@ dependencies = [
     "Shapely~=2.0",
     "click~=8.1",
     "matplotlib>=3.8.0,<4",
-    "typer>=0.9.0,<0.10",
+    "typer>=0.12.0",
     "tqdm>=4.64.0,<5",
     "notebook>=7.1.2,<8",
     "pip>=25.1.1",
@@ -28,13 +28,14 @@ dependencies = [
 [dependency-groups]
 dev = [
     "pytest-cov>=4.1.0,<5",
-    "pytest>=8.1.1,<9",
+    "pytest>=9",
     "pyinstaller>=6.5.0,<7",
     "ipywidgets>=8.1.2,<9",
     "ipympl>=0.9.3,<0.10",
     "markdown-exec[ansi]>=1.8.0,<2",
     "ruff>=0.6.3,<0.7",
     "pytest-mock>=3.14.0,<4",
+    "pip-audit>=2.7.0",
 ]
 docs = [
     "mike>=2.0.0,<3",
@@ -101,7 +102,7 @@ docs = { features = ["docs"], solve-group = "default" }
 [tool.pixi.tasks]
 
 [tool.uv.sources]
-deltares-hms-docs = { git = "https://github.com/Deltares-research/doc_utils.git", branch = "latex-templates" }
+deltares-hms-docs = { git = "https://github.com/Deltares-research/doc_utils.git"}
 
 [tool.coverage.run]
 branch = true
diff --git a/tests/test_acceptance.py b/tests/test_acceptance.py
index cfe8acb1..e415ab5c 100644
--- a/tests/test_acceptance.py
+++ b/tests/test_acceptance.py
@@ -29,8 +29,26 @@
         "total_width": [20, 80],
         "levels": [0, 2],
     }},
+    {
+    "name": "case_20_elevation_only",
+    "inifile": "cases/case_20_only_elevation/fm2prof_config.ini",
+    "expected_cross_section": {
+        "total_width": [0.50, 1.21, 4.53, 15.59, 21.87, 23.51, 24.17, 24.37, 25.09, 25.32, 25.33, 26.02, 26.68, 27.29, 29.10, 30.96, 31.86, 32.94, 33.62, 33.74],
+        "levels":      [0.00, 0.12, 0.23,  0.44,  0.70,  0.85,  1.16,  1.92,  2.21,  2.48,  3.27,  3.73,  3.76,  4.00,  4.14,  4.49,  4.85,  4.86,  4.99,  5.36],
+    },
+    "expected_dflow1d_files": [
+        "CrossSectionLocations.ini",
+        "CrossSectionDefinitions.ini",
+    ],
+    "expected_dhydro_files": [
+        "crsloc.ini",
+        "crsdef.ini",
+    ]},
 ]
 
+# Subset used for idealised cross-section comparison (excludes elevation-only case)
+cases_idealised = [c for c in cases if c["name"] != "case_20_elevation_only"]
+
 # Expected D-Flow 1D output files
 EXPECTED_DFLOW1D_FILES = [
     "CrossSectionLocations.ini",
@@ -49,7 +67,19 @@
 
 class TestAcceptance:
 
-    @pytest.mark.parametrize("case", cases)
+    @pytest.fixture(autouse=True)
+    def clear_polygon_caches(self):
+        """Delete any cached region/section classification files before each test.
+
+        Cache files are placed next to the map file and have the pattern
+        ``<mapfile>.region_cache.json`` and ``<mapfile>.section_cache.json``.
+        Removing them ensures each test run performs a fresh classification.
+        """
+        cache_dir = TestUtils.get_local_test_file("cases/case_02_compound/Data/2DModelOutput")
+        for cache_file in cache_dir.glob("*_cache.json"):
+            cache_file.unlink(missing_ok=True)
+
+    @pytest.mark.parametrize("case", cases_idealised)
     def test_generated_css_match_expected(self, case):
         # 1. Set up test data and expectations
         tolerated_max_level_error = 0.05 # meters
@@ -84,6 +114,31 @@ def test_generated_css_match_expected(self, case):
 
         assert max_lvl_error < tolerated_max_level_error
 
+    def test_elevation_only_css_matches_expectations(self):
+        """Test that the elevation-only case produces a cross-section matching the expected vectors exactly."""
+        case = next(c for c in cases if c["name"] == "case_20_elevation_only")
+        inifile = TestUtils.get_local_test_file(case.get("inifile"))
+
+        # Run case
+        project = Project(inifile)
+        project.set_output_directory(project.get_output_directory() / case.get("name"))
+        success = project.run(overwrite=True)
+        assert success
+
+        # Parse output
+        css_def_file = project.get_output_directory() / "dflow1d" / "CrossSectionDefinitions.ini"
+        css_def = VisualiseOutput.parse_cross_section_definition_file(css_def_file)
+        css = css_def[0]
+
+        # Normalise levels to start at 0
+        css["levels"] = [lvl - min(css["levels"]) for lvl in css["levels"]]
+
+        expected = case.get("expected_cross_section")
+        assert css["total_width"] == pytest.approx(expected["total_width"], abs=0.01), \
+            f"total_width mismatch:\n  actual  : {css['total_width']}\n  expected: {expected['total_width']}"
+        assert css["levels"] == pytest.approx(expected["levels"], abs=0.01), \
+            f"levels mismatch:\n  actual  : {css['levels']}\n  expected: {expected['levels']}"
+
     @pytest.mark.parametrize("case", cases)
     def test_all_dflow1d_output_files_created(self, case):
         """Test that all expected D-Flow 1D output files are created after running a project."""
@@ -105,11 +160,8 @@ def test_all_dflow1d_output_files_created(self, case):
         assert output_dir.exists(), f"Output directory does not exist: {output_dir}"
 
         # 6. Check that all expected files are created
-        missing_files = []
-        for expected_file in EXPECTED_DFLOW1D_FILES:
-            file_path = output_dir / expected_file
-            if not file_path.exists():
-                missing_files.append(expected_file)
+        expected_files = case.get("expected_dflow1d_files", EXPECTED_DFLOW1D_FILES)
+        missing_files = [f for f in expected_files if not (output_dir / f).exists()]
 
         # 7. Assert that no files are missing
         assert not missing_files, (
@@ -136,13 +188,11 @@ def test_all_dhydro_output_files_created(self, case):
         assert output_dir.exists(), f"Output directory does not exist: {output_dir}"
 
         # 6. Check that all expected files are created
-        missing_files = []
-        for expected_file in EXPECTED_DHYDRO_FILES:
-            file_path = output_dir / expected_file
-            if not file_path.exists():
-                missing_files.append(expected_file)
+        expected_files = case.get("expected_dhydro_files", EXPECTED_DHYDRO_FILES)
+        missing_files = [f for f in expected_files if not (output_dir / f).exists()]
 
         # 7. Assert that no files are missing
         assert not missing_files, (
             f"Missing expected output files for case '{case.get('name')}': {missing_files}"
         )
+
diff --git a/tests/test_csv_elevation_importer.py b/tests/test_csv_elevation_importer.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/test_data/cases/case_20_only_elevation/data/mlnbk_nodes.csv b/tests/test_data/cases/case_20_only_elevation/data/mlnbk_nodes.csv
new file mode 100644
index 00000000..e607b719
--- /dev/null
+++ b/tests/test_data/cases/case_20_only_elevation/data/mlnbk_nodes.csv
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diff --git a/tests/test_data/cases/case_20_only_elevation/data/mlnbk_triangles.csv b/tests/test_data/cases/case_20_only_elevation/data/mlnbk_triangles.csv
new file mode 100644
index 00000000..9199a2c6
--- /dev/null
+++ b/tests/test_data/cases/case_20_only_elevation/data/mlnbk_triangles.csv
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+-1,301.373545987169052,82.851273423546232,42059,0.578675904466908,50297,179787.297726683318615,373601.771647494286299,0.000000000000000,26.146667480468750
+-1,301.373545987630450,82.851273423125491,6632,0.456966149875145,50298,179787.511366002261639,373601.127510692924261,0.000000000000000,25.749399185180664
+-1,301.373545983402266,82.851273424008895,42043,0.551060490011142,50299,179787.601484898477793,373600.441616341471672,0.000000000000000,25.737157821655273
+-1,301.373545983472866,82.851273424001235,42047,0.688062447492890,50300,179787.714008700102568,373599.590315159410238,0.000000000000000,25.719953536987305
+-1,2757.717362983250041,82.851273424001235,42044,0.060286626692686,50301,179788.073331750929356,373598.912892960011959,0.000000000000000,24.080661773681641
+-1,2729.586617211068187,82.851273424008895,42056,0.048284927144829,50302,179787.917958732694387,373600.151723451912403,0.000000000000000,24.090000152587891
+-1,2709.503775930998927,82.851273423125491,42060,0.040041471327730,50303,179787.798062957823277,373601.107683673501015,0.000000000000000,24.096666336059570
+-1,2689.424107629391983,82.851273423546232,42055,0.050707837125269,50304,179787.676160018891096,373602.079647492617369,0.000000000000000,24.103332519531250
+-1,2689.415983152657191,83.325833374859968,6625,0.300350250115566,50305,179787.401433333754539,373604.403333336114883,0.000000000000000,24.103332519531250
+-1,4.950481570356997,79.730303737368601,6644,43.762725863756401,50306,179782.475666668266058,373616.610333338379860,0.000000000000000,28.382333755493164
+-1,509.128062600815440,91.238128741517400,18967,4.372886725074016,50307,179789.535499837249517,373578.691117413341999,0.000000000000000,27.178998947143555
+-1,3051.867089786023826,84.490408373421943,42038,0.055502923747596,50308,179789.334745131433010,373586.766570750623941,0.000000000000000,26.023332595825195
+-1,2968.036926427295384,84.490408372555393,42033,0.064125531749670,50309,179789.184398245066404,373589.021671842783689,0.000000000000000,24.010635375976562
+-1,2931.716596472858782,84.490408373112430,6618,0.189042976350933,50310,179788.976708851754665,373591.174825187772512,0.000000000000000,24.022758483886719
+-1,301.373545986048498,82.851273423827124,42051,0.874201724446233,50311,179787.856973197311163,373598.504988312721252,0.000000000000000,25.699493408203125
+-1,2780.548252957749810,82.851273423827124,6402,0.076593024144658,50312,179788.239886868745089,373597.584907725453377,0.000000000000000,24.073083877563477
+-1,2850.124971415489199,84.541609669028915,18969,0.160242646465641,50313,179788.888839475810528,373592.432951807975769,0.000000000000000,23.072757720947266
+-1,6.344487382975489,255.393273069311192,6657,9.201747824035563,50314,179791.273366674780846,373594.500500004738569,0.000000000000000,22.316667556762695
+-1,2787.993065861433024,82.887999500098886,42053,0.063894435961588,50315,179788.372227121144533,373596.797598369419575,0.000000000000000,23.138589859008789
+-1,2760.623948575610939,82.888358915264050,42048,0.063897179399110,50316,179788.202677827328444,373598.149466361850500,0.000000000000000,23.153747558593750
+-1,2739.083210721192245,82.888651965824607,18972,0.078733311833514,50317,179788.034352891147137,373599.491574563086033,0.000000000000000,23.170661926269531
+-1,9.418721029126827,93.650306250195456,6670,12.499249935245462,50318,179794.167066670954227,373599.167000003159046,0.000000000000000,22.293333053588867
+-1,2721.832459886293691,82.888887515309690,42058,0.056214834587138,50319,179787.882361277937889,373600.703452851623297,0.000000000000000,23.186666488647461
+-1,2707.528264368949294,82.889081795510862,18971,0.056216094976283,50320,179787.755889184772968,373601.711855825036764,0.000000000000000,23.200000762939453
+-1,10.492197508345331,82.338237801421428,6674,12.502249878581479,50321,179794.167233340442181,373604.167100004851818,0.000000000000000,22.273332595825195
+-1,2549.454978723011664,83.378222819134564,6631,0.300350243482500,50322,179787.201866671442986,373606.395666673779488,0.000000000000000,23.253334045410156
+-1,3.193505799335189,100.045449884719659,6399,8.118690093485483,50323,179788.722702525556087,373610.658981040120125,0.000000000000000,22.408552169799805
+-1,8.802974418926558,91.295952576698909,6681,12.498500092547607,50324,179795.833933338522911,373605.833933334797621,0.000000000000000,22.103332519531250
+-1,6.873798396049458,98.359705935082843,6729,12.498500146171519,50325,179794.167333334684372,373614.167166672646999,0.000000000000000,22.203332901000977
+-1,5.613570171009567,265.907151656096289,6680,12.502499992126666,50326,179800.833900000900030,373609.167166672646999,0.000000000000000,22.153333663940430
+-1,7.045764239769949,96.518752368806446,6690,12.499500025849654,50327,179795.833800002932549,373615.833933338522911,0.000000000000000,22.103332519531250
+-1,8.199926688088292,282.685734256462808,6686,12.500750063383849,50328,179804.167266674339771,373614.167266666889191,0.000000000000000,22.363332748413086
+-1,3.847007525577625,242.092760547442225,6702,12.499749880079857,50329,179800.833900000900030,373619.167233336716890,0.000000000000000,22.143333435058594
\ No newline at end of file
diff --git a/tests/test_data/cases/case_20_only_elevation/fm2prof_config.ini b/tests/test_data/cases/case_20_only_elevation/fm2prof_config.ini
new file mode 100644
index 00000000..aa604623
--- /dev/null
+++ b/tests/test_data/cases/case_20_only_elevation/fm2prof_config.ini
@@ -0,0 +1,33 @@
+[input]
+2DMapOutput                   = data/mlnbk_triangles.csv
+CrossSectionLocationFile      = model/CrossSectionLocations.ini # .csv or .txt file (, as delimiter) that contains four columns: X_coordinate,Y_coordinate,BranchName,Length,Chainage.
+RegionPolygonFile             =          # User defined polygons in json format
+SectionPolygonFile            =            # User defined polygons in json format
+
+[parameters]
+CaseName                      =           # Subdirectory name under OutputDir (no space); if not specified, 'CaseXX' (01, 02..) are used
+MaximumPointsInProfile        = 20        # Number of points which are used to generate cross-sections
+ConveyanceDetectionMethod     = 1         # [0] method based on mean flow velocity, [1] method based on maximum flow velocity (default)
+AbsoluteVelocityThreshold     = 0.01      # Absolute velocity threshold in m/s. Used to determine storage
+RelativeVelocityThreshold     = 0.03      # Relative velocity threshold (percentage). Used to determine storage
+MinimumDepthThreshold         = 0.02      # Minimum depth (m) for storage identification
+BedlevelCriterium             = 0.05      # Ignore the lowest percentage of bed level points
+LakeTimesteps                 = 10        # Number of timesteps that are used for identifying lakes
+ExtrapolateStorage            = True      # Add storage to water level independent cross-section section
+SDCorrection                  = True      # Use summerdike volume correction
+SDFloodplainBase              = 0.5       # minimum distance between floodplain base level and crest level in meters
+SDTransitionHeight            = 0.5       # Transition height at the summer dike (m)
+SDOptimisationMethod          = 0         # [0] Optimise on Total volume, [1] optimise  on flow volume, [2] optimise on both
+FrictionWeighingMethod        = 0         # Options. [0] arithmetric mean, [1] Weighted average
+SkipMaps                      = 1         # number of timesteps to skip at begin of 2D output. Use to skip problems related to initial conditions.
+MinimumTotalWidth             = 0.5       # Minimum width in meters. Zero width may lead to numerical instability in 1D solvers
+DefaultSection                = floodplain1# Default section name to use in cells not covered by a section polygon. Value options: floodplain1, floodplain2 or main
+DefaultRegion                 = undefined # Default region name to use in cells not covered by a region polygon.
+
+[debug]
+ExportCSSData                 = False     # If True, exports pickled (1) input data for cross-section object, (2) flow mask for conveyance/storage.
+ExportMapFiles                = True      # Export detailed map output. Only use for small models or limited number of cross-sections b/c output can be huge.
+CssSelection                  =  # provide comma separated list of ints; e.g. 38, 39, 40. Leave empty to generate all cross-sections
+
+[output]
+OutputDirectory               = output    # Output files are saved in OutputDir/CaseName; if not specified, subdirectory is created in the current directory
diff --git a/tests/test_data/cases/case_20_only_elevation/model/CrossSectionLocations.ini b/tests/test_data/cases/case_20_only_elevation/model/CrossSectionLocations.ini
new file mode 100644
index 00000000..bbce70f8
--- /dev/null
+++ b/tests/test_data/cases/case_20_only_elevation/model/CrossSectionLocations.ini
@@ -0,0 +1,11 @@
+name,x,y,length,branch,offset
+channel1_0.000, 180044.9596, 371398.4198, 248.14, Channel1, 0.00
+channel1_496.286, 179989.7650, 371890.6210, 496.29, Channel1, 496.29
+channel1_992.572, 179934.4590, 372383.8160, 496.29, Channel1, 992.57
+channel1_1488.858, 179879.2650, 372877.0230, 496.29, Channel1, 1488.86
+channel1_1985.144, 179825.2200, 373370.3580, 496.29, Channel1, 1985.14
+channel1_2481.430, 179771.1760, 373863.6920, 496.29, Channel1, 2481.43
+channel1_2977.717, 179717.1310, 374357.0270, 496.29, Channel1, 2977.72
+channel1_3474.003, 179663.0860, 374850.3620, 496.29, Channel1, 3474.00
+channel1_3970.289, 179609.0420, 375343.6960, 496.29, Channel1, 3970.29
+channel1_4466.575, 179555.1059, 375836.0369, 248.14, Channel1, 4466.57
diff --git a/tests/test_data/cases/case_20_only_elevation/model/NetworkDefinition.ini b/tests/test_data/cases/case_20_only_elevation/model/NetworkDefinition.ini
new file mode 100644
index 00000000..b35df2fd
--- /dev/null
+++ b/tests/test_data/cases/case_20_only_elevation/model/NetworkDefinition.ini
@@ -0,0 +1,27 @@
+[General]
+    majorVersion          = 1                   
+    minorVersion          = 0                   
+    fileType              = network             
+
+[Node]
+    id                    = Node001             
+    x                     = 180045.071          
+    y                     = 371397.426          
+
+[Node]
+    id                    = Node002             
+    x                     = 179554.997          
+    y                     = 375837.031          
+
+[Branch]
+    id                    = Channel1            
+    fromNode              = Node001             
+    toNode                = Node002             
+    order                 = -1                  
+    geometry              = LINESTRING (180045.07081667328 371397.4262342396 0, 179884.04231576496 372833.41579094477 0, 179554.99696091074 375837.03098514932 0)
+    gridPointsCount       = 10                  
+    gridPointX            = 180045.071 179989.765 179934.459 179879.265 179825.220 179771.176 179717.131 179663.086 179609.042 179554.997
+    gridPointY            = 371397.426 371890.621 372383.816 372877.023 373370.358 373863.692 374357.027 374850.362 375343.696 375837.031
+    gridPointOffsets      = 0.000 496.286 992.572 1488.858 1985.144 2481.430 2977.717 3474.003 3970.289 4466.575
+    gridPointIds          = Channel1_0.000;Channel1_496.286;Channel1_992.572;Channel1_1488.858;Channel1_1985.144;Channel1_2481.430;Channel1_2977.717;Channel1_3474.003;Channel1_3970.289;Channel1_4466.575
+
diff --git a/tests/test_data/cross_sections/ketelmeer02_0.000.pickle b/tests/test_data/cross_sections/ketelmeer02_0.000.pickle
index b4534b42..df293fa6 100644
Binary files a/tests/test_data/cross_sections/ketelmeer02_0.000.pickle and b/tests/test_data/cross_sections/ketelmeer02_0.000.pickle differ
diff --git a/tests/test_data/cross_sections/nederrijn_20011.855.pickle b/tests/test_data/cross_sections/nederrijn_20011.855.pickle
index 2619edf7..8f2bcdbe 100644
Binary files a/tests/test_data/cross_sections/nederrijn_20011.855.pickle and b/tests/test_data/cross_sections/nederrijn_20011.855.pickle differ
diff --git a/tests/test_data/cross_sections/reevediep_2888.800.pickle b/tests/test_data/cross_sections/reevediep_2888.800.pickle
index 2230073c..38d94adf 100644
Binary files a/tests/test_data/cross_sections/reevediep_2888.800.pickle and b/tests/test_data/cross_sections/reevediep_2888.800.pickle differ
diff --git a/tests/test_data/cross_sections/twentekanaal_941.714.pickle b/tests/test_data/cross_sections/twentekanaal_941.714.pickle
index d08f34a4..c7611f35 100644
Binary files a/tests/test_data/cross_sections/twentekanaal_941.714.pickle and b/tests/test_data/cross_sections/twentekanaal_941.714.pickle differ
diff --git a/tests/test_data/cross_sections/veessenwapenveld_3519.948.pickle b/tests/test_data/cross_sections/veessenwapenveld_3519.948.pickle
index c3a18ed0..3ff298e4 100644
Binary files a/tests/test_data/cross_sections/veessenwapenveld_3519.948.pickle and b/tests/test_data/cross_sections/veessenwapenveld_3519.948.pickle differ
diff --git a/tests/test_data/cross_sections/waal_1_40147.826.pickle b/tests/test_data/cross_sections/waal_1_40147.826.pickle
index 85e213d7..9315dbee 100644
Binary files a/tests/test_data/cross_sections/waal_1_40147.826.pickle and b/tests/test_data/cross_sections/waal_1_40147.826.pickle differ
diff --git a/tests/test_data_import.py b/tests/test_data_import.py
index 14e58a33..6b945f9d 100644
--- a/tests/test_data_import.py
+++ b/tests/test_data_import.py
@@ -1,13 +1,18 @@
 from pathlib import Path
 
 import numpy as np
+import pandas as pd
 import pytest
 
-from fm2prof.data_import import FMDataImporter, FmModelData
+from fm2prof.imports import ImporterFactory, ModelData
+from fm2prof.imports.base import CrossSectionData, FaceGeometry
+from fm2prof.imports.csv_elevation import CsvElevationImporter
+from fm2prof.imports.dflowfm import DFlowFMImporter
+from fm2prof.imports.factory import detect_source
 from tests.TestUtils import TestUtils, skipwhenexternalsmissing
 
 
-class Test_FMDataImporter:
+class TestFMDataImporter:
     @skipwhenexternalsmissing
     def test_when_map_file_without_czu_no_exception(self):
         # 1. Set up test data
@@ -15,7 +20,8 @@ def test_when_map_file_without_czu_no_exception(self):
         assert test_map.is_file()
 
         # 2. Set initial expectations
-        return_value = FMDataImporter().import_dflow2d(test_map)
+        importer = DFlowFMImporter(test_map)
+        return_value = importer.import_data()
 
         # 3. Verify final expectations
         assert return_value is not None
@@ -23,7 +29,7 @@ def test_when_map_file_without_czu_no_exception(self):
     def test_initialisation_with_map_file(self):
         test_file = TestUtils.get_local_test_file("cases/case_02_compound/Data/2DModelOutput/FlowFM_map.nc")
 
-        fmdata = FMDataImporter(test_file)
+        fmdata = DFlowFMImporter(test_file)
 
         assert fmdata is not None
         assert fmdata.file_path == test_file
@@ -31,7 +37,7 @@ def test_initialisation_with_map_file(self):
     def test_get_variable(self):
         test_file = TestUtils.get_local_test_file("cases/case_02_compound/Data/2DModelOutput/FlowFM_map.nc")
 
-        fmdata = FMDataImporter(test_file)
+        fmdata = DFlowFMImporter(test_file)
 
         var_data = fmdata.get_variable("mesh2d_face_x")
 
@@ -41,100 +47,150 @@ def test_get_variable(self):
         assert var_data[0] == 25.0
         assert var_data[-1] == 2975.0
 
-class Test_FmModelData:
-    def test_when_given_expected_arguments_then_object_is_created(self):
-        # 1. Set up test data
-        time_dependent_data = "arg1"
-        time_independent_data = "arg2"
-        edge_data = "arg3"
-        node_coordinates = "arg4"
-        css_data = "arg5"
-        return_fm_model_data = None
-
-        # 2. Run test
-        return_fm_model_data = FmModelData(
-            time_dependent_data=time_dependent_data,
-            time_independent_data=time_independent_data,
-            edge_data=edge_data,
-            node_coordinates=node_coordinates,
-            css_data_dictionary=css_data,
+class TestFmModelData:
+    def _make_geometry(self, n: int = 3) -> FaceGeometry:
+        return FaceGeometry(
+            x=np.zeros(n), y=np.zeros(n), area=np.ones(n), bedlevel=np.zeros(n),
+            section=np.array(["main"] * n, dtype="U99"),
+            region=np.array([""] * n, dtype="U99"),
+            sclass=np.array([""] * n, dtype="U99"),
+            islake=np.zeros(n, dtype=bool),
         )
 
-        # 4. Verify final expectations
-        assert return_fm_model_data is not None
-        assert return_fm_model_data.time_dependent_data == time_dependent_data
-        assert return_fm_model_data.time_independent_data == time_independent_data
-        assert return_fm_model_data.edge_data == edge_data
-        assert return_fm_model_data.node_coordinates == node_coordinates
-        assert return_fm_model_data.css_data_list == []
-
-    def test_when_given_data_dictionary_then_css_data_list_is_set(self):
+    def test_when_given_expected_arguments_then_object_is_created(self):
         # 1. Set up test data
-        time_dependent_data = "arg1"
-        time_independent_data = "arg2"
-        edge_data = "arg3"
-        node_coordinates = "arg4"
-        dummy_key = "dummyKey"
-        dummy_values = [0, 1]
-        css_data_dict = {
-            dummy_key: dummy_values,
-        }
-
-        return_fm_model_data = None
-
-        # 2. Set expectations
-        expected_css_data_list = [{dummy_key: 0}, {dummy_key: 1}]
-
-        #  3. Run test
-        return_fm_model_data = FmModelData(
-            time_dependent_data=time_dependent_data,
-            time_independent_data=time_independent_data,
-            edge_data=edge_data,
-            node_coordinates=node_coordinates,
-            css_data_dictionary=css_data_dict,
-        )
-
-        # 4. Verify final expectations
-        assert return_fm_model_data is not None
-        assert return_fm_model_data.css_data_list != css_data_dict
-        assert return_fm_model_data.css_data_list == expected_css_data_list
-
-
-class Test_get_ordered_css_list:
-    def test_when_given_dictionary_then_returns_list(self):
-        # 1. Set up test_data
-        return_list = None
-        dummy_key = "dummyKey"
-        dummy_values = [0, 1]
-        test_dict = {
-            dummy_key: dummy_values,
-        }
+        geometry = self._make_geometry()
+        cross_sections = []
 
         # 2. Run test
-        expected_list = [{dummy_key: 0}, {dummy_key: 1}]
-
-        # 3. Run test
-        return_list = FmModelData.get_ordered_css_list(test_dict)
-
-        # 4. Verify final expectations
-        assert return_list is not None
-        assert return_list == expected_list, (
-            "" + "Expected return value {},".format(expected_list) + " but return {} instead.".format(return_list)
+        return_model_data = ModelData(
+            geometry=geometry,
+            cross_sections=cross_sections,
+            source="dflowfm",
         )
 
-    @pytest.mark.parametrize("test_dict", [(""), (None), ({})])
-    def test_when_given_unexpected_value_then_returns_empty_list(self, test_dict):
-        # 1. Set up test_data
-        return_list = None
+        # 3. Verify final expectations
+        assert return_model_data is not None
+        assert return_model_data.geometry is geometry
+        assert return_model_data.cross_sections == []
+        assert return_model_data.source == "dflowfm"
+        assert return_model_data.edges is None
+        assert return_model_data.hydraulics is None
+
+    def test_when_given_cross_sections_then_cross_sections_are_set(self):
+        # 1. Set up test data
+        css = CrossSectionData(name="css_001", length=100.0, location=(1.0, 2.0), branch_id="branch_a", offset=50.0)
 
         # 2. Run test
-        expected_list = []
+        model_data = ModelData(geometry=self._make_geometry(), cross_sections=[css], source="dflowfm")
 
-        # 3. Run test
-        return_list = FmModelData.get_ordered_css_list(test_dict)
-
-        # 4. Verify final expectations
-        assert return_list is not None
-        assert return_list == expected_list, (
-            "" + "Expected return value {},".format(expected_list) + " but return {} instead.".format(return_list)
-        )
+        # 3. Verify
+        assert len(model_data.cross_sections) == 1
+        assert model_data.cross_sections[0].name == "css_001"
+
+    def test_has_edges_false_when_not_provided(self):
+        model_data = ModelData(geometry=self._make_geometry(), cross_sections=[], source="dflowfm")
+        assert model_data.has_edges is False
+
+    def test_has_hydraulics_false_when_not_provided(self):
+        model_data = ModelData(geometry=self._make_geometry(), cross_sections=[], source="dflowfm")
+        assert model_data.has_hydraulics is False
+
+
+class TestCsvElevationImporter:
+
+    CSV_FILE = "cases/case_20_only_elevation/data/mlnbk_triangles.csv"
+
+    @pytest.fixture
+    def csv_file(self):
+        return TestUtils.get_local_test_file(self.CSV_FILE)
+
+    @pytest.fixture
+    def model_data(self, csv_file) -> ModelData:
+        return CsvElevationImporter(csv_file).import_data()
+
+    def test_factory_creates_csv_elevation_importer(self, csv_file):
+        """ImporterFactory should resolve 'csv_elevation' to CsvElevationImporter."""
+        importer = ImporterFactory.create("csv_elevation", csv_file)
+        assert isinstance(importer, CsvElevationImporter)
+
+    def test_model_data_is_returned(self, model_data):
+        """Import_data should return a ModelData instance."""
+        assert isinstance(model_data, ModelData)
+
+    def test_source_is_csv_elevation(self, model_data):
+        """Source identifier should be 'csv_elevation'."""
+        assert model_data.source == CsvElevationImporter.SOURCE
+
+    def test_face_geometry_is_populated(self, model_data):
+        """Geometry should contain face data with positive length."""
+        assert model_data.geometry is not None
+        assert len(model_data.geometry.x) > 0
+
+    def test_face_geometry_x_y_are_finite_floats(self, model_data):
+        """Coordinates x and y should be finite float arrays."""
+        assert model_data.geometry.x.dtype == float
+        assert model_data.geometry.y.dtype == float
+        assert np.all(np.isfinite(model_data.geometry.x))
+        assert np.all(np.isfinite(model_data.geometry.y))
+
+    def test_face_geometry_bedlevel_is_populated(self, model_data):
+        """Field bedlevel should be a float array of the same length as x."""
+        assert len(model_data.geometry.bedlevel) == len(model_data.geometry.x)
+
+    def test_face_geometry_area_is_populated(self, model_data):
+        """Field area should be a float array of the same length as x."""
+        assert len(model_data.geometry.area) == len(model_data.geometry.x)
+
+    def test_no_edge_data(self, model_data):
+        """Edge geometry should not be present for a CSV elevation source."""
+        assert model_data.edges is None
+        assert not model_data.has_edges
+
+    def test_no_hydraulic_data(self, model_data):
+        """Hydraulic data should not be present for a CSV elevation source."""
+        assert model_data.hydraulics is None
+        assert not model_data.has_hydraulics
+
+    def test_missing_column_raises_value_error(self, tmp_path):
+        """A CSV without required columns should raise ValueError."""
+        bad_csv = tmp_path / "bad.csv"
+        pd.DataFrame({"POINT_X": [1.0], "POINT_Y": [2.0]}).to_csv(bad_csv, index=False)
+
+        importer = CsvElevationImporter(bad_csv)
+        with pytest.raises(ValueError, match="missing required columns"):
+            importer.import_data()
+
+
+class TestDetectSource:
+
+    def test_nc_file_detected_as_dflowfm(self, tmp_path):
+        """A .nc file should be detected as 'dflowfm'."""
+        nc_file = tmp_path / "FlowFM_map.nc"
+        nc_file.touch()
+        assert detect_source(nc_file) == "dflowfm"
+
+    def test_csv_file_detected_as_csv_elevation(self, tmp_path):
+        """A .csv file should be detected as 'csv_elevation'."""
+        csv_file = tmp_path / "elevation.csv"
+        csv_file.touch()
+        assert detect_source(csv_file) == "csv_elevation"
+
+    def test_extension_matching_is_case_insensitive(self, tmp_path):
+        """Extension matching should be case-insensitive."""
+        nc_file = tmp_path / "FlowFM_map.NC"
+        nc_file.touch()
+        assert detect_source(nc_file) == "dflowfm"
+
+    def test_unsupported_extension_raises_value_error(self, tmp_path):
+        """An unrecognised extension should raise ValueError."""
+        unknown_file = tmp_path / "model.xyz"
+        unknown_file.touch()
+        with pytest.raises(ValueError, match="Cannot infer source"):
+            detect_source(unknown_file)
+
+    def test_accepts_string_path(self, tmp_path):
+        """detect_source should accept a plain string path."""
+        nc_file = tmp_path / "map.nc"
+        nc_file.touch()
+        assert detect_source(str(nc_file)) == "dflowfm"
diff --git a/tests/test_data_preprocessing.py b/tests/test_data_preprocessing.py
new file mode 100644
index 00000000..843ea83c
--- /dev/null
+++ b/tests/test_data_preprocessing.py
@@ -0,0 +1,120 @@
+import numpy as np
+import pytest
+
+from fm2prof.data_preprocessing import build_model_data
+from fm2prof.ini_file import InputFiles
+from tests.TestUtils import TestUtils
+
+
+class TestClassification:
+
+    @pytest.fixture(autouse=True)
+    def clear_polygon_caches(self):
+        """Delete any cached region/section classification files before each test.
+
+        Cache files are placed next to the map file and have the pattern
+        ``<mapfile>.region_cache.json`` and ``<mapfile>.section_cache.json``.
+        Removing them ensures each test run performs a fresh classification.
+        """
+        cache_dir = TestUtils.get_local_test_file("cases/case_02_compound/Data/2DModelOutput")
+        for cache_file in cache_dir.glob("*_cache.json"):
+            cache_file.unlink(missing_ok=True)
+
+    def test_region_polygon_assigns_all_faces_to_poly1(self):
+        """All 2D faces should be assigned to region 'poly1' for case_02_compound_with_region."""
+        # 1. Set up input paths from the case config
+        case_dir = TestUtils.get_local_test_file("cases/case_02_compound/Data")
+        input_files = InputFiles(
+            map_file=case_dir / "2DModelOutput" / "FlowFM_map.nc",
+            css_file=case_dir / "cross_section_locations.xyz",
+            region_file=case_dir / "region_polygon.geojson",
+            section_file=None,
+        )
+
+        # 2. Build model data
+        model_data = build_model_data(input_files)
+
+        # 3. Verify all faces are assigned to region 'poly1'
+        assert model_data.geometry.region is not None
+        assert len(model_data.geometry.region) > 0
+        assert np.all(model_data.geometry.region == "poly1"), (
+            f"Expected all faces to have region 'poly1', "
+            f"but found: {np.unique(model_data.geometry.region)}"
+        )
+
+
+# Mirror the acceptance test cases as raw path dicts so that TestUtils can
+# resolve them at test-run time rather than at import time.
+_PREPROCESSING_CASES = [
+    pytest.param(
+        {
+            "map_file":    "cases/case_02_compound/Data/2DModelOutput/FlowFM_map.nc",
+            "css_file":    "cases/case_02_compound/Data/cross_section_locations.xyz",
+            "region_file": None,
+            "section_file": None,
+        },
+        id="case_02_compound",
+    ),
+    pytest.param(
+        {
+            "map_file":    "cases/case_02_compound/Data/2DModelOutput/FlowFM_map.nc",
+            "css_file":    "cases/case_02_compound/Data/cross_section_locations.xyz",
+            "region_file": "cases/case_02_compound/Data/region_polygon.geojson",
+            "section_file": None,
+        },
+        id="case_02_compound_with_region",
+    ),
+    pytest.param(
+        {
+            "map_file":    "cases/case_02_compound/Data/2DModelOutput/FlowFM_map.nc",
+            "css_file":    "cases/case_02_compound/Data/cross_section_locations.xyz",
+            "region_file": "cases/case_02_compound/Data/region_polygon.geojson",
+            "section_file": "cases/case_02_compound/Data/section_polygon.geojson",
+        },
+        id="case_02_compound_with_region_and_section",
+    ),
+    pytest.param(
+        {
+            "map_file":    "cases/case_20_only_elevation/data/mlnbk_triangles.csv",
+            "css_file":    "cases/case_20_only_elevation/model/CrossSectionLocations.ini",
+            "region_file": None,
+            "section_file": None,
+        },
+        id="case_20_elevation_only",
+        #marks=[pytest.mark.xfail(reason="CSV elevation source not yet fully supported in build_model_data")],
+    ),
+]
+
+
+class TestBuildModelData:
+
+    @pytest.fixture(autouse=True)
+    def clear_polygon_caches(self):
+        """Delete cached region/section files before each test."""
+        cache_dir = TestUtils.get_local_test_file("cases/case_02_compound/Data/2DModelOutput")
+        for cache_file in cache_dir.glob("*_cache.json"):
+            cache_file.unlink(missing_ok=True)
+
+    @pytest.mark.parametrize("case", _PREPROCESSING_CASES)
+    def test_returns_model_data_instance(self, case):
+        """build_model_data should return a ModelData instance for every supported case."""
+        from fm2prof.imports.base import ModelData
+
+        input_files = InputFiles(
+            map_file=TestUtils.get_local_test_file(case["map_file"]),
+            css_file=TestUtils.get_local_test_file(case["css_file"]),
+            region_file=(
+                TestUtils.get_local_test_file(case["region_file"])
+                if case["region_file"] else None
+            ),
+            section_file=(
+                TestUtils.get_local_test_file(case["section_file"])
+                if case["section_file"] else None
+            ),
+        )
+
+        result = build_model_data(input_files)
+
+        assert isinstance(result, ModelData)
+        assert result.geometry is not None
+        assert len(result.geometry.x) > 0
diff --git a/uv.lock b/uv.lock
index 0f9fcf0e..7c7eadef 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,30 +2,41 @@ version = 1
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 requires-python = ">=3.11, <3.13"
 resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version < '3.12'",
+    "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "(python_full_version >= '3.12' and platform_machine != 'ARM64') or (python_full_version >= '3.12' and sys_platform != 'win32')",
+    "(python_full_version < '3.12' and platform_machine != 'ARM64') or (python_full_version < '3.12' and sys_platform != 'win32')",
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+version = "4.14.2"
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-    { name = "sniffio" },
+    { name = "typing-extensions" },
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+    { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
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