Computational geoscientist, researcher in geoinformatics and Earth observation.
This account hosts the source code accompanying my scientific publications: scripts, data and figures for reproducible processing, analysis and cartographic visualisation of geospatial data. Repositories are named by method and study area and are linked to the corresponding peer-reviewed articles.
- Satellite image processing and land-cover classification from Landsat OLI/TIRS time series
- Machine-learning classification for remote sensing (Random Forest, SVM, MLP/ANN, Decision and Extra Trees, gradient boosting)
- Marine geophysics, bathymetry and geomorphometry of ocean seafloor
- Cartographic scripting, terrain modelling, seismology and geohazard assessment
- Reproducible processing pipelines and cloud geoprocessing (Google Earth Engine, PySpark)
Python, R, Octave/MATLAB, Shell (bash, AWK). GMT and pyGMT, GRASS GIS, GDAL/PROJ, QGIS, scikit-learn, ObsPy, rasterio, terra, earthpy, ggplot2, seaborn, GEE, Apache Spark (PySpark).
- ORCID: https://orcid.org/0000-0002-5759-1089
- HAL (CV and publications): https://cv.hal.science/polina-lemenkova
- ResearchGate: https://www.researchgate.net/profile/Polina-Lemenkova-2
- Scopus: https://www.scopus.com/authid/detail.uri?authorId=55625974200
- Web of Science: https://www.webofscience.com/wos/author/record/R-8828-2018

