Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.

A collection of python code to download and preprocess satellite images for crop monitoring at field-level

This repo contains implementations of water classification methods to detect small proglacial streams in High Mountain Asia (HMA) using high-resolution PlanetScope imagery.

Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.

Image preprocessing and raster analysis for PlanetScope imagery from Planet Lab.

Master thesis in 2021 with University of Stuttgart and Planet Labs