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

Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.

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

Waste Detection and Change Analysis based on Multispectral Satellite Imagery

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

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

Master thesis in 2021 with University of Stuttgart and Planet Labs

Directory to hold the deliverables for the World Bank project.

mapping urban open spaces and land allocated to streets, using remote sensing, for aiding the calculation of SDG indicator 11.7.1.

As the population increases, demand for food increases too, which has led to large-scale land conversion to improve livestock production in Colombia. Fulfilling these criteria of increasing demand in a sustainable way is a challenge and remote sensing data provides an accurate method to support this task. In this study, Planet Scope multispectra…

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