Modelling scenarios with geographic data.
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Updated
May 27, 2024 - Python
Modelling scenarios with geographic data.
Analysis of georeferenced rasters and vectors
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
An improved AHN3 gridded DTM/DSM done as university project for the MSc Geomatics @ TU Delft
Tile-based geodata processing using rasterio & Fiona
This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.
Tool to convert geopandas vector data into rasterized xarray data.
geospatial xarray extension powered by rasterio
ODEON is a task-agnostic framework for deep learning applied to remote sensing
A light-weight, versatile XYZ tile server, built with Flask and Rasterio 🌍
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Generate map templates for Farming Simulator from real places.
Airflow operator running python code in conda/mamba environments
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