Stars
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs
Turn a STAC catalog into a dask-based xarray
A highly efficient implementation of Gaussian Processes in PyTorch
A curated link list related to the cryosphere and its subspheres
Methods to stack geospatial rasters and run memory-efficient computations.
Uncertainty extension for SciKit-GStat
User friendly Rasterio plugin to read raster datasets.
Tool to convert geopandas vector data into rasterized xarray data.
Measurement uncertainty handling in Python
Automated SfM processing of historical aerial photographs.
A clean book theme for scientific explanations and documentation with Sphinx
A clean, three-column Sphinx theme with Bootstrap for the PyData community
An extended commonmark compliant parser, with bridges to docutils/sphinx
Parse and execute ipynb files in Sphinx
A curated list of point cloud registration.
Server and client framework for on-demand science data processing in the cloud
A C++ & Python viewer for 3D data like meshes and point clouds
Interactive Data Visualization in the browser, from Python
Simple, concise geographical visualization in Python
SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)
Package to efficiently compute terrain parameters (like horizon, sky view factor, topographic openness, slope angle/aspect) from high-resolution digital elevation model (DEM) data. The package also…
High-level geospatial data visualization library for Python.
Analysis of georeferenced rasters, vectors and point clouds