TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Open Data Cube analyses continental scale Earth Observation data through time

Satellite image time series in R

TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it …

Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Computing landscape metrics in the Python ecosystem

Jupyter Notebook examples for our Data Cube capable algorithms and functions

Repository for CEOS Analysis Ready Data (CEOS-ARD), including Product Family Specifications (PFSs)

Example notebooks of the PyLandStats library

Satellite product browser

Swiss Data Cube repository

Version 2 of the CEOS Interoperability Handbook

TopoChronia: A QGIS plugin for the creation of fully quantified palaeogeographic maps

Discovery and Access Broker (DAB)

Fusing data from the ESA Copernicus Programme's Sentinel missions.

Python tools for preprocessing geodata from the Swiss Federal Statistical Office