ClimateTriage - Impactful open source contributions

This Cookbook is learning-oriented to support scientific researchers using NASA Earthdata from Distributed Active Archive Centers as they migrate their workflows to the cloud.

An R binding package for calling Google Earth Engine API from within R.

Fighting global poverty with the help of everyday people and your coding skills.

Provides intuitive programming libraries to process a wide variety of earth observation datasets.

Developed collaboratively and mostly reusing existing open-source components, VEDA consolidates GIS delivery mechanisms, processing platforms, analysis services, and visualization tools and provides an ecosystem of open tools for addressing Earth science research and application needs through the public-facing VEDA Dashboard.

A remote-sensing opensource Python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Explore how your values and personal interests are being affected by climate change and shows you attractive solutions exist that you may not be aware of.

Download and process satellite imagery in Python using Sentinel Hub services.

A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies.

R tools to access open data from Eurostat, the statistical office of the European Union.

A domain ontology of the energy-system modeling context.

A web / mobile Tycoon-style game teaching about electricity production and consumption.

A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

Provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain.

Provides an introduction to R for learners working with geospatial data.