ClimateTriage - Impactful open source contributions

Provides an overview of methods we can use to study agricultural development decisions and generate forecasts of decision outcomes.

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

Community list of transit APIs, apps, datasets, research, and software.

A community learning resource for Python-based computing in the geosciences.

Data Analysis and Visualization in Python for Ecologists.

A platform to build useful communities that aim to tackle social and environmenta problems.

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

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

A sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed taxonomies.

A wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science.

A modular open source multi-regional model incorporating the economy, the climate system and a detailed representation of the energy sector.

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.

The mission of Project Drawdown is to help the world reach "Drawdown"— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby stopping catastrophic climate change — as quickly, safely, and equitably as possible.

Receive and decode images from weather satellites via radio signals.

An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.