ClimateTriage - Impactful open source contributions

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

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

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.

A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.

A family of tools for quantifying the values of natural capital in clear, credible, and practical ways.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

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

An R package for automatic download and preprocessing of MODIS Land Products Time-Series.

Data Analysis and Visualization in R for Ecologists.

Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.

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

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

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.

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