ClimateTriage - Impactful open source contributions

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

A directory and analysis of the open source ecosystem in the areas of climate change, energy, biodiversity and natural resources.

Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.

A Python package for discovering, loading, and analyzing U.S. Census demographic, economic, and geographic data and metadata with access to the full collection of data and maps the U.S. Census publishes via their APIs.

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

Data Analysis and Visualization in Python for Ecologists.

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

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

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.

Hyperspectral and Thermal Remote Sensing for Environmental Justice" program. Participants will gain hands-on experience with hyperspectral and thermal imaging remote sensing technology and its applications for environmental justice issues.

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

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

These tools help you to assess if a financial portfolio aligns with climate goals.

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.

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