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A directory and analysis of the open source ecosystem in the areas of climate change, energy, biodiversity and natural resources.
lang: Unknown
stars: 2.6K
last activity:
A family of tools for quantifying the values of natural capital in clear, credible, and practical ways.
lang: Python
stars: 258
last activity:
Fighting global poverty with the help of everyday people and your coding skills.
lang: TypeScript
stars: 162
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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.
lang: Python
stars: 245
last activity:
An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.
lang: Jupyter Notebook
stars: 203
last activity:
Search, download or stream NASA Earth science data with just a few lines of code.
lang: Python
stars: 646
last activity:
A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.
lang: Python
stars: 1.2K
last activity:
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome.
lang: Unknown
stars: 1.9K
last activity:
Data Analysis and Visualization in R for Ecologists.
lang: R
stars: 339
last activity:
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.
lang: Python
stars: 350
last activity:
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.
lang: Jupyter Notebook
stars: 66
last activity:
Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.
lang: TypeScript
stars: 64
last activity:
A domain ontology of the energy-system modeling context.
lang: Python
stars: 169
last activity:
Provides intuitive programming libraries to process a wide variety of earth observation datasets.
lang: Python
stars: 219
last activity:
An R package for automatic download and preprocessing of MODIS Land Products Time-Series.
lang: R
stars: 162
last activity: