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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.
lang: Jupyter Notebook
stars: 115
last activity:
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.
lang: TypeScript
stars: 45
last activity:
Gives you an easy way to access products from more than 10 earth observation providers, with more than 50 different product types (Sentinel 1, Sentinel 2, Sentinel 3, Landsat, etc.) that can be searched and downloaded.
lang: Python
stars: 435
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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: 241
last activity:
A platform to build useful communities that aim to tackle social and environmenta problems.
lang: TypeScript
stars: 1.4K
last activity:
Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.
lang: TypeScript
stars: 63
last activity:
Community list of transit APIs, apps, datasets, research, and software.
lang: Unknown
stars: 1.8K
last activity:
A domain ontology of the energy-system modeling context.
lang: Python
stars: 168
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: 65
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
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An R package for automatic download and preprocessing of MODIS Land Products Time-Series.
lang: R
stars: 162
last activity:
A family of tools for quantifying the values of natural capital in clear, credible, and practical ways.
lang: Python
stars: 255
last activity:
R tools to access open data from Eurostat, the statistical office of the European Union.
lang: R
stars: 256
last activity:
Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.
lang: Python
stars: 73
last activity:
Provides intuitive programming libraries to process a wide variety of earth observation datasets.
lang: Python
stars: 217
last activity: