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Search, download or stream NASA Earth science data with just a few lines of code.
lang: Python
stars: 518
last activity:
A domain ontology of the energy-system modeling context.
lang: Python
stars: 126
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: 37
last activity:
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
lang: Python
stars: 233
last activity:
A web / mobile Tycoon-style game teaching about electricity production and consumption.
lang: TypeScript
stars: 11
last activity:
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: 199
last activity:
A sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed taxonomies.
lang: Python
stars: 30
last activity:
An R binding package for calling Google Earth Engine API from within R.
lang: R
stars: 739
last activity:
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome.
lang: Unknown
stars: 1.6K
last activity:
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.
lang: Python
stars: 23
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: 317
last activity:
These tools help you to assess if a financial portfolio aligns with climate goals.
lang: R
stars: 12
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: 46
last activity:
Download and process satellite imagery in Python using Sentinel Hub services.
lang: Python
stars: 862
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: 1.1K
last activity: