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A sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed taxonomies.
lang: Python
stars: 30
last activity:
Download and process satellite imagery in Python using Sentinel Hub services.
lang: Python
stars: 858
last activity:
Search, download or stream NASA Earth science data with just a few lines of code.
lang: Python
stars: 508
last activity:
Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.
lang: TypeScript
stars: 52
last activity:
Holds a list of open source Python packages interesting to Hydrologists.
lang: Python
stars: 507
last activity:
R tools to access open data from Eurostat, the statistical office of the European Union.
lang: R
stars: 245
last activity:
Collect, normalize and integrate climate and ESG data from public and private sources.
lang: Unknown
stars: 22
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:
Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
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: 45
last activity:
A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 44
last activity:
A web / mobile Tycoon-style game teaching about electricity production and consumption.
lang: TypeScript
stars: 11
last activity:
A domain ontology of the energy-system modeling context.
lang: Python
stars: 124
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: 318
last activity:
A wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science.
lang: Jupyter Notebook
stars: 37
last activity: