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A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.
lang: Jupyter Notebook
stars: 162
last activity:
A neural network that forecasts precipitation up to 8 hours into the future at the high spatial resolution of 1 km² and at the temporal resolution of 2 minutes with a latency in the order of second.
lang: Python
stars: 304
last activity:
Enrichment pipeline for CUR / FOCUS reports which adds energy and carbon data allowing to report and reduce the impact of the your cloud usage.
lang: Java
stars: 31
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A citizen science project using mobile and static sensors to measure air quality with cell phones and low-cost technology.
lang: C++
stars: 128
last activity:
A real-time visualization of the CO2 emissions from electricity consumption.
lang: Python
stars: 4.0K
last activity:
Building an extensible, reproducible, test-driven, harmonised, open-source, versioned, ensemble model for air quality.
lang: R
stars: 9
last activity:
Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).
lang: Jupyter Notebook
stars: 483
last activity:
API to expose the BOAVIZTA reference data and methodologies to allow full life cycle / multi-criteria environmental impact assessments of software.
lang: Python
stars: 101
last activity:
Create and run land models in integrated or standalone modes.
lang: Julia
stars: 73
last activity:
A model for simplified evaluation of the approximate chemistry-climate impact of air traffic emissions.
lang: Python
stars: 17
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This code can be used to download solar forecasts and save them to a PostgreSQL database by retrieving solar generation estimates for embedded solar farms and preparing the data for analysis.
lang: Python
stars: 13
last activity:
Measures, tracks, and rewards the impact on gardens with a simple Progressive Web App.
lang: TypeScript
stars: 22
last activity:
We seek to embed sustainable practices into WordPress to ensure the longevity of the project.
lang: Unknown
stars: 20
last activity:
A machine learning-based Earth system models that is trained on a wide range of datasets, including reanalyses, forecast data and observations, to provide a robust and versatile model for the dynamics.
lang: Python
stars: 147
last activity:
An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
lang: HTML
stars: 187
last activity: