earth, energy & environment: 28 curated resources
earth, energy & environment
28 resources · page 1 of 1
AgML
by AgML
AgML GitHub repo: framework standardising agricultural machine learning datasets and models.
CropHarvest
by nasaharvest
CropHarvest GitHub repo: open remote-sensing dataset of global crop-type labels with benchmarks.
Earth Species Project
Earth Species Project: nonprofit using AI to decode animal communication, with bioacoustic models such as NatureLM-audio.
FarmVibes.AI
by Microsoft
Microsoft FarmVibes.AI GitHub repo: multimodal geospatial ML workflows for agriculture.
Grid2Op / L2RPN (RTE France)
by Grid2Op
Grid2Op GitHub repo from RTE France: testbed for sequential decision-making and reinforcement learning in power grid operation.
HOT fAIr
by Humanitarian OpenStreetMap Team
HOT fAIr GitHub repo: Humanitarian OpenStreetMap Team's AI-assisted mapping tool.
iNaturalist
by iNaturalist
iNaturalist: citizen-science platform where observations of plants and animals are identified with community and computer-vision help.
LILA BC
by LILA BC
LILA BC: repository of labelled biology and conservation datasets, such as camera-trap images, for machine learning.
MegaDetector
by Dan Morris
MegaDetector GitHub repo: model detecting animals, people and vehicles in camera-trap images for conservation.
PlantVillage (Penn State)
by PlantVillage (Penn State University)
PlantVillage site from Penn State: plant-disease image data and AI tools for smallholder farmers.
PowerGridworld
by National Laboratory of the Rockies
NREL PowerGridworld GitHub repo: lightweight framework for multi-agent RL simulation of power systems.
Project CETI
by Project CETI
Project CETI: nonprofit applying machine learning and robotics to decode sperm whale communication.
Sinergym
by UGR-SAIL
Sinergym GitHub repo: EnergyPlus-based Gym environment for building control with reinforcement learning.
TerraTorch
by TorchGeo
TerraTorch GitHub repo: toolkit for fine-tuning geospatial foundation models.
Wildlife Insights
Wildlife Insights: platform using machine learning to identify species in camera-trap images for conservation.
Zooniverse
by Zooniverse
Zooniverse: citizen-science platform whose volunteer labels support research projects and train ML models.
Earth Engine machine learning
by Google
Google Earth Engine guide to its built-in machine-learning APIs for classifying and regressing satellite data.
IBM Granite time-series cookbook
IBM Granite time-series cookbook GitHub repo: notebooks on forecasting, fine-tuning and evaluation with Granite time-series models.
NASA Harvest
by NASA Harvest
NASA Harvest consortium site: satellite data and machine learning for agriculture and food security monitoring.
PlantCV documentation
by Donald Danforth Plant Science Center (PlantCV)
PlantCV documentation: image analysis library for plant phenotyping with computer vision.
Wild Me documentation
by Wild Me (Conservation X Labs)
Wild Me documentation: computer-vision software that matches photos of individual animals for wildlife research.
CityLearn
by CityLearn (Intelligent Environments Lab, UT Austin)
CityLearn documentation: open-source Gymnasium environment for reinforcement learning in building energy and demand response.
Global Fishing Watch research
Global Fishing Watch research page: studies using machine learning and satellite data on ocean activity.
Grid2Op
Grid2Op documentation: Python framework for developing and testing control agents on simulated power grids.
Kornia
Kornia documentation: PyTorch library of differentiable computer-vision and image-processing operations.
Orfeo ToolBox Cookbook
Orfeo ToolBox Cookbook: CNES open-source remote-sensing library with image classification workflows.
Raster Vision
Raster Vision: open-source library for deep learning on satellite and aerial imagery.
TorchGeo documentation
TorchGeo documentation: PyTorch library of geospatial datasets, samplers, transforms and pretrained models.