Awesome-Earth-Artificial-Intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
https://github.com/ESIPFed/Awesome-Earth-Artificial-Intelligence

Last synced: about 23 hours ago
JSON representation

Books
Code
- Weather and Climate
  - EarthDial - Multi-spectral, multi-temporal vision-language model for EO dialogue across 44 downstream datasets
  - GeoChat - Grounded large vision-language model for remote sensing QA, captioning, and referring detection
  - TEOChat - Temporal vision-language assistant for change detection, damage assessment, and EO dialogue
- - Image Classification Neural Network Ranking with source code - paperswithcode has put together a list of cutting-edge papers and ranked them with the claimed accuracy.
  - Earth System Emulator (ESEm) - A tool for emulating geophysical datasets including (but not limited to) Earth System Models
  - EmissionAI - Microsoft AI for Earth Project: AI Monitoring Coal-fired Power Plant Emission from Space
  - BassNet - preprint](https://arxiv.org/abs/1612.00144) - Deep Learning for Land-cover Classification in Hyperspectral Images,
  - Landsat Time Series Analysis for Multi-Temporal Land Cover Classification
  - EarthEngine-Deep-Learning - Deep Learning on Google Earth Engine,
  - Object-based Classification on Earth Engine - Object-based land cover classification with Feature Extraction and Feature Selection for Google Earth Engine (GEE),
  - Earth Lens - Earth Lens, a Microsoft Garage project is an iOS iPad application that helps people and organizations quickly identify and classify objects in aerial imagery through the power of machine learning.
  - EQTransformer - An AI-Based Earthquake Signal Detector and Phase Picker.
  - Tropical Cyclone Windspeed Estimator - Winning solutions for Tropical Cyclone Wind Speed Prediction Competition
  - Infernis - Open-source ML-powered wildfire risk prediction engine for British Columbia. XGBoost + CNN trained on 10 fire seasons (2015-2024) from 21 open government and scientific data sources. Provides a free [REST API](https://infernis.ca/v1/docs) with daily predictions at 5km resolution.
Communities
- Weather and Climate
  - AI Alliance Climate & Sustainability Group - Community behind GEO-Bench-2 and open geospatial foundation model evaluation
  - TorchGeo Community - OSGeo community project for geospatial deep learning in PyTorch
- - ESIP Machine Learning Cluster
  - ESIP Agriculture and Climate Cluster
Competitions
- Weather and Climate
  - 2025 GeoAI Challenge: Cropland Mapping in Dry Environments - ITU/FAO challenge on distinguishing cropland from pasture in Fergana and Orenburg using time-series satellite imagery
- - GeoAI Challenge - aimed at providing solutions for collaboratively addressing real-world geospatial problems by applying artificial intelligence (AI)/machine learning (ML)
  - GPU Hackthons - designed to help scientists, researchers and developers to accelerate and optimize their applications on GPUs.
  - LANL Earthquake Prediction
  - HackerEarth
  - GeoAI Challenge - aimed at providing solutions for collaboratively addressing real-world geospatial problems by applying artificial intelligence (AI)/machine learning (ML)
Courses
- GeoSMART Machine Learning Curriculum
- ICESat-2 Hackweek
- ML Seminar: Physics-informed Machine learning for weather and climate science
- ML Seminar: Scalable Geospatial Analysis
- American Meterological Survey AI Webinar Series
- USGS Artificial Intelligence/Machine Learning Workshop
- Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School - 30, 2021.
- Artificial Intelligence for Earth System Science (AI4ESS) Summer School - hackathon-2020) [readinglist](https://www2.cisl.ucar.edu/sites/default/files/AI4ESS%20Webpage%20PDF%20Recommended%20Readings.pdf)
- Fundamentals of ML and DL in Python - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
- Stanford CS 229 ML Cheatsheets
- RadiantEarth ML4EO Bootcamp 2021
- Summer School on High-Performance and Disruptive Computing in Remote Sensing - Scaling Machine Learning for Remote Sensing using Cloud Computing
- USGS Artificial Intelligence/Machine Learning Workshop
- American Meterological Survey AI Webinar Series
- Introduction to Machine Learning for Earth Observation (EO College MOOC) - Free MOOC from TUM/DLR covering classification, object detection, change detection, SAR, and self-supervised learning for EO
- GeoAI with Python: A Practical Guide to Open-Source Geospatial AI - Open-access book with 23 chapters of executable code for segmentation, detection, change detection, and foundation models
- ICESat-2 Hackweek
Foundation Models
- Earth Observation
  - AlphaEarth Foundations - engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL) - Global 10 m embedding field layers (2017–2024) for sparse-label mapping; annual embeddings on Google Earth Engine and GCS
  - Clay - foundation.github.io/model/) [weights](https://huggingface.co/made-with-clay/Clay) - Sensor-agnostic MAE foundation model (v1.5) for EO embeddings across Sentinel-2, Landsat, Sentinel-1, and custom sensors; Apache 2.0
  - Copernicus-FM - Unified Copernicus foundation model across Sentinel missions with Copernicus-Pretrain and Copernicus-Bench
  - DOFA - Dynamic One-For-All multimodal foundation model with wavelength-conditioned hypernetworks for cross-sensor generalization
  - Prithvi-EO-2.0 - nasa-geospatial) [paper](https://arxiv.org/abs/2412.02732) - Multi-temporal ViT foundation model (300M/600M) trained on 4.2M global HLS time series at 30 m; fine-tune via [TerraTorch](#tools)
  - TerraMind - esa-geospatial) [paper](https://arxiv.org/abs/2504.11171) - Any-to-any generative multimodal EO foundation model (IBM/ESA Φ-lab); fine-tune via [TerraTorch](#tools)
- Weather and Climate
  - Aurora - 1.3B-parameter atmospheric foundation model for weather, air pollution, and ocean waves
  - FourCastNet 3 - Probabilistic spherical-convolution weather ensemble forecasting at 0.25°; training via [Makani](#tools)
  - GraphCast / GenCast - GNN-based medium-range global weather forecasting and diffusion ensemble forecasting; Apache 2.0
  - NeuralGCM - Differentiable hybrid general circulation model combining physics-based dynamics with learned components; Apache 2.0 code, CC BY-SA 4.0 weights
  - Prithvi-WxC - WxC) [paper](https://arxiv.org/abs/2409.13598) - 2.3B-parameter weather/climate foundation model on MERRA-2 for forecasting, downscaling, and parameterization
Papers
- Weather and Climate
  - Foundation Models for Remote Sensing and Earth Observation: A Survey - Taxonomy of visual, vision-language, and LLM-based RSFMs with benchmarking across public datasets
  - Towards practical artificial intelligence in Earth sciences
  - Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
  - Prithvi WxC: Foundation Model for Weather and Climate
  - TerraMind: Large-Scale Generative Multimodality for Earth Observation
  - TerraTorch: The Geospatial Foundation Models Toolkit
  - GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
  - Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities (DOFA)
  - GraphCast: Learning skillful medium-range global weather forecasting
  - GenCast: Diffusion-based ensemble forecasting for medium-range weather
  - Aurora: A Foundation Model of the Atmosphere
  - Neural General Circulation Models for Weather and Climate
  - TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
  - GeoChat: Grounded Large Vision-Language Model for Remote Sensing
  - EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues
  - Towards a Unified Copernicus Foundation Model for Earth Vision
  - Advances on Multimodal Remote Sensing Foundation Models for Earth Observation Downstream Tasks: A Survey - Open-access review of vision-X multimodal RSFMs
  - Ten Ways to Apply Machine Learning in Earth and Space Sciences
  - WeatherBench 2: A benchmark for the next generation of data-driven global weather models
  - ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
  - PCA-OS: A Planetary Climate Adaptation Operating System - Frames climate adaptation as a continual learning and decision loop over an intervention-aware global causal knowledge graph, fusing Earth-observation signals and operational traces into versioned, auditable adaptation interventions and robust decision portfolios.
  - Towards practical artificial intelligence in Earth sciences
  - Towards practical artificial intelligence in Earth sciences
RelatedAwesome
- Weather and Climate
  - awesome-weather-models - based weather forecasting models with open-source and open-weights status
  - awesome-WeatherAI
  - Awesome_AI4Earth - driven weather prediction
  - Awesome-AI-for-Atmosphere-and-Ocean
- - Awesome Machine Learning - ![Awesome](media/icon/awesome.png) A curated list of awesome Machine Learning frameworks, libraries and software
  - Awesome Satellite Imagery Datasets - ![Awesome](media/icon/awesome.png) List of aerial and satellite imagery datasets with annotations for computer vision and deep learning
  - Awesome-Open-Geoscience
  - Awesome-Spatial
  - Awesome Open Climate Science
  - Awesome Coastal
  - Awesome Workflow Engines - ![Awesome](media/icon/awesome.png) A curated list of awesome open source workflow engines
  - Awesome Pipeline - ![Awesome](media/icon/awesome.png) A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
Reports
- Workshop Report: Advancing Application of Machine Learning Tools for NASA’s Earth Observation Data
Thoughts

Programming Languages

Python 28 Jupyter Notebook 17 HTML 3 Scala 2 JavaScript 2 C# 1 Lua 1 Shell 1 MATLAB 1 C++ 1

Categories

Thoughts 121 Papers 108 Tools 33 Courses 17 Tutorials 15 Code 14 RelatedAwesome 12 Foundation Models 11 Books 8 Training Data 8 Competitions 6 Communities 4 Videos 1 Reports 1

Sub Categories

Weather and Climate 41 Earth Observation 6

Keywords

machine-learning 24 deep-learning 18 ml 11 python 11 ai 7 data-science 6 geospatial 5 tensorflow 5 computer-vision 5 pytorch 4 earth-observation 4 neural-network 4 mlops 3 workflow 3 remote-sensing 3 satellite-imagery 3 artificial-intelligence 3 keras 3 microsoft 2 weather 2 cheatsheet 2 stead 2 climate 2 deep-neural-networks 2 scala 2 apache-spark 2 awesome-list 2 jupyter-notebook 2 distributed 2 numpy 2 onnx 2 pipelines 2 land-cover 2 spark 2 embeddings 2 image-classification 2 llmops 2 geopython 2 jupyter 2 open-source 2 foundation-models 2 awesome 2 rl 1 javascript 1 google 1 prompt-engineering 1 openai 1 observability 1 model-management 1 mlflow 1