Awesome-Earth-Artificial-Intelligence

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 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

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
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 - 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 - Multi-temporal ViT foundation model (300M/600M) trained on 4.2M global HLS time series at 30 m; fine-tune via TerraTorch
TerraMind - esa-geospatial) paper - Any-to-any generative multimodal EO foundation model (IBM/ESA Φ-lab); fine-tune via TerraTorch

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
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 - 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 - A curated list of awesome Machine Learning frameworks, libraries and software
Awesome Satellite Imagery Datasets - 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 - A curated list of awesome open source workflow engines
Awesome Pipeline - 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

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

Awesome-Earth-Artificial-Intelligence

Books

Code

Weather and Climate

Communities

Weather and Climate

Competitions

Weather and Climate

Courses

Foundation Models

Earth Observation

Weather and Climate

Papers

Weather and Climate

RelatedAwesome

Weather and Climate

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