Total Results Found: 22
MERRA-2
Modern-Era Retrospective Analysis for Research and Applications, Version 2 provides detailed climate data for research applications.
Date: 8/5/2023
View DatasetGPM
Global Precipitation Measurement offers high-resolution precipitation data from satellite observations.
Date: 7/25/2023
View DatasetECMWF ERA5
High-resolution global climate data from the European Centre for Medium-Range Weather Forecasts.
Date: 7/10/2023
View DatasetMODIS
Moderate Resolution Imaging Spectroradiometer provides satellite data for a wide range of Earth observations.
Date: 7/30/2023
View DatasetLandsat 8
Landsat 8 provides satellite imagery for environmental monitoring, land-use changes, and climate change research.
Date: 8/1/2023
View DatasetClimate Data Initiative
A U.S. government initiative offering various climate datasets for public access and research.
Date: 6/20/2023
View DatasetWorldClim
Global climate data offering high-resolution climatic variables for research and modeling.
Date: 6/15/2023
View DatasetNCEP CFSR
Climate Forecast System Reanalysis provides comprehensive historical climate data and forecasts.
Date: 6/1/2023
View DatasetCopernicus Climate Change Service (C3S)
Provides high-quality climate data and information services for Europe.
Date: 6/30/2023
View DatasetCMIP6
Coupled Model Intercomparison Project Phase 6 offers data for climate model evaluation and analysis.
Date: 5/20/2023
View DataseteBird
Provides data on bird sightings globally, useful for biodiversity monitoring and conservation efforts.
Date: 4/15/2023
View DatasetGlobal Forest Watch
Provides data and tools to monitor deforestation and forest changes worldwide.
Date: 3/10/2023
View DatasetAquaCrop
Tool for crop yield prediction and water use efficiency analysis based on climate data.
Date: 2/25/2023
View DatasetSoilGrids
Global soil information system that provides soil property data at high resolution.
Date: 1/20/2023
View DatasetUrban Observatory
Provides data for smart city development, including air quality, waste management, and other urban metrics.
Date: 5/15/2023
View DatasetCopernicus Emergency Management Service
Offers satellite-based data for disaster response and management, including flood and earthquake monitoring.
Date: 7/1/2023
View DatasetWorld Bank Open Data
Free and open access to global development data from the World Bank.
Date: 6/18/2023
View DatasetFAOSTAT
FAO’s database provides food and agricultural statistics for over 245 countries and territories.
Date: 5/15/2023
View DatasetUN Environment Programme Data
UNEP offers data on environmental sustainability, biodiversity, and resource management.
Date: 7/22/2023
View DatasetWHO Global Health Observatory
WHO’s GHO offers data on global health indicators, diseases, and public health initiatives.
Date: 4/12/2023
View DatasetAqueduct Water Risk Atlas
Provides comprehensive global water risk data to help inform water resource management.
Date: 5/28/2023
View DatasetSDG Indicators Global Database
Provides global data on indicators related to the UN’s Sustainable Development Goals.
Date: 8/10/2023
View DatasetTotal Results Found: 128
Aurora
A foundation model of the atmosphere, pre-trained on large-scale atmospheric data for various weather tasks.
Publication: Microsoft Research AI for Science
Year: 2024
Pangu-Weather
Accurate medium-range global weather forecasting with 3D neural networks, offering advanced prediction capabilities.
Publication: Nature
Year: 2023
ClimaX
Foundation model for weather and climate, utilizing large-scale data for improved weather and climate predictions.
Publication: ICML
Year: 2023
W-MAE
Pre-trained weather model with masked autoencoder designed for multi-variable weather forecasting.
Publication: arXiv
Year: 2023
FengWu
Advances skillful global medium-range weather forecasting, extending prediction capabilities beyond 10 days.
Publication: arXiv
Year: 2023
FuXi
Cascade machine learning forecasting system designed for accurate 15-day global weather forecasts.
Publication: arXiv
Year: 2023
OceanGPT
Large language model tailored for ocean science tasks, enhancing understanding of oceanographic phenomena.
Publication: arXiv
Year: 2023
GraphCast
Learning skillful medium-range global weather forecasting through a novel approach using deep learning techniques.
Publication: arXiv
Year: 2022
FourCastNet
Global high-resolution weather model using adaptive Fourier neural operators for improved accuracy.
Publication: arXiv
Year: 2022
SatMAE
Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery to enhance remote sensing analysis.
Publication: NeurIPS2022
Year:
DINO-MM
Self-supervised Vision Transformers designed for Joint SAR-optical Representation Learning in remote sensing.
Publication: IGARSS2022
Year:
GeCo
Geographical Supervision Correction enhances remote sensing representation learning through geographical context.
Publication: TGRS2022
Year:
RS-BYOL
Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images for remote sensing applications.
Publication: JSTARS2022
Year:
SeCo
Seasonal Contrast model for Unsupervised Pre-Training with Uncurated Remote Sensing Data to improve model robustness.
Publication: ICCV2021
Year:
GASSL
Geography-Aware Self-Supervised Learning enhances remote sensing representation with geographic context.
Publication: ICCV2021
Year:
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
Advanced self-supervised learning method for enhancing remote sensing scene representations using contrastive coding.
Publication: CVPRW2021
Year:
GeoKR
Geographical Knowledge-Driven Representation Learning for Remote Sensing Images leveraging geographic knowledge for enhanced learning.
Publication: TGRS2021
Year:
SolarNet
Deep learning model designed for predicting solar energy production from meteorological data.
Publication: IEEE Transactions on Sustainable Energy
Year: 2023
WindPredictor
Machine learning model for accurate wind energy forecasting using historical wind data.
Publication: Renewable Energy
Year: 2023
AgriVision
Computer vision model for monitoring crop health and predicting yields based on satellite imagery.
Publication: IEEE Transactions on Geoscience and Remote Sensing
Year: 2022
SoilNet
Predictive model for soil health and fertility using machine learning on soil property data.
Publication: Soil Science Society of America Journal
Year: 2022
AquaTrack
Model for tracking water quality and predicting contamination in aquatic environments using sensor data.
Publication: Water Research
Year: 2023
EcoNet
Environmental monitoring model using satellite data to track deforestation and habitat loss.
Publication: Environmental Research Letters
Year: 2023
SeCo
Seasonal Contrast- Unsupervised Pre-Training From Uncurated Remote Sensing Data.
Publication: ICCV2021
Year:
DINO-MM
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning.
Publication: IGARSS2022
Year: 2022
SatMAE
SatMAE- Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.
Publication: NeurIPS2022
Year: 2022
RS-BYOL
Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images.
Publication: JSTARS2022
Year: 2022
GeCo
Geographical Supervision Correction for Remote Sensing Representation Learning.
Publication: TGRS2022
Year: 2022
RingMo
RingMo- A remote sensing foundation model with masked image modeling.
Publication: TGRS2022
Year: 2022
RVSA
Advancing plain vision transformer toward remote sensing foundation model.
Publication: TGRS2022
Year: 2022
RSP
An Empirical Study of Remote Sensing Pretraining.
Publication: TGRS2022
Year: 2022
MATTER
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks.
Publication: CVPR2022
Year: 2022
CSPT
Consecutive Pre-Training- A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain.
Publication: RS2022
Year: 2022
SVTLSC
Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
Publication: CVPRW2022
Year: 2022
BFM
A billion-scale foundation model for remote sensing images.
Publication: Arxiv2023
Year: 2023
TOV
TOV- The original vision model for optical remote sensing image understanding via self-supervised learning.
Publication: JSTARS2023
Year: 2023
CMID
CMID- A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding.
Publication: TGRS2023
Year: 2023
RingMo-Sense
Remote Sensing Foundation Model for Spatiotemporal Prediction via Spatiotemporal Evolution Disentangling.
Publication: TGRS2023
Year: 2023
IaI-SimCL
Multi-Modal Multi-Objective Contrastive Learning for Sentinel-1/2 Imagery.
Publication: CVPRW2023
Year: 2023
CACo
Change-Aware Sampling and Contrastive Learning for Satellite Images.
Publication: CVPR2023
Year: 2023
SatLas
A Large-Scale Dataset for Remote Sensing Image Understanding.
Publication: ICCV2023
Year: 2022
GFM
Towards Geospatial Foundation Models via Continual Pretraining.
Publication: ICCV2023
Year: 2023
Scale-MAE
A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.
Publication: ICCV2023
Year: 2022
DINO-MC
Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops.
Publication: Arxiv2023
Year: 2023
CROMA
Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders.
Publication: NeurIPS2023
Year: 2023
Cross-Scale MAE
A Tale of Multiscale Exploitation in Remote Sensing.
Publication: NeurIPS2023
Year: 2023
DeCUR
Decoupling common & unique representations for multimodal self-supervision.
Publication: Arxiv2023
Year: 2023
Presto
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.
Publication: Arxiv2023
Year: 2023
CtxMIM
Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding.
Publication: Arxiv2023
Year: 2023
FG-MAE
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing.
Publication: Arxiv2023
Year: 2023
Prithvi
Foundation Models for Generalist Geospatial Artificial Intelligence.
Publication: Arxiv2023
Year: 2023
RingMo-lite
A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework.
Publication: Arxiv2023
Year: 2023
SCRSFMRC
A Self-Supervised Cross-Modal Remote Sensing Foundation Model with Multi-Domain Representation and Cross-Domain Fusion.
Publication: IGARSS2023
Year: 2023
EarthPT
A foundation model for Earth Observation.
Publication: NeurIPS2023 CCAI workshop
Year: 2023
USat
A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery.
Publication: Arxiv2023
Year: 2023
FoMo-Bench
A multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.
Publication: Arxiv2023
Year: 2023
AIEarth
Analytical Insight of Earth- A Cloud-Platform of Intelligent Computing for Geospatial Big Data.
Publication: Arxiv2023
Year: 2023
SAR-JEPA
Self-Supervised Learning for SAR ATR with a Knowledge-Guided Predictive Architecture.
Publication: Arxiv2023
Year: 2023
Clay
Clay Foundation Model.
Publication: Not Available
Year: 2023
Hydro
Hydro--A Foundation Model for Water in Satellite Imagery.
Publication: Not Available
Year: 2024
U-BARN
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series.
Publication: JSTARS2024
Year: 2024
GeRSP
Generic Knowledge Boosted Pre-training For Remote Sensing Images.
Publication: Arxiv2024
Year: 2024
SwiMDiff
Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image.
Publication: Arxiv2024
Year: 2024
OFA-Net
One for All- Toward Unified Foundation Models for Earth Vision.
Publication: Arxiv2024
Year: 2024
SMLFR
Generative ConvNet Foundation Model With Sparse Modeling and Low-Frequency Reconstruction for Remote Sensing Image Interpretation.
Publication: TGRS2024
Year: 2024
SpectralGPT
SpectralGPT- Spectral Foundation Model.
Publication: TPAMI2024
Year: 2024
S2MAE
S2MAE- A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data.
Publication: CVPR2024
Year: 2024
SatMAE++
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery.
Publication: CVPR2024
Year: 2024
msGFM
Bridging Remote Sensors with Multisensor Geospatial Foundation Models.
Publication: CVPR2024
Year: 2024
SkySense
A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.
Publication: CVPR2024
Year: 2024
MTP
Advancing Remote Sensing Foundation Model via Multi-Task Pretraining.
Publication: Arxiv2024
Year: 2024
DOFA
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.
Publication: Arxiv2024
Year: 2024
PIS
Pretrain A Remote Sensing Foundation Model by Promoting Intra-instance Similarity.
Publication: Not Available
Year: 2024
MMEarth
Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning.
Publication: Arxiv2024
Year: 2024
SARATR-X
A Foundation Model for Synthetic Aperture Radar Images Target Recognition.
Publication: Arxiv2024
Year: 2024
LeMeViT
Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.
Publication: IJCAI2024
Year: 2024
SoftCon
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
Publication: Arxiv2024
Year: 2024
RS-DFM
A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks.
Publication: Arxiv2024
Year: 2024
A2-MAE
A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder.
Publication: Arxiv2024
Year: 2024
HyperSIGMA
Hyperspectral Intelligence Comprehension Foundation Model.
Publication: Arxiv2024
Year: 2024
SelectiveMAE
Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset.
Publication: Arxiv2024
Year: 2024
OmniSat
Self-Supervised Modality Fusion for Earth Observation.
Publication: ECCV2024
Year: 2024
MM-VSF
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications.
Publication: Arxiv2024
Year: 2024
MA3E
Masked Angle-Aware Autoencoder for Remote Sensing Images.
Publication: ECCV2024
Year: 2024
SpectralEarth
Training Hyperspectral Foundation Models at Scale.
Publication: Arxiv2024
Year: 2024
RSGPT
A Remote Sensing Vision Language Model and Benchmark.
Publication: Arxiv2023
Year: 2023
RemoteCLIP
A Vision Language Foundation Model for Remote Sensing.
Publication: Arxiv2023
Year: 2023
GeoRSCLIP
RS5M- A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model.
Publication: Arxiv2023
Year: 2023
GRAFT
RS5M- Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.
Publication: ICLR2024
Year: 2024
CNT
Charting New Territories- Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs.
Publication: Arxiv2023
Year: 2023
RSC
Remote Sensing ChatGPT- Solving Remote Sensing Tasks with ChatGPT and Visual Models.
Publication: Arxiv2024
Year: 2024
SkyEyeGPT
Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.
Publication: Arxiv2024
Year: 2024
EarthGPT
A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain.
Publication: Arxiv2024
Year: 2024
SkyCLIP
SkyScript- A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing.
Publication: AAAI2024
Year: 2024
GeoChat
Grounded Large Vision-Language Model for Remote Sensing.
Publication: CVPR2024
Year: 2024
LHRS-Bot
Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.
Publication: Arxiv2024
Year: 2024
H2RSVLM
Towards Helpful and Honest Remote Sensing Large Vision Language Model.
Publication: Arxiv2024
Year: 2024
RS-LLaVA
Large Vision Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery.
Publication: RS2024
Year: 2024
SkySenseGPT
A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.
Publication: Arxiv2024
Year: 2024
Seg2Sat
Segmentation to aerial view using pretrained diffuser models.
Publication: Github
Year: 2023
GYOS
Satellite Image Generation Conditioned on Maps.
Publication: NeurIPSW2023
Year: 2023
GeoRSSD
RS5M- A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model.
Publication: Arxiv2023
Year: 2023
DiffusionSat
A Generative Foundation Model for Satellite Imagery.
Publication: ICLR2024
Year: 2024
CRS-Diff
Controllable Generative Remote Sensing Foundation Model.
Publication: Arxiv2024
Year: 2024
MetaEarth
A Generative Foundation Model for Global-Scale Remote Sensing Image Generation.
Publication: Arxiv2024
Year: 2024
CSP
Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.
Publication: ICML2023
Year: 2023
GeoCLIP
Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization.
Publication: NeurIPS2023
Year: 2023
SatCLIP
Global, General-Purpose Location Embeddings with Satellite Imagery.
Publication: Arxiv2023
Year: 2023
SARL
Self-supervised audiovisual representation learning for remote sensing data.
Publication: JAG2022
Year: 2022
SS-MAE
Spatial-Spectral Masked Auto-Encoder for Mulit-Source Remote Sensing Image Classification.
Publication: TGRS2023
Year: 2023
TTP
Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection.
Publication: Arxiv2023
Year: 2023
CSMAE
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing.
Publication: Arxiv2024
Year: 2024
RSPrompter
Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model.
Publication: TGRS2024
Year: 2024
BAN
A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection.
Publication: TGRS2024
Year: 2024
SAM
Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM).
Publication: Arxiv2024
Year: 2024
AnyChange
Segment Any Change.
Publication: Arxiv2024
Year: 2024
RS-CapRet
Large Language Models for Captioning and Retrieving Remote Sensing Images.
Publication: Arxiv2024
Year: 2024
TSP
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
Publication: Arxiv2024
Year: 2024
RSBuilding
Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model.
Publication: Arxiv2024
Year: 2024
SAM-Road
Segment Anything Model for Road Network Graph Extraction.
Publication: Arxiv2024
Year: 2024
GeoLLM-QA
Evaluating Tool-Augmented Agents in Remote Sensing Platforms.
Publication: ICLR 2024 ML4RS Workshop
Year: 2024
RS-Agent
Automating Remote Sensing Tasks through Intelligent Agents.
Publication: Arxiv2024
Year: 2024
RPRSMB
Revisiting pre-trained remote sensing model benchmarks- resizing and normalization matters.
Publication: Arxiv2023
Year: 2023
GEO-Bench
Toward Foundation Models for Earth Monitoring.
Publication: Arxiv2023
Year: 2023
FoMo-Bench
A multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.
Publication: Arxiv2023
Year: 2023
PhilEO
PhilEO Bench- Evaluating Geo-Spatial Foundation Models.
Publication: Arxiv2024
Year: 2024
SkySense
A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.
Publication: CVPR2024
Year: 2024
VLEO-Bench
Good at captioning, bad at counting- Benchmarking GPT-4V on Earth observation data.
Publication: Arxiv2024
Year: 2024
Total Results Found: 25
PCT-CycleGAN Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting
32nd ACM International Conference on Information and Knowledge Management
Year: 2023
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)
arXiv
Year: 2023
TemperatureGAN Generative Modeling of Regional Atmospheric Temperatures
arXiv
Year: 2023
A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction
Remote Sensing
Year: 2023
Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing
Year: 2023
Clgan A Generative Adversarial Network (GAN)-Based Video Prediction Model for Precipitation Nowcasting
Geoscientific Model Development
Year: 2023
MSTCGAN Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction
IEEE Transactions on Geoscience and Remote Sensing
Year: 2022
Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation
IEEE Transactions on Geoscience and Remote Sensing
Year: 2022
SPATE-GAN Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
AAAI
Year: 2022
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
Nature Machine Intelligence
Year: 2022
Experimental Study on Generative Adversarial Network for Precipitation Nowcasting
IEEE Transactions on Geoscience and Remote Sensing
Year: 2022
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
Journal of Advances in Modeling Earth Systems
Year: 2022
Producing Realistic Climate Data with Generative Adversarial Networks
Nonlinear Processes in Geophysics
Year: 2021
Skillful Precipitation Nowcasting Using Deep Generative Models of Radar
Nature
Year: 2021
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization
arXiv
Year: 2021
Algorithmic Hallucinations of Near-Surface Winds Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales
Artificial Intelligence for the Earth Systems
Year: 2023
Generative Modeling of Spatio-Temporal Weather Patterns with Extreme Event Conditioning
arXiv
Year: 2021
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
IEEE Transactions on Neural Networks and Learning Systems
Year: 2021
Very Short-Term Rainfall Prediction Using Ground Radar Observations and Conditional Generative Adversarial Networks
IEEE Transactions on Geoscience and Remote Sensing
Year: 2021
A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting
IEEE Geoscience and Remote Sensing Letters
Year: 2019
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing
Year: 2020
MPL-GAN Toward Realistic Meteorological Predictive Learning Using Conditional GAN
IEEE Access
Year: 2020
Climate-StyleGAN Modeling Turbulent Climate Dynamics Using Style-GAN
AI for Earth Science Workshop
Year: 2020
Progressive Growing of GANs for Improved Quality, Stability, and Variation
arXiv
Year: 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
arXiv
Year: 2018
Total Results Found: 14
Climate Prediction Toolkit
Provides advanced tools for climate modeling and prediction.
Date: 1/15/2024
Virtual Earth System Laboratory
The Virtual Earth System Laboratory provides real-time simulations of glaciers, ice sheets, and sea levels using advanced models to analyze climate impacts and earth processes.
Date: 2/20/2024
Climate Data Operators
CDO is a collection of command line Operators to manipulate and analyse Climate and NWP model Data. Supported data formats are GRIB 1/2, netCDF 3/4, SERVICE, EXTRA and IEG. There are more than 600 operators available.
Date: 3/10/2024
IBM Data Preparation Toolkit
Data Prep Kit simplifies big data preparation for LLMs by offering modular transforms for unstructured data, enabling efficient and scalable data processing.
Date: 8/20/2024
U.S. Climate Resilience Toolkit
This framework helps you document climate hazards that could harm the things you care about, decide which situations you most want to avoid, and come up with workable solutions to reduce your climate-related risks.
Date: 4/5/2024
Remote Sensing Toolkit (NASA)
The Remote Sensing Toolkit provides access to NASA's data and analysis tools, promoting the commercialization and application of remote-sensing data for research, business, and conservation.
Date: 5/12/2024
Biodiversity Monitoring Tool
Tool for monitoring and analyzing biodiversity data from various sources.
Date: 6/1/2024
Global Forest Watch (GFW)
Global Forest Watch (GFW) is an online platform that provides data and tools for monitoring forests. By harnessing cutting-edge technology, GFW allows anyone to access near real-time information about where and how forests are changing around the world.
Date: 7/15/2024
MODFLOW 6
USGS Modular Hydrologic Model
Date: 5/23/2024
USGS Web Tools
The USGS Web Tools provide a suite of online resources designed for accessing, visualizing, and analyzing a wide range of geological and hydrological data.
Date: 5/5/2024
OpenEMS
Open Source Energy Management System
Date: 7/20/2024
Power System Blocks
The open source set of Power System Blocks in Java, dedicated to grid analysis and simulation.
Date: 8/15/2024
Landfill Gas and Waste Management Tools - US EPA
Provides a comprehensive list of tools and resources for managing landfill gas and waste, including analysis, monitoring, and management solutions.
Date: 9/1/2024
Flooding Analysis Tool
The NASA Flooding Analysis Tool enables users to assess future high-tide flooding risks due to sea level rise by analyzing tide gauge data and climate projections for specific locations and scenarios.
Date: 11/1/2024
Climate Action
This tab will host categories for Climate Action . This is being developed in partnership with the Technology Executive Committee (TEC)of the United Nations Framework Convention in support of the UNFCCC Technology Mechanism Initiative on Artificial Intelligence for Climate Action (#AI4ClimateAction).
More details about Climate Action SDG (Sustainable Development Goal) is available in this link: https://sdgs.un.org/goals/goal13.
AI Innovation Grand Challenge
Launched at the United Nations Climate Change Conference in Dubai in December 2023 (COP 28), the AI Innovation Grand Challenge is a global open-source AI competition. Hosted by the Enterprise Neurosystemin partnership with the Technology Executive Committee (TEC)of the United Nations Framework Convention on Climate Change (UNFCCC) in support of the UNFCCC Technology Mechanism Initiative on Artificial Intelligence for Climate Action (#AI4ClimateAction), the contest aims to:
- Identify #AI4ClimateAction solutions that drive responsible climate change adaptation and mitigation in developing countries
- Support the development & scaling-up of #AI4ClimateAction solutions
- Raise awareness of opportunities, challenges and risks of the use of AI for climate action
Link to 2024 Grand challenge: https://enter.innovationgrandchallenge.ai/2024.