Datasets
Datasets for deep learning with satellite & aerial imagery
Install / Use
/learn @satellite-image-deep-learning/DatasetsREADME
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<h2>Datasets for deep learning applied to satellite and aerial imagery.</h2>
👉 satellite-image-deep-learning.com 👈
</div>How to use this repository: if you know exactly what you are looking for (e.g. you have the paper name) you can Control+F to search for it in this page (or search in the raw markdown).
Lists of datasets
<!-- markdown-link-check-disable --> <!-- markdown-link-check-enable -->- awesome-satellite-imagery-datasets
- Awesome_Satellite_Benchmark_Datasets
- awesome-remote-sensing-change-detection -> dedicated to change detection
- Callisto-Dataset-Collection -> datasets that use Copernicus/sentinel data
- geospatial-data-catalogs -> A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, and STAC Index
- BED4RS
- Satellite-Image-Time-Series-Datasets
Remote sensing dataset hubs
- Radiant MLHub -> both datasets and models
- Registry of Open Data on AWS
- Microsoft Planetary Computer data catalog
- Google Earth Engine Data Catalog
Sentinel
As part of the EU Copernicus program, multiple Sentinel satellites are capturing imagery -> see wikipedia
Sentinel-1 (SAR)
- Xarray backend to Copernicus Sentinel-1 satellite data products
- mmflood -> Flood delineation from Sentinel-1 SAR imagery, with paper
- Sentinel-1 for Science Amazonas -> forest lost time series dataset
Sentinel-2 (Optical)
- Sentinel-2 Cloud-Optimized GeoTIFFs and Sentinel-2 L2A 120m Mosaic
- Open access data on GCP
- Example loading sentinel data in a notebook
- Analyzing Sentinel-2 satellite data in Python with Keras
- SEN2VENµS -> a dataset for the training of Sentinel-2 super-resolution algorithms
- M3LEO -> Github. A very large scale georeferenced dataset of Sentinel 1/2 imagery plus interferometric SAR products and auxiliary datasets such as Land cover, Biomass and Digital Elevation Models.
- SEN12MS -> A Curated Dataset of Georeferenced Multi-spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. Checkout SEN12MS toolbox and many referenced uses on paperswithcode.com
- SEN2NAIP -> Spatially and spectrally harmonized Sen-2 + NAIP dataset for 4x RGB-NIR super-resolution.
- Sen4AgriNet -> A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning, with and models
- sentinel2tools -> downloading & basic processing of Sentinel 2 imagesry. Read Sentinel2tools: simple lib for downloading Sentinel-2 satellite images
- open-sentinel-map -> The OpenSentinelMap dataset contains Sentinel-2 imagery and per-pixel semantic label masks derived from OpenStreetMap
- Canadian-cropland-dataset -> a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved from Sentinel-2
- Sentinel-2 Cloud Cover Segmentation Dataset on Radiant mlhub
- The Azavea Cloud Dataset which is used to train this cloud-model
- fMoW-Sentinel -> The Functional Map of the World - Sentinel-2 corresponding images (fMoW-Sentinel) dataset consists of image time series collected by the Sentinel-2 satellite, corresponding to locations from the Functional Map of the World (fMoW) dataset across several different times. Used in SatMAE
- Earth Surface Water Dataset -> a dataset for deep learning of surface water features on Sentinel-2 satellite images. See this ref using it in torchgeo
- Ship-S2-AIS dataset -> 13k tiles extracted from 29 free Sentinel-2 products. 2k images showing ships in Denmark sovereign waters: one may detect cargos, fishing, or container ships
- Amazon Rainforest dataset for semantic segmentation -> Sentinel 2 images
- MATTER -> a Sentinel 2 dataset for Self-Supervised Training
- S2GLC -> High resolution Land Cover Map of Europe
- Generating Imperviousness Maps from Multispectral Sentinel-2 Satellite Imagery
- Sentinel-2 Water Edges Dataset (SWED)
- Sentinel2 Munich480 -> dataset for crop mapping by exploiting the time series of Sentinel-2 satellite
- Meadows vs Orchards -> a pixel time series dataset
- Sentinel-2 Image Time Series for Crop Mapping -> data for the Lombardy region in Italy
- Deforestation in Ukraine from Sentinel2 data
- satellite-change-events -> CaiRoad & CalFire change detection Sentinel 2 datasets
- Sentinel-2 dataset for ship detection, also edited and redistributed as VDS2RAW
- MineSegSAT -> dataset for paper: AN AUTOMATED SYSTEM TO EVALUATE MINING DISTURBED AREA EXTENTS FROM SENTINEL-2 IMAGERY
- CaBuAr -> California Burned Areas dataset for delineation
- sen12mscr -> Multimodal Cloud Removal
- Greenearthnet -> dataset specifically designed for high-resolution vegetation forecasting
- Floating-Marine-Debris-Data -> floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.
- Sen2Fire -> A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data
- L1BSR -> 3740 pairs of overlapping image crops extracted from two L1B products
- GloSoFarID -> Global multispectral dataset for Solar Farm IDentification
- MARIDA -> Marine Debris detection from Sentinel-2
- MADOS -> Marine Debris and Oil Spill from Sentinel-2
- Sentinel-2 dataset for ship detection and characterization -> RGB
- S2-SHIPS -> all 12 channels
- ChatEarthNet -> A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models, utilizes Sentinel-2 data with captions generated by ChatGPT
- UKFields -> over 2.3 million automatically delineated field boundaries spanning England, Wales, Scotland, and Northern Ireland
- ShipWakes -> Keypoints Method for Recognition of Ship Wake Components in Sentinel-2 Images by Deep Learning
- TimeSen2Crop -> a Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop Type Classification
- AgriSen-COG -> a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping: includes an anomaly detection preprocessing step
- [MagicBathyNet](http
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