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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Datasets for deep learning with satellite & aerial imagery
| Date | Stars |
|---|---|
| 2026-07-31 | 1183 |
| 2026-08-05 | 1185 |
| 2026-08-06 | 1185 |
Today
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<a href="https://www.satellite-image-deep-learning.com/">
<img src="logo.png" width="700">
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<h2>Datasets for deep learning applied to satellite and aerial imagery.</h2>
# 👉 [satellite-image-deep-learning.com](https://www.satellite-image-deep-learning.com/) 👈
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**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
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* [Earth Observation Database](https://eod-grss-ieee.com/)
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* [awesome-satellite-imagery-datasets](https://github.com/chrieke/awesome-satellite-imagery-datasets)
* [Awesome_Satellite_Benchmark_Datasets](https://github.com/Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets)
* [awesome-remote-sensing-change-detection](https://github.com/wenhwu/awesome-remote-sensing-change-detection) -> dedicated to change detection
* [Callisto-Dataset-Collection](https://github.com/Agri-Hub/Callisto-Dataset-Collection) -> datasets that use Copernicus/sentinel data
* [geospatial-data-catalogs](https://github.com/giswqs/geospatial-data-catalogs) -> A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, and STAC Index
* [BED4RS](https://captain-whu.github.io/BED4RS/)
* [Satellite-Image-Time-Series-Datasets](https://github.com/corentin-dfg/Satellite-Image-Time-Series-Datasets)
# Remote sensing dataset hubs
* [Radiant MLHub](https://web.archive.org/web/20241213015814/https://mlhub.earth/) -> both datasets and models
* [Registry of Open Data on AWS](https://registry.opendata.aws)
* [Microsoft Planetary Computer data catalog](https://planetarycomputer.microsoft.com/catalog)
* [Google Earth Engine Data Catalog](https://developers.google.com/earth-engine/datasets)
## Sentinel
As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_Programme), multiple Sentinel satellites are capturing imagery -> see [wikipedia](https://en.wikipedia.org/wiki/Copernicus_Programme#Sentinel_missions)
### Sentinel-1 (SAR)
* [Xarray backend to Copernicus Sentinel-1 satellite data products](https://github.com/bopen/xarray-sentinel)
* [mmflood](https://github.com/edornd/mmflood) -> Flood delineation from Sentinel-1 SAR imagery
* [Sentinel-1 for Science Amazonas](https://sen4ama.gisat.cz/) -> forest lost time series dataset
* [CYCleSS](https://www.nature.com/articles/s41597-025-06528-x) -> A comprehensive UK crop yield dataset incorporating satellite, weather, and soil type informations
* [DeepOWT](https://zenodo.org/records/18735421) -> dataset of offshore wind energy infrastructure locations and their temporal deployment dynamics on a global scale.
* [Sentinel-1 SAR Oil Spill Image Dataset, Part I](https://zenodo.org/records/8346860) -> training and validation data for oil-spill detection and segmentation, comprising 2048×2048×2 Sentinel-1 Sigma0 images in decibels and 2048×2048 ground-truth masks in TIFF format
* [OPD v1.0.1](https://zenodo.org/records/19606423) -> Sentinel-1-derived Offshore Platform Dataset providing geospatial locations, lifespans, and spatial attributes of offshore oil and gas platforms
### Sentinel-2 (Optical)
* [Sentinel-2 Cloud-Optimized GeoTIFFs](https://registry.opendata.aws/sentinel-2-l2a-cogs/) and [Sentinel-2 L2A 120m Mosaic](https://registry.opendata.aws/sentinel-s2-l2a-mosaic-120/)
* [Open access data on GCP](https://console.cloud.google.com/storage/browser/gcp-public-data-sentinel-2?prefix=tiles%2F31%2FT%2FCJ%2F)
* [Example loading sentinel data in a notebook](https://github.com/binder-examples/getting-data/blob/master/Sentinel2.ipynb)
* [Analyzing Sentinel-2 satellite data in Python with Keras](https://github.com/jensleitloff/CNN-Sentinel)
* [SEN2VENµS](https://zenodo.org/record/6514159#.YoRxM5PMK3I) -> a dataset for the training of Sentinel-2 super-resolution algorithms
* [SEN2NEON](Excerpt of 111,842 characters
Read on GitHub
Robin Cole · @earthdaily · United Kingdom
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:26e98765af3a58cd, topic:datasets, readme:dataset, name:datasets