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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -44,6 +44,7 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
* [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
* [SEN2NAIP](https://huggingface.co/datasets/tacofoundation/SEN2NAIPv2) -> Spatially and spectrally harmonized Sen-2 + NAIP dataset for 4x RGB-NIR super-resolution.
* [Sen4AgriNet](https://github.com/Orion-AI-Lab/S4A) -> A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning, with and [models](https://github.com/Orion-AI-Lab/S4A-Models)
* [sentinel2tools](https://github.com/QuantuMobileSoftware/sentinel2tools) -> downloading & basic processing of Sentinel 2 imagesry. Read [Sentinel2tools: simple lib for downloading Sentinel-2 satellite images](https://medium.com/geekculture/sentinel2tools-simple-lib-for-downloading-sentinel-2-satellite-images-f8a6be3ee894)
* [open-sentinel-map](https://github.com/VisionSystemsInc/open-sentinel-map) -> The OpenSentinelMap dataset contains Sentinel-2 imagery and per-pixel semantic label masks derived from OpenStreetMap
Expand Down Expand Up @@ -155,6 +156,7 @@ Vegetation and Environment monitoring on a New Micro-Satellite ([VENμS](https:/
* [Sen2Venµs](https://zenodo.org/records/6514159) -> a dataset for the training of Sentinel-2 super-resolution algorithms
* [sen2venus-pytorch-dataset](https://github.com/piclem/sen2venus-pytorch-dataset) -> torch dataloader and other utilities


## Maxar
Satellites owned by Maxar (formerly DigitalGlobe) include [GeoEye-1](https://en.wikipedia.org/wiki/GeoEye-1), [WorldView-2](https://en.wikipedia.org/wiki/WorldView-2), [3](https://en.wikipedia.org/wiki/WorldView-3) & [4](https://en.wikipedia.org/wiki/WorldView-4)
* [Maxar Open Data Program](https://github.com/opengeos/maxar-open-data) provides pre and post-event high-resolution satellite imagery in support of emergency planning, response, damage assessment, and recovery
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