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Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat_program)
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*[yosemite-tree-dataset](https://github.com/nightonion/yosemite-tree-dataset) -> a benchmark dataset for tree counting from aerial images
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*[Amazon Rainforest dataset for semantic segmentation](https://zenodo.org/record/3233081#.Y6LPLOzP1hE) -> Sentinel 2 images. Used in the paper 'An attention-based U-Net for detecting deforestation within satellite sensor imagery'
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*[Amazon and Atlantic Forest image datasets for semantic segmentation](https://zenodo.org/record/4498086#.Y6LPLuzP1hE) -> Sentinel 2 images. Used in paper 'An attention-based U-Net for detecting deforestation within satellite sensor imagery'
*[TimeMatch](https://zenodo.org/records/5636422) -> dataset for cross-region adaptation for crop identification from SITS in four different regions in Europe
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*[BirdSAT](https://github.com/mvrl/BirdSAT) -> Cross-View iNAT Birds 2021: This cross-view birds species dataset consists of paired ground-level bird images and satellite images, along with meta-information associated with the iNaturalist-2021 dataset.
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*[PureForest](https://huggingface.co/datasets/IGNF/PureForest) -> VHR RGB + Near-Infrared & lidar, each patch represents a monospecific forest
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*[OpenSARWake](https://github.com/libzzluo/OpenSARWake) -> A SAR ship wake rotation detection benchmark dataset.
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