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+ "id": "SEN2NAIPv2-real",
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+ "description": "<img src='images/taco.png' alt='drawing' width='50%'/>\nThe increasing demand for high spatial resolution in remote sensing imagery has led to the necessity of super-resolution (SR) algorithms that convert low-resolution (LR) images into high-resolution (HR) ones. To address this need, we introduce SEN2NAIP, a large remote sensing dataset designed to support conventional and reference-based SR model. This dataset is a variation of the SEN2NAIP `synthetic large dataset`. We select Sentinel-2 images that fall within a 30-day window of the corresponding NAIP image. Histogram matching is used to ensure consistent color distribution between the LR and HR images. A manual visual inspection is then conducted to discard any poor-quality images. The LR image is generated following the SEN2NAIPmethodology.<center>\n<img src='images/map.png' alt='drawing' width='50%'/>\n</center>\n*The spatial coverage of the dataset. The patch size is LR 130 \u00d7 130 and HR 520 \u00d7 520, respectively.",
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+ "title": "An ML-STAC Collection JSON file"
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+ "title": "An ML-STAC Item JSON file",
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+ "roles": [
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+ "mlstac-collection"
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+ "data": {
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+ "type": "application/parquet",
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+ "roles": [
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+ "metadata"
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+ }
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+ },
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+ "title": "A larget dataset for super-resolution of Sentinel-2",
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+ "naip",
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+ "sentinel-2",
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