Datasets:
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README.md
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pretty_name: "
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language:
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- en
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license: "cc-by-4.0"
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tags:
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- remote-sensing
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- geospatial
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- image
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- environmental-monitoring
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- image-classification
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- image-segmentation
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#
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## Dataset Overview
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This dataset contains
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(Latitude 64°–66°N, Longitude 51°–56°W):
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Dominated by glaciers and icefields, this area features exposed bedrock mountains and narrow coastal vegetation zones. It is a key region for studying glacier dynamics, with typical crevasse systems on the glacier surface and primitive vegetation emerging in coastal areas following glacier retreat.
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###
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Approximately 60% of this region is covered by glaciers, while the remainder consists of exposed land and Arctic tundra vegetation. It includes various glacier types such as ice caps, valley glaciers, and icefields, making it an ideal site for studying glacier–permafrost interactions in the Arctic.
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pretty_name: "Mulitmodal Sea-Land Segmentation Dataset"
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language:
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- en
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license: "cc-by-4.0"
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tags:
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- remote-sensing
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- sea-land segmaentation
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- mulitmodal
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- sentinel
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- geospatial
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- image
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- environmental-monitoring
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- image-classification
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- image-segmentation
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# Mulitmodal Sea-Land Segmentation Dataset
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## Dataset Overview
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This dataset contains optical and SAR images from Sentinel-2 and Sentinel-1.
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### Optical image
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### SAR image
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The SAR images were acquired from the Sentinel-1 satellite. Specifically, the Interferometric Wide Swath (IW) mode with a pixel size of 10 meters was used, incorporating both Vertical-Vertical (VV) and Vertical-Horizontal (VH) polarizations.The Sentinel-1 data underwent preprocessing in SNAP software, including orbit correction, thermal noise removal, radiometric calibration, and terrain correction. Finally, the data were resampled to a resolution of 10 m × 10 m to align with the selected Sentinel-2 spectral bands.
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