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The Normalized Difference Water Index (NDWI), the standard remote-sensing index for delineating surface water from green and near-infrared reflectance.
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A deep-learning nucleus/boundary-segmentation model from the BioImage Model Zoo, originally trained on fluorescence-microscopy images of cell nuclei, applied without retraining to the satellite imagery through a Galaxy BioImage.IO inference workflow — i.e. a cross-discipline transfer of a bioimaging segmentation model to remote sensing.
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Delineation of open-water bodies — the total water area and the count of distinct water bodies — and the degree to which these agree with the NDWI baseline.
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Optical multispectral satellite imagery of landscapes containing many small open-water bodies — here Landsat surface-reflectance scenes of the Arctic Coastal Plain of northern Alaska, a terrain dense with thermokarst ponds.
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In Landsat satellite imagery of an Arctic thermokarst-pond landscape, does a BioImage Model Zoo nucleus-segmentation deep-learning model applied without retraining through a Galaxy BioImage.IO workflow, compared with the standard NDWI water index, delineate open-water bodies with a comparable total water area and number of distinct bodies?
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Can a bioimaging nucleus-segmentation model segment open water in satellite imagery via Galaxy?
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Anne Fouilloux
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Can a bioimaging nucleus-segmentation model segment open water in satellite imagery via Galaxy?
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