Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-N...
Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Wetlands are important habitats for biodiversity and provide ecosystem services such as climate mitigation and carbon storage. The current wetland mapping techniques in Norway are tedious and costly, and remote sensing provides an opportunity for large-scale mapping and ecosystem accounting. We aimed to implement a deep learning approach to mapping...
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Full title
Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine
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TN_cdi_doaj_primary_oai_doaj_org_article_60c7c4f859ae4009b99e63d1fc9551cc
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_60c7c4f859ae4009b99e63d1fc9551cc
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15051203
