*E. S. De Enxeñeria Informática
Centro
Stockholm University
Estocolmo, SueciaPublicaciones en colaboración con investigadores/as de Stockholm University (3)
2024
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Automating the detection of hydrological barriers and fragmentation in wetlands using deep learning and InSAR
Remote Sensing of Environment, Vol. 311
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DEEPAQUA: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data
International Journal of Applied Earth Observation and Geoinformation, Vol. 126
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The Potential of Hydrogeodesy to Address Water-Related and Sustainability Challenges
Water Resources Research, Vol. 60, Núm. 11