Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-3063-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-3063-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Flood depth estimation by means of high-resolution SAR images and lidar data
Department of Economics, University of Venice Ca' Foscari, Venice,
30121, Italy
Mattia Marconcini
DFD German Aerospace Center (DFD-DLR), 82234 Weßling, Germany
Pietro Ceccato
International Research Institute for Climate and Society (IRI),
Columbia University, New York, USA
Carlo Giupponi
Department of Economics, University of Venice Ca' Foscari, Venice,
30121, Italy
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- Leveraging Sentinel-2 and Geographical Information Systems in Mapping Flooded Regions around the Sesia River, Piedmont, Italy G. Petropoulos et al. 10.3390/geohazards5020025
- Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine Learning Algorithms I. Elkhrachy 10.3390/rs14030440
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- Combining SAR and Optical Earth Observation with Hydraulic Simulation for Flood Mapping and Impact Assessment E. Psomiadis et al. 10.3390/rs12233980
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- Earth Observation Data Synergy for the Enhanced Monitoring of Ephemeral Water Bodies to Anticipate Karst-Related Flooding E. Papageorgiou et al. 10.3390/geohazards4020012
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