Satellite derived data to support flood modelling : An application to the Po River

Satellite derived data to support flood modelling : An application to the Po River

Satellite derived data has become an essential input in hydraulic modelling. Digital ElevationModels (DEMs) derived from different sources through remote sensing techniques have become a powerful tool for poorly gauged regions. This paper analyses the capabilities of DEMS derived from Shuttle Radar...

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Bibliographic Details
Main Authors: Ortiz Peña, Victor Alejandro, Dinic, Milos
Format: Others
Language:English
Published: KTH, Hållbar utveckling, miljövetenskap och teknik 2018
Subjects:
Hydraulic Modelling
Flood Modelling
HEC-RAS
Mannings Coefficient
DEM
LiDAR
SRTM
Virtual Stations
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230889
Description
Summary:Satellite derived data has become an essential input in hydraulic modelling. Digital ElevationModels (DEMs) derived from different sources through remote sensing techniques have become a powerful tool for poorly gauged regions. This paper analyses the capabilities of DEMS derived from Shuttle Radar Topography Mission (SRTM) and a Light Detection and Ranging (LiDAR) and compares their accuracy against each other in a 1D hydraulic model. The study tests two different methods for inferring the river bathymetry under the water surface level for the SRTM derived DEM in order to enhance its performance, the study further analyze the reliability of remotely sensed altimetry data derived from different satellite missions (TOPEX and ENVISAT) and its suitability to complement spaceborne topographic data in hydraulic modelling.

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