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Satellite derived data to support flood modelling: An application to the Po River
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
2018. , p. 70
Series
TRITA-ABE-MBT ; 18330
Keywords [en]
Hydraulic Modelling, Flood Modelling, HEC-RAS, Mannings Coefficient, DEM, LiDAR, SRTM, Virtual Stations
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-230889OAI: oai:DiVA.org:kth-230889DiVA, id: diva2:1219905
Subject / course
Hydraulic Engineering
Educational program
Degree of Master - Environmental Engineering and Sustainable Infrastructure
Presentation
2018-06-05, OCEAN, TEKNIKRINGEN 10B, Stockholm, 10:06 (English)
Supervisors
Examiners
Available from: 2018-07-11 Created: 2018-06-18 Last updated: 2018-07-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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