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Low-cost space-borne data for inundation modelling: topography, flood extent and water level: UNESCO-IHE PhD Thesis book cover

1st Edition

Low-cost space-borne data for inundation modelling: topography, flood extent and water level UNESCO-IHE PhD Thesis

By Kun Yan Copyright 2015
134 Pages
by CRC Press

134 Pages
by CRC Press

This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable, intrinsic uncertainty. In particular, the potential in supporting hydraulic modelling of floods of: NASA’s SRTM (Shuttle Radar Topographic Mission) topographic data, SAR (Synthetic Aperture Radar) satellite imagery of flood extents and radar altimetry of water... Read more
1  Introduction; 2  Inundation modelling of a medium river: SRTM topography and ERS-2 flood extent; 3  Inundation modelling of a medium-to-large river: SRTM topography and ENVISAT flood extent; 4  Inundation modelling of a large river: SRTM topography and ENVISAT altimetry; 5  SRTM-based inundation modelling of a large river in data-scarce areas: regional versus physically-based methods; 6  Synthesis, conclusions and future research

Biography

Kun Yan was born on 31st December 1985, in Bengbu, Anhui Province, China. Kun received his Bachelor degree from the College of Hydrology and Water Resourses, Hohai University in May 2008. He then enrolled in the Master program of Ecohydrology at Hohai University. A year later, he moved to the Netherlands and joined the Master program of Hydroinformatics of UNESCO-IHE. He started his PhD at UNESCO-IHE in July 2011, and after two months obtained his MSc degree. His PhD topic is the integration of low-cost space-borne data into hydraulic modelling of floods. Kun was also involved in the EC FP7 KULTURisk project, which aims at developing a culture of risk prevention for natural disasters including floods. Kun`s research interests including remote sensing, flood inundation modelling and uncertainty. He is now an advisor/researcher at Deltares.

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