Low-cost space-borne data for inundation modelling: topography, flood extent and water level: UNESCO-IHE PhD Thesis
Author:   Kun Yan (UNESCO-IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138028753


Pages:   134
Publication Date:   29 October 2015
Format:   Paperback
Availability:   In Print   Availability explained
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Low-cost space-borne data for inundation modelling: topography, flood extent and water level: UNESCO-IHE PhD Thesis


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Author:   Kun Yan (UNESCO-IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Dimensions:   Width: 17.00cm , Height: 1.00cm , Length: 24.00cm
Weight:   0.272kg
ISBN:  

9781138028753


ISBN 10:   1138028754
Pages:   134
Publication Date:   29 October 2015
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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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