The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping

The study of flood risk involves the knowledge of the spatial variability in the characteristics of the vegetation cover, terrain, climate and changes induced by the intervention of humans in watersheds. The increased needs of the actors in land management mean that static maps no longer meet the re...

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Main Authors: Bouzahar Faiza hassainia, Ouerdachi Lahbaci, Keblouti Mahdi, Seddiki Akram
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Journal of Water and Land Development
Subjects:
GIS
Online Access:http://www.degruyter.com/view/j/jwld.2018.39.issue-1/jwld-2018-0055/jwld-2018-0055.xml?format=INT
id doaj-c33ebde73e0c4e6a841b044464cc4b93
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spelling doaj-c33ebde73e0c4e6a841b044464cc4b932020-11-24T21:43:29ZengSciendoJournal of Water and Land Development2083-45352018-12-01391172610.2478/jwld-2018-0055jwld-2018-0055The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mappingBouzahar Faiza hassainia0Ouerdachi Lahbaci1Keblouti Mahdi2Seddiki Akram3Badji Mokhtar University, Laboratory of Hydraulics and Hydraulic Constructions, P.O. Box 12, 23000Annaba, AlgeriaBadji Mokhtar University, Laboratory of Hydraulics and Hydraulic Constructions, P.O. Box 12, 23000Annaba, AlgeriaUniversity Center Abdelhafid Boussouf, Mila, AlgeriaNational Center for Space Technology, Arzew, AlgeriaThe study of flood risk involves the knowledge of the spatial variability in the characteristics of the vegetation cover, terrain, climate and changes induced by the intervention of humans in watersheds. The increased needs of the actors in land management mean that static maps no longer meet the requirements of scientists and decision-makers. Access is needed to the data, methods and tools to produce complex maps in response to the different stages of risk evaluation and response. The availability of very high spatial resolution remote sensing data (VHSR) and digital terrain model (DTM) make it possible to detect objects close to human size and, therefore, is of interest for studying anthropogenic activities. The development of new methods and knowledge using detailed spatial data, coupled with the use of GIS, naturally becomes beneficial to the risks analysis. Indeed, the extraction of information from specific processes, such as vegetation indices, can be used as variables such as water heights, flow velocities, flow rates and submersion to predict the potential consequences of a flood. The functionalities of GIS for cartographic overlay and multi-criteria spatial analysis make it possible to identify the flood zones according to the level of risk from the flood, thus making it a useful decision-making tool.http://www.degruyter.com/view/j/jwld.2018.39.issue-1/jwld-2018-0055/jwld-2018-0055.xml?format=INTAnnabacadastral informationdigital terrain model (DTM)flood riskGISmulti-criteria spatial analysisremote sensingVHSR
collection DOAJ
language English
format Article
sources DOAJ
author Bouzahar Faiza hassainia
Ouerdachi Lahbaci
Keblouti Mahdi
Seddiki Akram
spellingShingle Bouzahar Faiza hassainia
Ouerdachi Lahbaci
Keblouti Mahdi
Seddiki Akram
The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
Journal of Water and Land Development
Annaba
cadastral information
digital terrain model (DTM)
flood risk
GIS
multi-criteria spatial analysis
remote sensing
VHSR
author_facet Bouzahar Faiza hassainia
Ouerdachi Lahbaci
Keblouti Mahdi
Seddiki Akram
author_sort Bouzahar Faiza hassainia
title The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
title_short The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
title_full The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
title_fullStr The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
title_full_unstemmed The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
title_sort contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
publisher Sciendo
series Journal of Water and Land Development
issn 2083-4535
publishDate 2018-12-01
description The study of flood risk involves the knowledge of the spatial variability in the characteristics of the vegetation cover, terrain, climate and changes induced by the intervention of humans in watersheds. The increased needs of the actors in land management mean that static maps no longer meet the requirements of scientists and decision-makers. Access is needed to the data, methods and tools to produce complex maps in response to the different stages of risk evaluation and response. The availability of very high spatial resolution remote sensing data (VHSR) and digital terrain model (DTM) make it possible to detect objects close to human size and, therefore, is of interest for studying anthropogenic activities. The development of new methods and knowledge using detailed spatial data, coupled with the use of GIS, naturally becomes beneficial to the risks analysis. Indeed, the extraction of information from specific processes, such as vegetation indices, can be used as variables such as water heights, flow velocities, flow rates and submersion to predict the potential consequences of a flood. The functionalities of GIS for cartographic overlay and multi-criteria spatial analysis make it possible to identify the flood zones according to the level of risk from the flood, thus making it a useful decision-making tool.
topic Annaba
cadastral information
digital terrain model (DTM)
flood risk
GIS
multi-criteria spatial analysis
remote sensing
VHSR
url http://www.degruyter.com/view/j/jwld.2018.39.issue-1/jwld-2018-0055/jwld-2018-0055.xml?format=INT
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