BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING

Flooding is considered to be one of the most destructive among many natural disasters such that understanding floods and assessing the risks associated to it are becoming more important nowadays. In the Philippines, Remote Sensing (RS) and Geographic Information System (GIS) are two main technologie...

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Main Authors: J. R. Santillan, J. T. Marqueso, M. Makinano-Santillan, J. L. Serviano
Format: Article
Language:English
Published: Copernicus Publications 2016-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W1/315/2016/isprs-archives-XLII-4-W1-315-2016.pdf
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author J. R. Santillan
J. T. Marqueso
M. Makinano-Santillan
J. L. Serviano
author_facet J. R. Santillan
J. T. Marqueso
M. Makinano-Santillan
J. L. Serviano
author_sort J. R. Santillan
collection DOAJ
description Flooding is considered to be one of the most destructive among many natural disasters such that understanding floods and assessing the risks associated to it are becoming more important nowadays. In the Philippines, Remote Sensing (RS) and Geographic Information System (GIS) are two main technologies used in the nationwide modelling and mapping of flood hazards. Although the currently available high resolution flood hazard maps have become very valuable, their use for flood preparedness and mitigation can be maximized by enhancing the layers of information these maps portrays. In this paper, we present an approach based on RS, GIS and two-dimensional (2D) flood modelling to generate new flood layers (in addition to the usual flood depths and hazard layers) that are also very useful in flood disaster management such as flood arrival times, flood velocities, flood duration, flood recession times, and the percentage within a given flood event period a particular location is inundated. The availability of these new layers of flood information are crucial for better decision making before, during, and after occurrence of a flood disaster. The generation of these new flood characteristic layers is illustrated using the Cabadbaran River Basin in Mindanao, Philippines as case study area. It is envisioned that these detailed maps can be considered as additional inputs in flood disaster risk reduction and management in the Philippines.
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spelling doaj.art-7a409a4f9da147aab161be6d93ba98d52022-12-21T18:44:56ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-09-01XLII-4/W131532310.5194/isprs-archives-XLII-4-W1-315-2016BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLINGJ. R. Santillan0J. T. Marqueso1M. Makinano-Santillan2J. L. Serviano3CSU Phil-LIDAR 1 Project, Caraga Center for Geo-informatics, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City, Agusan del Norte, PhilippinesCSU Phil-LIDAR 1 Project, Caraga Center for Geo-informatics, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City, Agusan del Norte, PhilippinesCSU Phil-LIDAR 1 Project, Caraga Center for Geo-informatics, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City, Agusan del Norte, PhilippinesCSU Phil-LIDAR 1 Project, Caraga Center for Geo-informatics, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City, Agusan del Norte, PhilippinesFlooding is considered to be one of the most destructive among many natural disasters such that understanding floods and assessing the risks associated to it are becoming more important nowadays. In the Philippines, Remote Sensing (RS) and Geographic Information System (GIS) are two main technologies used in the nationwide modelling and mapping of flood hazards. Although the currently available high resolution flood hazard maps have become very valuable, their use for flood preparedness and mitigation can be maximized by enhancing the layers of information these maps portrays. In this paper, we present an approach based on RS, GIS and two-dimensional (2D) flood modelling to generate new flood layers (in addition to the usual flood depths and hazard layers) that are also very useful in flood disaster management such as flood arrival times, flood velocities, flood duration, flood recession times, and the percentage within a given flood event period a particular location is inundated. The availability of these new layers of flood information are crucial for better decision making before, during, and after occurrence of a flood disaster. The generation of these new flood characteristic layers is illustrated using the Cabadbaran River Basin in Mindanao, Philippines as case study area. It is envisioned that these detailed maps can be considered as additional inputs in flood disaster risk reduction and management in the Philippines.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W1/315/2016/isprs-archives-XLII-4-W1-315-2016.pdf
spellingShingle J. R. Santillan
J. T. Marqueso
M. Makinano-Santillan
J. L. Serviano
BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
title_full BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
title_fullStr BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
title_full_unstemmed BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
title_short BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING
title_sort beyond flood hazard maps detailed flood characterization with remote sensing gis and 2d modelling
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W1/315/2016/isprs-archives-XLII-4-W1-315-2016.pdf
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