The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 315–323, 2016
https://doi.org/10.5194/isprs-archives-XLII-4-W1-315-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 315–323, 2016
https://doi.org/10.5194/isprs-archives-XLII-4-W1-315-2016

  30 Sep 2016

30 Sep 2016

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

J. R. Santillan, J. T. Marqueso, M. Makinano-Santillan, and J. L. Serviano J. R. Santillan et al.
  • CSU Phil-LIDAR 1 Project, Caraga Center for Geo-informatics, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City, Agusan del Norte, Philippines

Keywords: Flood, Hazards, LiDAR, Flood Simulation, HEC RAS, 2D Modelling

Abstract. 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.