Volume XLII-4/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 291–295, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 291–295, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD

A. Jamali1 and A. Abdul Rahman2 A. Jamali and A. Abdul Rahman
  • 1Faculty of Surveying Engineering, Apadana Institute of Higher Education, Shiraz, Iran
  • 2Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia

Keywords: Synthetic Aperture Radar, flooded area, mapping, Ramsar flash flood

Abstract. Disasters including flash floods, earthquakes, and landslides have huge economic and social losses besides their impact on environmental disruption. Studying environmental changes due to climate change can improve public and expert sector’s awareness and response towards future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are valuable tools for flood modeling and surface deformation modeling. This paper proposes an efficient approach to detect the flooded area changes using Sentinel-1A over Ramsar flood on 5th October 2018. For detection of the flooded area due to flash flood SARPROZ in MATLAB programming language is used and discussed. Flooded areas in Ramsar are detected based on the change detection modeling using normalized difference values of amplitude belonging to the master image (on 28th September 2018) and the slave image (on 10th October 2018).