ISPRS-Archives

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISPRS-Archives

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

2194-9034

Copernicus Publications

Göttingen, Germany

10.5194/isprs-archives-XLII-4-W16-291-2019

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

Jamali

https://orcid.org/0000-0002-6073-5493

Abdul Rahman

https://orcid.org/0000-0001-5263-8266

Faculty of Surveying Engineering, Apadana Institute of Higher Education, Shiraz, Iran

Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia

01 10 2019

XLII-4/W16 291 295

2019

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

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The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-W16-291-2019.pdf

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).