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).

Details

Title
FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD
Author
Jamali, A 1   VIAFID ORCID Logo  ; A Abdul Rahman 2 

1  Faculty of Surveying Engineering, Apadana Institute of Higher Education, Shiraz, Iran; Faculty of Surveying Engineering, Apadana Institute of Higher Education, Shiraz, Iran 
2  Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia; Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia 
Pages
291-295
Publication year
2019
Publication date
2019
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
DOI
https://doi.org/10.5194/isprs-archives-XLII-4-W16-291-2019
ProQuest document ID
2585367863
Copyright
© 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.