Sentinel 1 SAR-Based Flood Detection and Mapping: Myanmar Two Consecutive Years Case

Sentinel 1 SAR-Based Flood Detection and Mapping: Myanmar Two Consecutive Years Case

© 2022 by IJETT Journal
Volume-70 Issue-12
Year of Publication : 2022
Author : Natalia I. Vargas-Cuentas, Avid Roman-Gonzalez
DOI : 10.14445/22315381/IJETT-V70I12P207

How to Cite?

Natalia I. Vargas-Cuentas, Avid Roman-Gonzalez, "Sentinel 1 SAR-Based Flood Detection and Mapping: Myanmar Two Consecutive Years Case," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 59-66, 2022. Crossref,

Various factors, such as climate change and deforestation, can drive more regular flooding. Flood events are becoming normal in Myanmar, even in consecutive years; the case analyzed in the present study is a flooding event that affected Myanmar in July 2015 and June 2016. The situation was even worse in this case since Cyclone Komen also struck the country in July 2015. Given this natural disaster that affected Myanmar, the present study has the main objective of using microwave satellite technology to process and analyze Sentinel 1 datasets through the SNAP platform using a thresholding method to identify and map flooded areas in 2015 and 2016. Given the proposed methodology, it was possible to process the datasets of this Synthetic Aperture Radar (SAR) and determine that a total area of 1,924 Km2 was affected by the flood in July 2015 and a total area of 3,248 Km2 where affected by the flood in August 2016 in the study area.

Flood, Microwave satellite, Sentinel 1, Threshold, SNAP, SAR.

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