Detecting the Distribution of Flood Inundation in Sunggumanai Village, Pattallassang District, Gowa Regency Using Sentinel-1 Synthetic Aperture Radar (SAR)

Abstract

Satellite imagery technology is very useful for monitoring flood disasters in Indonesia. Satellite imagery captures images of the Earth's surface from space. Synthetic Aperture Radar (SAR) is one type of satellite imagery that can be used to detect flooding in Indonesia. The advantage of Sentinel imagery is the use of radar waves in the recording process, so it can map areas inundated by floods during periods of high cloud cover. Sunggumanai Village, Pattallassang District, Gowa Regency, is one of the villages frequently hit by floods, causing several families to evacuate. The technique used to detect floods is the thresholding method. This method is used to separate land and standing water using the Sentinel Application Platform (Snap). The data used includes three scenes of Sentinel-1 synthetic aperture radar satellite imagery: before the flood, during the flood, and after the flood. Based on the results of the study, the area affected by the flood was approximately 54% of the total area of ​​Sunggumanai Village, or 264 hectares of the total area of ​​487 hectares. The affected area is largely productive agricultural land. An accuracy evaluation was conducted to determine the accuracy of the remote sensing results. Overall accuracy test results showed that the synthetic aperture radar achieved 75% accuracy in detecting floodwater distribution.