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7900103 
Meetings & Symposia 
Makasar flood area detection using sentinel-1 GRD satellite image with use of change index and ESA-SNAP 
Ramdani, D 
2020 
Asian Association on Remote Sensing 
English 
Flood often located in area that has cloud and it is difficult to detect with optical satellite image. Radar in other hand can penetrate cloud and with this property the image came from radar is suitable for detecting flood area. Sentinel with S band has 2 polarization namely VV and VH. To detect flood area VV polarization can be used. With the equation of change index The area flood can be identified from 2 times of pre-inundation and co-inundation. The flood of makasar can be sensed with sentinel-1 GRD satellite image. The image of preinundation is taken at 1st and 15th January 2019 and coinundation is taken at 25th and 27th January 2019. The images are first processed with basic radar processing of ESA-SNAP software namely apply orbit file with sentinel precise orbit and polynomial degree of 3, calibration to produce sigma0, speckle filtering with lee 3x3 filter, and coregistration to stack the images. After that the images then they are processed with change index formula and are filtered with threshold of 0.8 and above to detect the flood area. The resulting images are the flood area southeast of Makasar city at 25th and 27th January 2019. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved. 
Change-Index; ESA-SNAP; Flood; Sentinel-1; Floods; Image processing; Orbits; Polarization; Remote sensing; Satellites; Space-based radar; Change indexes; ESA-SNAP; Optical satellite images; Polynomial degree; Radar processing; Satellite images; Sentinel-1; Speckle filtering; Radar imaging