The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W7, 73–76, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W7-73-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W7, 73–76, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W7-73-2019

  01 Mar 2019

01 Mar 2019

FLOODED AREA EXTRACTION OF RICE PADDY FIELD IN INDONESIA USING SENTINEL-1 SAR DATA

H. Wakabayashi1, K. Motohashi1, T. Kitagami2, B. Tjahjono3, S. Dewayani4, D. Hidayat4, and C. Hongo2 H. Wakabayashi et al.
  • 1College of Engineering, Nihon University, Japan
  • 2Center for Environmental Remote Sensing, Chiba University, Japan
  • 3Bogor Agricultural University, Indonesia
  • 4Provincial Office of Food Crops and Horticulture of West Java Province, Indonesia

Keywords: flood, backscattering coefficient, linear discriminant analysis, rice paddy, agricultural insurance

Abstract. The objective of this study is to detect flooded area in rice paddy fields in Indonesia by using remotely sensed data. We used synthetic aperture radar (SAR) data for this purpose, because it is capable of getting high-resolution data in almost all-weather conditions. The paper gives a result of detecting flooded area occurred in our research sites located close to Bandung area, Tegalluar in Bojongsoang district, from the end of February to the beginning of March in 2018. The C-band SAR data acquired by Sentinel-1 were used for this analysis. We derived the gamma-naught threshold for dividing flood and non-flood areas by using a linear discriminant analysis. Discriminant accuracy reached 98% using VV polarization. By using the gamma-naught threshold and rice paddy field mask (GIS data), the rice paddy flooded area could be extracted with good accuracy.