Abstract
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.
Highlights
Indonesia is one of the leading rice producing countries in the world
When the flood occurred in rice paddy fields, the backscattering is dominated by specular reflections
Agricultural incurrence has been implemented in Indonesia for three years, and the damage assessment of rice paddy is conducted by in-situ observations
Summary
Indonesia is one of the leading rice producing countries in the world. Rain plays an important role in rice production especially in the area having clear dry and rainy seasons in the Asian tropical region. New methods for the damage evaluations by using remotely sensed data are being investigated in our SATREPS project. This project is titled "development and implementation of new damage assessment process in agricultural insurance as adaptation to climate change for food security". The period of this project is from 2017 to 2022 (Hongo and Baba, 2017). The objective of this study is to extract flooded area in rice paddy fields in Indonesia by using remotely sensed data. The UAV data as well as the ground photos were used for verifying the extracted result
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