Abstract
This study aims to detect flooded rice paddies in Indonesia using remotely sensed data from a relatively extensive flood that occurred in the Tegalluar area of Bojongsoang in the spring of 2018, which was observed by the Sentinel-1 and PlanetScope satellites. We propose an automatic thresholding method for the detection of flooded areas in rice paddy fields using Sentinel-1 C-band synthetic aperture radar (SAR) data acquisitions from before and during flooding. The flood-detection accuracy was verified using visible and near-infrared images acquired by the PlanetScope satellites. The proposed method showed that the VV (transmit V and receive V polarizations) data outperformed the VH (transmit V and receive H polarizations) data in terms of correlation ratio and discriminant accuracy. The overall classification accuracy of the nonflooded and flooded areas reached 84.7% with the VV data and 80.6% with the VH data, including the error that resulted from the time difference in the data acquired by Sentinel-1 and PlanetScope. Utilizing speckle-reducing filters with SAR data was found to improve the overall classification accuracy by 5%.
Highlights
T HE RICE productivity of Indonesia is the third largest in the world
The synthetic aperture radar (SAR) backscattering coefficients can decrease in all polarizations when a full flood occurs in a rice paddy field
We attempted to extract the flooded area from a rice paddy field in Bojongsoang, Indonesia, during the significant inundation that occurred from the end of February to the beginning of March 2018
Summary
T HE RICE productivity of Indonesia is the third largest in the world. The sustainable expansion of agricultural production is, an issue, both economically and in terms of food security. Indonesia launched an agricultural insurance system in 2016 that covers rice paddy damage resulting from natural disasters, such as floods and droughts. The insurance, plays an essential role in expanding sustainable agricultural production. Damage assessment is necessary for calculating the payment that can be claimed by farmers as agricultural insurance
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