Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia

Naohiro Manago, Chiharu Hongo, Yuki Sofue, Gunardi Sigit and Budi Utoyo
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Naohiro Manago: Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan
Chiharu Hongo: Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan
Yuki Sofue: Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan
Gunardi Sigit: Provincial Office of Food Crops and Horticulture of West Java Province, West Java 43283, Indonesia
Budi Utoyo: Provincial Office of Food Crops and Horticulture of West Java Province, West Java 43283, Indonesia

Agriculture, 2020, vol. 10, issue 12, 1-18

Abstract: In Indonesia, there is a need to improve the efficiency of damage assessments of the agricultural insurance system for paddy rice producers affected by floods, droughts, pests, and diseases. In this study, we develop a method to estimate the transplanting date required for damage assessments of paddy rice fields. The study area is the Cihea irrigation district in West Java, Republic of Indonesia. Backscattering coefficients of VH polarization measured by a synthetic aperture radar onboard the Sentinel-1 satellite were used for the estimations. We investigated the accuracy of the estimations of the proposed method by smoothing out the time-series data, applying a speckle filter, and by signal synthesis of the surrounding fields. It was found that these variations effectively improved the estimation accuracy. To further improve the estimation accuracy, the data for all incident angles were used after correcting the incident angle dependence of the backscattering coefficients for three types of data with different incident angles (32°, 41°, and 45°) obtained in the study area. The estimated transplanting date for each field in the test site was compared with the transplanting date obtained through interviews. The standard deviations of the estimation errors for the four cropping periods from March 2018 to February 2020 were found to be ~5–6 days, and the percentages of estimation errors in transplanting dates within 5, 10, and 15 days were estimated to be 69%, 92%, and 97%, respectively. It was confirmed that a sufficiently reliable transplanting date estimation can be obtained ~10–15 days after transplantation.

Keywords: synthetic aperture radar; rice crop; transplanting date; agricultural insurance (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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