Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia
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 padd...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/10/12/625 |
| _version_ | 1797544962717384704 |
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| author | Naohiro Manago Chiharu Hongo Yuki Sofue Gunardi Sigit Budi Utoyo |
| author_facet | Naohiro Manago Chiharu Hongo Yuki Sofue Gunardi Sigit Budi Utoyo |
| author_sort | Naohiro Manago |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:07:53Z |
| format | Article |
| id | doaj.art-88450d2b08314cd0bf787c755bffd564 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T14:07:53Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-88450d2b08314cd0bf787c755bffd5642023-11-21T00:28:51ZengMDPI AGAgriculture2077-04722020-12-01101262510.3390/agriculture10120625Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in IndonesiaNaohiro Manago0Chiharu Hongo1Yuki Sofue2Gunardi Sigit3Budi Utoyo4Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, JapanCenter for Environmental Remote Sensing, Chiba University, Chiba 263-8522, JapanCenter for Environmental Remote Sensing, Chiba University, Chiba 263-8522, JapanProvincial Office of Food Crops and Horticulture of West Java Province, West Java 43283, IndonesiaProvincial Office of Food Crops and Horticulture of West Java Province, West Java 43283, IndonesiaIn 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.https://www.mdpi.com/2077-0472/10/12/625synthetic aperture radarrice croptransplanting dateagricultural insurance |
| spellingShingle | Naohiro Manago Chiharu Hongo Yuki Sofue Gunardi Sigit Budi Utoyo Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia Agriculture synthetic aperture radar rice crop transplanting date agricultural insurance |
| title | Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia |
| title_full | Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia |
| title_fullStr | Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia |
| title_full_unstemmed | Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia |
| title_short | Transplanting Date Estimation Using Sentinel-1 Satellite Data for Paddy Rice Damage Assessment in Indonesia |
| title_sort | transplanting date estimation using sentinel 1 satellite data for paddy rice damage assessment in indonesia |
| topic | synthetic aperture radar rice crop transplanting date agricultural insurance |
| url | https://www.mdpi.com/2077-0472/10/12/625 |
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