Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia
Drought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system is one of the promising countermeasures that was implemented in Indonesia in 2015. Because the damage assessment in the present system is conducted through direct investigations based on appearance,...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/13/1/113 |
| _version_ | 1827629592515444736 |
|---|---|
| author | Yu Iwahashi Gunardi Sigit Budi Utoyo Iskandar Lubis Ahmad Junaedi Bambang Hendro Trisasongko I Made Anom Sutrisna Wijaya Masayasu Maki Chiharu Hongo Koki Homma |
| author_facet | Yu Iwahashi Gunardi Sigit Budi Utoyo Iskandar Lubis Ahmad Junaedi Bambang Hendro Trisasongko I Made Anom Sutrisna Wijaya Masayasu Maki Chiharu Hongo Koki Homma |
| author_sort | Yu Iwahashi |
| collection | DOAJ |
| description | Drought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system is one of the promising countermeasures that was implemented in Indonesia in 2015. Because the damage assessment in the present system is conducted through direct investigations based on appearance, it is not objective and needs a long time to cover large areas. In this study, we investigated a rapid assessment method for paddy fields using a vegetation index (VI) taken by an unmanned aerial vehicle (UAV) with a multispectral camera in 2019 and 2021. Then, two ways of assessment for drought damage were tested: linear regression (LR) based on a visually assessed drought level (DL), and k-means clustering without an assessed DL. As a result, EVI2 could represent the damage level, showing the tendency of the decrease in the value along with the increasing DL. The estimated DL by both methods mostly coincided with the assessed DL, but the concordance rates varied depending on the locations and the number of assessed fields. Differences in the growth stage and rice cultivars also affected the results. This study revealed the feasibility of the UAV-based rapid and objective assessment method. Further data collection and analysis would be required for implementation in the future. |
| first_indexed | 2024-03-09T13:54:38Z |
| format | Article |
| id | doaj.art-f9d3d63065984972bf75a10756c1e64a |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T13:54:38Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-f9d3d63065984972bf75a10756c1e64a2023-11-30T20:45:56ZengMDPI AGAgriculture2077-04722022-12-0113111310.3390/agriculture13010113Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in IndonesiaYu Iwahashi0Gunardi Sigit1Budi Utoyo2Iskandar Lubis3Ahmad Junaedi4Bambang Hendro Trisasongko5I Made Anom Sutrisna Wijaya6Masayasu Maki7Chiharu Hongo8Koki Homma9Graduate School of Agriculture, Kyoto University, Kyoto 6068224, JapanRegional Office of Food Crops Service West Java Province, Cianjur 43283, IndonesiaRegional Office of Food Crops Service West Java Province, Cianjur 43283, IndonesiaFaculty of Agriculture, IPB University, Bogor 16680, IndonesiaFaculty of Agriculture, IPB University, Bogor 16680, IndonesiaFaculty of Agriculture, IPB University, Bogor 16680, IndonesiaDepartment of Agricultural and Bio-System Engineering, Udayana University, Badung 803611, IndonesiaFaculty of Food and Agricultural Sciences, Fukushima University, Fukushima 9061296, JapanCenter for Environmental Remote Sensing, Chiba University, Chiba 2638522, JapanGraduate School of Agricultural Science, Tohoku University, Sendai 9808572, JapanDrought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system is one of the promising countermeasures that was implemented in Indonesia in 2015. Because the damage assessment in the present system is conducted through direct investigations based on appearance, it is not objective and needs a long time to cover large areas. In this study, we investigated a rapid assessment method for paddy fields using a vegetation index (VI) taken by an unmanned aerial vehicle (UAV) with a multispectral camera in 2019 and 2021. Then, two ways of assessment for drought damage were tested: linear regression (LR) based on a visually assessed drought level (DL), and k-means clustering without an assessed DL. As a result, EVI2 could represent the damage level, showing the tendency of the decrease in the value along with the increasing DL. The estimated DL by both methods mostly coincided with the assessed DL, but the concordance rates varied depending on the locations and the number of assessed fields. Differences in the growth stage and rice cultivars also affected the results. This study revealed the feasibility of the UAV-based rapid and objective assessment method. Further data collection and analysis would be required for implementation in the future.https://www.mdpi.com/2077-0472/13/1/113crop insurancedroughtIndonesiariceunmanned aerial vehiclevegetation index |
| spellingShingle | Yu Iwahashi Gunardi Sigit Budi Utoyo Iskandar Lubis Ahmad Junaedi Bambang Hendro Trisasongko I Made Anom Sutrisna Wijaya Masayasu Maki Chiharu Hongo Koki Homma Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia Agriculture crop insurance drought Indonesia rice unmanned aerial vehicle vegetation index |
| title | Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia |
| title_full | Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia |
| title_fullStr | Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia |
| title_full_unstemmed | Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia |
| title_short | Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia |
| title_sort | drought damage assessment for crop insurance based on vegetation index by unmanned aerial vehicle uav multispectral images of paddy fields in indonesia |
| topic | crop insurance drought Indonesia rice unmanned aerial vehicle vegetation index |
| url | https://www.mdpi.com/2077-0472/13/1/113 |
| work_keys_str_mv | AT yuiwahashi droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT gunardisigit droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT budiutoyo droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT iskandarlubis droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT ahmadjunaedi droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT bambanghendrotrisasongko droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT imadeanomsutrisnawijaya droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT masayasumaki droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT chiharuhongo droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia AT kokihomma droughtdamageassessmentforcropinsurancebasedonvegetationindexbyunmannedaerialvehicleuavmultispectralimagesofpaddyfieldsinindonesia |