Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province
Sentinel-2 imagery can identify forest and land fires in underground parts, surface fires, and crown fires. The dNBR and RBR spectral indices on Sentinel-2 images proved accurate in identifying. This study analyzed the index value for burned area mapping in wetland areas using Sentinel-2 imagery dat...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2022/7936392 |
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| author | Deasy Arisanty Muhammad Feindhi Ramadhan Parida Angriani Muhammad Muhaimin Aswin Nur Saputra Karunia Puji Hastuti Dedi Rosadi |
| author_facet | Deasy Arisanty Muhammad Feindhi Ramadhan Parida Angriani Muhammad Muhaimin Aswin Nur Saputra Karunia Puji Hastuti Dedi Rosadi |
| author_sort | Deasy Arisanty |
| collection | DOAJ |
| description | Sentinel-2 imagery can identify forest and land fires in underground parts, surface fires, and crown fires. The dNBR and RBR spectral indices on Sentinel-2 images proved accurate in identifying. This study analyzed the index value for burned area mapping in wetland areas using Sentinel-2 imagery data in 2019 and hotspot data from the MODIS data. The indices used to identify the burned area and the severity of the fire was the differenced normalized burn ratio (dNBR) and relativized burn ratio (RBR). Visual validation tests were performed by comparing RGB composite images to check the appearance before and after combustion with dNBR and RBR results. The dNBR value accuracy was 91.5%, and for a kappa, the accuracy was 89.58%. The RBR accuracy was 92.9%, and the kappa accuracy was 0.91. The results confirmed that in the Banjarbaru area, RBR was more accurate in identifying burned areas than dNBR; both indices can be used for burned area mapping in wetland areas. |
| format | Article |
| id | doaj-art-1937715d663a4211bbfc60bb6bafda7e |
| institution | Kabale University |
| issn | 1687-9376 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-1937715d663a4211bbfc60bb6bafda7e2025-02-03T06:13:35ZengWileyInternational Journal of Forestry Research1687-93762022-01-01202210.1155/2022/7936392Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan ProvinceDeasy Arisanty0Muhammad Feindhi Ramadhan1Parida Angriani2Muhammad Muhaimin3Aswin Nur Saputra4Karunia Puji Hastuti5Dedi Rosadi6Department of Geography EducationDepartment of Geography EducationDepartment of Geography EducationDepartment of Geography EducationDepartment of Geography EducationDepartment of Geography EducationDepartment of MathematicsSentinel-2 imagery can identify forest and land fires in underground parts, surface fires, and crown fires. The dNBR and RBR spectral indices on Sentinel-2 images proved accurate in identifying. This study analyzed the index value for burned area mapping in wetland areas using Sentinel-2 imagery data in 2019 and hotspot data from the MODIS data. The indices used to identify the burned area and the severity of the fire was the differenced normalized burn ratio (dNBR) and relativized burn ratio (RBR). Visual validation tests were performed by comparing RGB composite images to check the appearance before and after combustion with dNBR and RBR results. The dNBR value accuracy was 91.5%, and for a kappa, the accuracy was 89.58%. The RBR accuracy was 92.9%, and the kappa accuracy was 0.91. The results confirmed that in the Banjarbaru area, RBR was more accurate in identifying burned areas than dNBR; both indices can be used for burned area mapping in wetland areas.http://dx.doi.org/10.1155/2022/7936392 |
| spellingShingle | Deasy Arisanty Muhammad Feindhi Ramadhan Parida Angriani Muhammad Muhaimin Aswin Nur Saputra Karunia Puji Hastuti Dedi Rosadi Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province International Journal of Forestry Research |
| title | Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province |
| title_full | Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province |
| title_fullStr | Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province |
| title_full_unstemmed | Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province |
| title_short | Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province |
| title_sort | utilizing sentinel 2 data for mapping burned areas in banjarbaru wetlands south kalimantan province |
| url | http://dx.doi.org/10.1155/2022/7936392 |
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