Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data
Indonesia needs a daily monitoring system due to its frequent fires and, more importantly, to assist stakeholders in the field in taking action to mitigate disasters. Our method simplified the number of hotspots for field-based purposes and was verified by comparing the point-based (point-HS) VIIRS...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/7/1/9 |
| _version_ | 1827372378731053056 |
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| author | Andy Indradjad Muhammad Dimyati Yenni Vetrita Erna Sri Adiningsih Rokhmatuloh Rokhmatuloh |
| author_facet | Andy Indradjad Muhammad Dimyati Yenni Vetrita Erna Sri Adiningsih Rokhmatuloh Rokhmatuloh |
| author_sort | Andy Indradjad |
| collection | DOAJ |
| description | Indonesia needs a daily monitoring system due to its frequent fires and, more importantly, to assist stakeholders in the field in taking action to mitigate disasters. Our method simplified the number of hotspots for field-based purposes and was verified by comparing the point-based (point-HS) VIIRS (Visible Infrared Imaging Radiometer Suite) 375m-derived temperature anomalies (hotspots) and clustered-based hotspots (cluster-HS, our suggested method). Using Euclidean clustering, we calculated the distance between hotspot points and applied specific criteria to reduce the number of hotspots while aligning them closely with fire incidents. We evaluated accuracy at different fire sizes, burned areas, peatlands, and distances from the reported burn center. We found that the accuracy increases at 1.5 km from the center of the fire for both point- and cluster-HS at 52% and 53%, respectively. For areas larger than 14 ha, both types of hotspots yielded superior results of 83%. Cluster-HS performs better on peatlands than non-peatlands (62% vs. 57%). Without diminishing the precision of the hotspot observation, this study indicates that our method is reliable for assisting field stakeholders in the field in taking actions. Therefore, this product could be implemented into Indonesia’s daily hotspot monitoring. |
| first_indexed | 2024-03-08T10:57:47Z |
| format | Article |
| id | doaj.art-f64842c1b835433a8b6f2330e10b57dd |
| institution | Directory Open Access Journal |
| issn | 2571-6255 |
| language | English |
| last_indexed | 2024-03-08T10:57:47Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj.art-f64842c1b835433a8b6f2330e10b57dd2024-01-26T16:24:07ZengMDPI AGFire2571-62552023-12-0171910.3390/fire7010009Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite DataAndy Indradjad0Muhammad Dimyati1Yenni Vetrita2Erna Sri Adiningsih3Rokhmatuloh Rokhmatuloh4Faculty of Math and Sciences, University of Indonesia, Depok 16424, IndonesiaFaculty of Math and Sciences, University of Indonesia, Depok 16424, IndonesiaRemote Sensing Research Center, National Research and Innovation Agency, Cibinong 16911, IndonesiaRemote Sensing Research Center, National Research and Innovation Agency, Cibinong 16911, IndonesiaFaculty of Math and Sciences, University of Indonesia, Depok 16424, IndonesiaIndonesia needs a daily monitoring system due to its frequent fires and, more importantly, to assist stakeholders in the field in taking action to mitigate disasters. Our method simplified the number of hotspots for field-based purposes and was verified by comparing the point-based (point-HS) VIIRS (Visible Infrared Imaging Radiometer Suite) 375m-derived temperature anomalies (hotspots) and clustered-based hotspots (cluster-HS, our suggested method). Using Euclidean clustering, we calculated the distance between hotspot points and applied specific criteria to reduce the number of hotspots while aligning them closely with fire incidents. We evaluated accuracy at different fire sizes, burned areas, peatlands, and distances from the reported burn center. We found that the accuracy increases at 1.5 km from the center of the fire for both point- and cluster-HS at 52% and 53%, respectively. For areas larger than 14 ha, both types of hotspots yielded superior results of 83%. Cluster-HS performs better on peatlands than non-peatlands (62% vs. 57%). Without diminishing the precision of the hotspot observation, this study indicates that our method is reliable for assisting field stakeholders in the field in taking actions. Therefore, this product could be implemented into Indonesia’s daily hotspot monitoring.https://www.mdpi.com/2571-6255/7/1/9VIIRSactive fireclustering methodfire managementpeatland |
| spellingShingle | Andy Indradjad Muhammad Dimyati Yenni Vetrita Erna Sri Adiningsih Rokhmatuloh Rokhmatuloh Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data Fire VIIRS active fire clustering method fire management peatland |
| title | Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data |
| title_full | Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data |
| title_fullStr | Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data |
| title_full_unstemmed | Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data |
| title_short | Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data |
| title_sort | enhancing fire monitoring method over peatlands and non peatlands in indonesia using visible infrared imaging radiometer suite data |
| topic | VIIRS active fire clustering method fire management peatland |
| url | https://www.mdpi.com/2571-6255/7/1/9 |
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