Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring

The province of East Kalimantan is officially designated as the State Capital because the area has the least risk of disaster, even though it cannot be separated from disasters such as forest and land fires. This study aims to determine the spatial pattern of hotspots using SNPP-VIIRS for monitoring...

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Main Authors: Rosalina Kumalawati, Astinana Yuliarti, Syamani D. Ali, Karnanto Hendra Murliawan, Rijanta Rijanta, Ari Susanti, Erlis Saputra
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:International Journal of Forestry Research
Online Access:http://dx.doi.org/10.1155/2023/3121862
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author Rosalina Kumalawati
Astinana Yuliarti
Syamani D. Ali
Karnanto Hendra Murliawan
Rijanta Rijanta
Ari Susanti
Erlis Saputra
author_facet Rosalina Kumalawati
Astinana Yuliarti
Syamani D. Ali
Karnanto Hendra Murliawan
Rijanta Rijanta
Ari Susanti
Erlis Saputra
author_sort Rosalina Kumalawati
collection DOAJ
description The province of East Kalimantan is officially designated as the State Capital because the area has the least risk of disaster, even though it cannot be separated from disasters such as forest and land fires. This study aims to determine the spatial pattern of hotspots using SNPP-VIIRS for monitoring potential fires. The research used the descriptive-analytic method to identify the research area and collect secondary data. Secondary data is spatial and nonspatial data consisting of hotspot data from the recording of the SNPP -VIIRS image, including frequency and distribution of hotspots. The data usage from 2012–2021 using SNPP-VIIRS morning and evening recordings. The study results show that the spatial pattern of potential hotspots in the capital city of a new country is quite varied. The spatial pattern of hotspots shows that Kutai Kartanegara Regency as one of the locations for the new State Capital, has the highest number of hotspots, namely 38,970 with the highest accuracy in East Kalimantan Province, namely, 1,616 (low), 36,253 (nominal), and 1,101 (high). The potential for fire disasters in Kutai Kartanegara Regency as an IKN location is high, so planning is urgently needed for future fire prevention, mitigation, and prevention strategies. The spatial pattern of hotspots is known, so it can be used to monitor potential fires and minimize fire occurrences.
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institution Kabale University
issn 1687-9376
language English
publishDate 2023-01-01
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series International Journal of Forestry Research
spelling doaj-art-4211a6178cff4ae6b6b2119cb09c8c5f2025-02-03T06:42:45ZengWileyInternational Journal of Forestry Research1687-93762023-01-01202310.1155/2023/3121862Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential MonitoringRosalina Kumalawati0Astinana Yuliarti1Syamani D. Ali2Karnanto Hendra Murliawan3Rijanta Rijanta4Ari Susanti5Erlis Saputra6Department of GeographyDepartment of Communication StudiesLambung Mangkurat UniversityMinistry of Agrarian & Spatial Plan/National Land AgencyGadjah Mada UniversityGadjah Mada UniversityGadjah Mada UniversityThe province of East Kalimantan is officially designated as the State Capital because the area has the least risk of disaster, even though it cannot be separated from disasters such as forest and land fires. This study aims to determine the spatial pattern of hotspots using SNPP-VIIRS for monitoring potential fires. The research used the descriptive-analytic method to identify the research area and collect secondary data. Secondary data is spatial and nonspatial data consisting of hotspot data from the recording of the SNPP -VIIRS image, including frequency and distribution of hotspots. The data usage from 2012–2021 using SNPP-VIIRS morning and evening recordings. The study results show that the spatial pattern of potential hotspots in the capital city of a new country is quite varied. The spatial pattern of hotspots shows that Kutai Kartanegara Regency as one of the locations for the new State Capital, has the highest number of hotspots, namely 38,970 with the highest accuracy in East Kalimantan Province, namely, 1,616 (low), 36,253 (nominal), and 1,101 (high). The potential for fire disasters in Kutai Kartanegara Regency as an IKN location is high, so planning is urgently needed for future fire prevention, mitigation, and prevention strategies. The spatial pattern of hotspots is known, so it can be used to monitor potential fires and minimize fire occurrences.http://dx.doi.org/10.1155/2023/3121862
spellingShingle Rosalina Kumalawati
Astinana Yuliarti
Syamani D. Ali
Karnanto Hendra Murliawan
Rijanta Rijanta
Ari Susanti
Erlis Saputra
Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
International Journal of Forestry Research
title Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
title_full Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
title_fullStr Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
title_full_unstemmed Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
title_short Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring
title_sort hotspot spatial patterns using snnp viirs for fire potential monitoring
url http://dx.doi.org/10.1155/2023/3121862
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AT karnantohendramurliawan hotspotspatialpatternsusingsnnpviirsforfirepotentialmonitoring
AT rijantarijanta hotspotspatialpatternsusingsnnpviirsforfirepotentialmonitoring
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