2025
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Fauziah,; Hayati, Nur; Prasetyo, Lilik B Mapping of hotspots and burn areas based on QGIS in relation to Peatland fire vulnerability on Sumatra Island Conference AIP Conference Proceedings, vol. 3250, 2025. @conference{nokey,
title = {Mapping of hotspots and burn areas based on QGIS in relation to Peatland fire vulnerability on Sumatra Island},
author = {Fauziah and Nur Hayati and Lilik B Prasetyo},
year = {2025},
date = {2025-04-30},
booktitle = {AIP Conference Proceedings},
volume = {3250},
issue = {1},
abstract = {Peatlands in Indonesia cover 10.8% of the country’s land area and are found in Kalimantan, Papua, and Sumatra. Peatlands store large amounts of water and help to prevent floods and droughts in surrounding areas. However, poor management of peatlands has led to frequent wildfires in Indonesia. In 2015, wildfires in Sumatra produced hazardous haze that affected the health of over 100,000 people in Indonesia, Malaysia, and Singapore. Indonesian peatlands store up to 57 billion tons of carbon, which makes it difficult to extinguish underground peat fires. One way to prevent wildfires is to map hotspots and burn areas to identify vulnerable regions. This study used hotspot data from VIIRS and burn area data from MODIS to analyze trends in Sumatra, the largest peatland area in Indonesia. The results showed that the number of hotspots and the size of burn areas in Riau were significantly higher than in other peatland regions. Riau consistently had the highest percentage of hotspots and burn areas, ranging from 6.26% to 90.70% for hotspots and 22.45% to 80.01% for burn areas.},
keywords = {hotspot, peatland},
pubstate = {published},
tppubtype = {conference}
}
Peatlands in Indonesia cover 10.8% of the country’s land area and are found in Kalimantan, Papua, and Sumatra. Peatlands store large amounts of water and help to prevent floods and droughts in surrounding areas. However, poor management of peatlands has led to frequent wildfires in Indonesia. In 2015, wildfires in Sumatra produced hazardous haze that affected the health of over 100,000 people in Indonesia, Malaysia, and Singapore. Indonesian peatlands store up to 57 billion tons of carbon, which makes it difficult to extinguish underground peat fires. One way to prevent wildfires is to map hotspots and burn areas to identify vulnerable regions. This study used hotspot data from VIIRS and burn area data from MODIS to analyze trends in Sumatra, the largest peatland area in Indonesia. The results showed that the number of hotspots and the size of burn areas in Riau were significantly higher than in other peatland regions. Riau consistently had the highest percentage of hotspots and burn areas, ranging from 6.26% to 90.70% for hotspots and 22.45% to 80.01% for burn areas. |
2024
|
Fauziah,; Prasetyo, Lilik B; Saribanon, Nonon; Hayati, Nur Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach Journal Article In: MethodsX, vol. 14, iss. June 2025, 2024. @article{nokey,
title = {Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach},
author = {Fauziah and Lilik B Prasetyo and Nonon Saribanon and Nur Hayati},
doi = {https://doi.org/10.1016/j.mex.2024.103128},
year = {2024},
date = {2024-12-20},
journal = {MethodsX},
volume = {14},
issue = {June 2025},
abstract = {Peatland fires are increasingly becoming a concern as a recurring environmental issue in Indonesia, particularly along the east coast of Sumatra Island, in Bengkalis Regency. Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. The algorithm used are Random Forest (RF) and Logistic Regression (Log-Reg), with independent variables including physiography, peat physical characteristics, anthropogenic factors, climate, and NDMI. The total burned area in Bengkalis Regency in 2019 was 175.85 km², with Rupat District being the area with the largest burned area. The best model is RF that was able to predict peatland fires in Bengkalis Regency effectively, with achieving an AUC value of 0.972. The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. The accuracy of RF reached 95.07%. The classification results indicated three levels of peatland fire vulnerability in Bengkalis Regency
• Non-Vulnerable: Areas classified as non-vulnerable are regions where the risk of peatland fires is minimal or non-existent.
• Low Vulnerability: These areas have a moderate risk of peatland fires.
• High Vulnerability: Areas with high vulnerability are the most susceptible to peatland fires.},
keywords = {ENSO, peatland},
pubstate = {published},
tppubtype = {article}
}
Peatland fires are increasingly becoming a concern as a recurring environmental issue in Indonesia, particularly along the east coast of Sumatra Island, in Bengkalis Regency. Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. The algorithm used are Random Forest (RF) and Logistic Regression (Log-Reg), with independent variables including physiography, peat physical characteristics, anthropogenic factors, climate, and NDMI. The total burned area in Bengkalis Regency in 2019 was 175.85 km², with Rupat District being the area with the largest burned area. The best model is RF that was able to predict peatland fires in Bengkalis Regency effectively, with achieving an AUC value of 0.972. The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. The accuracy of RF reached 95.07%. The classification results indicated three levels of peatland fire vulnerability in Bengkalis Regency
• Non-Vulnerable: Areas classified as non-vulnerable are regions where the risk of peatland fires is minimal or non-existent.
• Low Vulnerability: These areas have a moderate risk of peatland fires.
• High Vulnerability: Areas with high vulnerability are the most susceptible to peatland fires. |
