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Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire

Management of the groundwater table is critical in peatland management. We examined the groundwater level (GWL) and remote sensing data of vegetation indices in Peninsular Malaysia during the northeast monsoon in the months of January, February, and March 2020. The GWL obtained from the Internet of...

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Main Authors: Mohd Razali, Sheriza, Sali, Aduwati, Mohd Ali, Azizi, Lu, Li, Nuruddin, Ahmad Ainuddin
Format: Article
Published: Jabatan Perhutanan Semenanjung Malaysia 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108254/
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spelling my.upm.eprints.1082542024-06-14T07:56:54Z http://psasir.upm.edu.my/id/eprint/108254/ Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire Mohd Razali, Sheriza Sali, Aduwati Mohd Ali, Azizi Lu, Li Nuruddin, Ahmad Ainuddin Management of the groundwater table is critical in peatland management. We examined the groundwater level (GWL) and remote sensing data of vegetation indices in Peninsular Malaysia during the northeast monsoon in the months of January, February, and March 2020. The GWL obtained from the Internet of Things (IoT) system was analysed and profiled based on the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images, normalised difference vegetation index (NDVI), and enhanced vegetation index (EVI). The IoT system is owned by Universiti Putra Malaysia, the Selangor State Forestry Department and National Institute of Information and Communication Technology (NICT). The MODIS high-temperature events were collected as hotspot pixels from satellite images and linked to historical forest fire data. Assessing relationships among GWL, NDVI, and EVI revealed their strong correlations. The NDVI measured at 1-km radius provides a quantifiable early warning that GWL had dropped. Observations of GWL revealed that rainfall fluctuated similarly. Rainfall increased in March, resulting in a higher GWL level, which is undoubtedly useful in monitoring the frequency of fire. The use of hotspot pixels in the study is useful for natural resource managers because it demonstrated a relationship between historical fire occurrences in Klang Valley. Given that forest and natural resource managers have access to all of the climatological assessment and GWL of the IoT data from this study, it can have a significant impact on fire management planning in the peat swamp forest. Jabatan Perhutanan Semenanjung Malaysia 2023 Article PeerReviewed Mohd Razali, Sheriza and Sali, Aduwati and Mohd Ali, Azizi and Lu, Li and Nuruddin, Ahmad Ainuddin (2023) Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire. Malaysian Forester, 86 (2). 227 - 238. ISSN 0302-2935
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Management of the groundwater table is critical in peatland management. We examined the groundwater level (GWL) and remote sensing data of vegetation indices in Peninsular Malaysia during the northeast monsoon in the months of January, February, and March 2020. The GWL obtained from the Internet of Things (IoT) system was analysed and profiled based on the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images, normalised difference vegetation index (NDVI), and enhanced vegetation index (EVI). The IoT system is owned by Universiti Putra Malaysia, the Selangor State Forestry Department and National Institute of Information and Communication Technology (NICT). The MODIS high-temperature events were collected as hotspot pixels from satellite images and linked to historical forest fire data. Assessing relationships among GWL, NDVI, and EVI revealed their strong correlations. The NDVI measured at 1-km radius provides a quantifiable early warning that GWL had dropped. Observations of GWL revealed that rainfall fluctuated similarly. Rainfall increased in March, resulting in a higher GWL level, which is undoubtedly useful in monitoring the frequency of fire. The use of hotspot pixels in the study is useful for natural resource managers because it demonstrated a relationship between historical fire occurrences in Klang Valley. Given that forest and natural resource managers have access to all of the climatological assessment and GWL of the IoT data from this study, it can have a significant impact on fire management planning in the peat swamp forest.
format Article
author Mohd Razali, Sheriza
Sali, Aduwati
Mohd Ali, Azizi
Lu, Li
Nuruddin, Ahmad Ainuddin
spellingShingle Mohd Razali, Sheriza
Sali, Aduwati
Mohd Ali, Azizi
Lu, Li
Nuruddin, Ahmad Ainuddin
Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
author_facet Mohd Razali, Sheriza
Sali, Aduwati
Mohd Ali, Azizi
Lu, Li
Nuruddin, Ahmad Ainuddin
author_sort Mohd Razali, Sheriza
title Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
title_short Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
title_full Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
title_fullStr Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
title_full_unstemmed Identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
title_sort identifying forest fire risk areas using climatological and satellite indices for monitoring peatland fire
publisher Jabatan Perhutanan Semenanjung Malaysia
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108254/
_version_ 1802978792458682368
score 13.244368

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