Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability

The assessment of environmental sustainability is of utmost importance for the forests and plantations in Borneo, given the critical need for environmental protection through the identification and mitigation of potential risks. This study was conducted to assess the environmental sustainability of...

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Published in:Frontiers in Forests and Global Change
Main Author: Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
Format: Article
Language:English
Published: Frontiers Media SA 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198728956&doi=10.3389%2fffgc.2024.1337535&partnerID=40&md5=b9801304fcddf6d60d7d537b6482b3ea
id 2-s2.0-85198728956
spelling 2-s2.0-85198728956
Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
2024
Frontiers in Forests and Global Change
7

10.3389/ffgc.2024.1337535
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198728956&doi=10.3389%2fffgc.2024.1337535&partnerID=40&md5=b9801304fcddf6d60d7d537b6482b3ea
The assessment of environmental sustainability is of utmost importance for the forests and plantations in Borneo, given the critical need for environmental protection through the identification and mitigation of potential risks. This study was conducted to assess the environmental sustainability of tropical forest and plantations landscape, a case study in northern Sabah, Malaysian Borneo. Applications of the latest high-resolution multi-sensor remote sensing and geospatial MCDA are cost-effective and useful for large-scale environmental sustainability assessment. The land use land cover (LULC) of the study area was mapped with synergistic use of Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical and high-resolution PlanetScope satellite imageries, resulting in overall accuracy of 87.24%. Five sustainability indicator layers: slope erosion protection, river buffer, landscape connectivity and quality, high conservation value (HCV), and water turbidity were developed from the LULC map, ancillary datasets of SRTM, and forest operation basemap with reference to standards from the Environment Protection Department (EPD), Roundtable on Sustainable Palm Oil (RSPO), and Forest Management Plan (FMP) for the analysis using multi-criteria decision analysis (MCDA) model. The results revealed that overall, the study areas are in the high sustainability category at 61%, medium at 31%, and low at only 8%. We analyzed the environmental sustainability of five land use boundaries, and the results showed that Industrial Tree Plantations (ITP) and Village Reserve are mostly in the high category. Meanwhile, oil palm plantations, rubber plantations, and forest reserve (FR) are the majority in the medium category. Both oil palm and rubber plantations are a majority in the medium class due to monocropping land use type having low landscape connectivity and quality individual sustainability indicator layer. The study presented the concept of use of multi-sensor remote sensing for LULC mapping with geospatial MCDA for environmental sustainability assessment useful to stakeholders for improving the management plan also contributing toward the progress of achieving UNSDGs and addressing REDD+. Copyright © 2024 Suab, Supe, Louw, Korom, Rakib, Wong, Kemarau and Avtar.
Frontiers Media SA
2624893X
English
Article
All Open Access; Gold Open Access
author Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
spellingShingle Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
author_facet Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
author_sort Suab S.A.; Supe H.; Louw A.S.; Korom A.; Rakib M.R.M.; Wong Y.B.; Kemarau R.A.; Avtar R.
title Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
title_short Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
title_full Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
title_fullStr Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
title_full_unstemmed Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
title_sort Assessing Borneo’s tropical forests and plantations: a multi-sensor remote sensing and geospatial MCDA approach to environmental sustainability
publishDate 2024
container_title Frontiers in Forests and Global Change
container_volume 7
container_issue
doi_str_mv 10.3389/ffgc.2024.1337535
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198728956&doi=10.3389%2fffgc.2024.1337535&partnerID=40&md5=b9801304fcddf6d60d7d537b6482b3ea
description The assessment of environmental sustainability is of utmost importance for the forests and plantations in Borneo, given the critical need for environmental protection through the identification and mitigation of potential risks. This study was conducted to assess the environmental sustainability of tropical forest and plantations landscape, a case study in northern Sabah, Malaysian Borneo. Applications of the latest high-resolution multi-sensor remote sensing and geospatial MCDA are cost-effective and useful for large-scale environmental sustainability assessment. The land use land cover (LULC) of the study area was mapped with synergistic use of Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical and high-resolution PlanetScope satellite imageries, resulting in overall accuracy of 87.24%. Five sustainability indicator layers: slope erosion protection, river buffer, landscape connectivity and quality, high conservation value (HCV), and water turbidity were developed from the LULC map, ancillary datasets of SRTM, and forest operation basemap with reference to standards from the Environment Protection Department (EPD), Roundtable on Sustainable Palm Oil (RSPO), and Forest Management Plan (FMP) for the analysis using multi-criteria decision analysis (MCDA) model. The results revealed that overall, the study areas are in the high sustainability category at 61%, medium at 31%, and low at only 8%. We analyzed the environmental sustainability of five land use boundaries, and the results showed that Industrial Tree Plantations (ITP) and Village Reserve are mostly in the high category. Meanwhile, oil palm plantations, rubber plantations, and forest reserve (FR) are the majority in the medium category. Both oil palm and rubber plantations are a majority in the medium class due to monocropping land use type having low landscape connectivity and quality individual sustainability indicator layer. The study presented the concept of use of multi-sensor remote sensing for LULC mapping with geospatial MCDA for environmental sustainability assessment useful to stakeholders for improving the management plan also contributing toward the progress of achieving UNSDGs and addressing REDD+. Copyright © 2024 Suab, Supe, Louw, Korom, Rakib, Wong, Kemarau and Avtar.
publisher Frontiers Media SA
issn 2624893X
language English
format Article
accesstype All Open Access; Gold Open Access
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