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Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images

Mangrove forests are highly productive ecosystems and play an important role in the global carbon cycle. We used Shuttle Radar Topography Mission (SRTM) elevation data to estimate mangrove above-ground biomass (AGB) in Sabah, Malaysian northern Borneo. We developed a tree-level approach to deal with...

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Main Authors: Charissa J. Wong, Daniel James, Normah Awang Besar, Kamlisa Uni Kamlun, Joseph Tangah, Satoshi Tsuyuki, Phua, Mui How
Format: Article
Language:English
English
Published: 2020
Subjects:
Q Science (General)
QK Botany
Online Access:https://eprints.ums.edu.my/id/eprint/26430/1/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images.pdf
https://eprints.ums.edu.my/id/eprint/26430/2/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images1.pdf
https://eprints.ums.edu.my/id/eprint/26430/
http://dx.doi.org/10.3390/f11091018
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spelling my.ums.eprints.264302021-01-06T13:42:17Z https://eprints.ums.edu.my/id/eprint/26430/ Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images Charissa J. Wong Daniel James Normah Awang Besar Kamlisa Uni Kamlun Joseph Tangah Satoshi Tsuyuki Phua, Mui How Q Science (General) QK Botany Mangrove forests are highly productive ecosystems and play an important role in the global carbon cycle. We used Shuttle Radar Topography Mission (SRTM) elevation data to estimate mangrove above-ground biomass (AGB) in Sabah, Malaysian northern Borneo. We developed a tree-level approach to deal with the substantial temporal discrepancy between the SRTM data and the mangrove’s field measurements. We predicted the annual growth of diameter at breast height and adjusted the field measurements to the SRTM data acquisition year to estimate the field AGB. A canopy height model (CHM) was derived by correcting the SRTM data with ground elevation. Regression analyses between the estimated AGB and SRTM CHM produced an estimation model (R2 : 0.61) with a root mean square error (RMSE) of 8.24 Mg ha−1 (RMSE%: 5.47). We then quantified the mangrove forest loss based on supervised classification of multitemporal Landsat images. More than 25,000 ha of mangrove forest had disappeared between 2000 and 2015. This has resulted in a significant decrease of about 3.96 million Mg of mangrove AGB in Sabah during the study period. As SRTM elevation data has a near-global coverage, this approach can be used to map the historical AGB of mangroves, especially in Southeast Asia, to promote mangrove carbon stock conservation. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/26430/1/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images.pdf text en https://eprints.ums.edu.my/id/eprint/26430/2/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images1.pdf Charissa J. Wong and Daniel James and Normah Awang Besar and Kamlisa Uni Kamlun and Joseph Tangah and Satoshi Tsuyuki and Phua, Mui How (2020) Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images. Forests, 11 (1018). pp. 1-15. ISSN 1999-4907 http://dx.doi.org/10.3390/f11091018
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q Science (General)
QK Botany
spellingShingle Q Science (General)
QK Botany
Charissa J. Wong
Daniel James
Normah Awang Besar
Kamlisa Uni Kamlun
Joseph Tangah
Satoshi Tsuyuki
Phua, Mui How
Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
description Mangrove forests are highly productive ecosystems and play an important role in the global carbon cycle. We used Shuttle Radar Topography Mission (SRTM) elevation data to estimate mangrove above-ground biomass (AGB) in Sabah, Malaysian northern Borneo. We developed a tree-level approach to deal with the substantial temporal discrepancy between the SRTM data and the mangrove’s field measurements. We predicted the annual growth of diameter at breast height and adjusted the field measurements to the SRTM data acquisition year to estimate the field AGB. A canopy height model (CHM) was derived by correcting the SRTM data with ground elevation. Regression analyses between the estimated AGB and SRTM CHM produced an estimation model (R2 : 0.61) with a root mean square error (RMSE) of 8.24 Mg ha−1 (RMSE%: 5.47). We then quantified the mangrove forest loss based on supervised classification of multitemporal Landsat images. More than 25,000 ha of mangrove forest had disappeared between 2000 and 2015. This has resulted in a significant decrease of about 3.96 million Mg of mangrove AGB in Sabah during the study period. As SRTM elevation data has a near-global coverage, this approach can be used to map the historical AGB of mangroves, especially in Southeast Asia, to promote mangrove carbon stock conservation.
format Article
author Charissa J. Wong
Daniel James
Normah Awang Besar
Kamlisa Uni Kamlun
Joseph Tangah
Satoshi Tsuyuki
Phua, Mui How
author_facet Charissa J. Wong
Daniel James
Normah Awang Besar
Kamlisa Uni Kamlun
Joseph Tangah
Satoshi Tsuyuki
Phua, Mui How
author_sort Charissa J. Wong
title Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
title_short Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
title_full Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
title_fullStr Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
title_full_unstemmed Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images
title_sort estimating mangrove above-ground biomass loss due to deforestation in malaysian northern borneo between 2000 and 2015 using srtm and landsat images
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/26430/1/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images.pdf
https://eprints.ums.edu.my/id/eprint/26430/2/Estimating%20Mangrove%20Above-Ground%20Biomass%20Loss%20Due%20to%20Deforestation%20in%20Malaysian%20Northern%20Borneo%20between%202000%20and%202015%20Using%20SRTM%20and%20Landsat%20Images1.pdf
https://eprints.ums.edu.my/id/eprint/26430/
http://dx.doi.org/10.3390/f11091018
_version_ 1760230498046574592
score 13.211869

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