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Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data

Mangroves are one of the most productive forest ecosystems and play an important role in carbon storage. We examined the use of Shuttle Radar Topography Mission (SRTM) data to estimate mangrove Above-ground Biomass (AGB) in Sabah, Malaysia. SRTM-DEM can be considered as Canopy Height Model (CHM) bec...

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Main Authors: Charissa J. Wong, Daniel James, Normah A. Besar, Phua, Mui How
Format: Article
Language:English
English
Published: Universiti Malaysia Sabah 2020
Subjects:
QH1-(199.5) General Including nature conservation, geographical distribution
SD1-669.5 Forestry
Online Access:https://eprints.ums.edu.my/id/eprint/30457/1/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data.pdf
https://eprints.ums.edu.my/id/eprint/30457/2/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data1.pdf
https://eprints.ums.edu.my/id/eprint/30457/
http://borneoscience.ums.edu.my/wp-content/uploads/2020/12/BSJ-41-2020-06-ESTIMATING-MANGROVE-ABOVE-GROUND-BIOMASS-AGB-IN-SABAH-MALAYSIA-USING-FIELD-MEASUREMENTS-SHUTTLE-RADAR-TOPOGRAPHY-MISSION-AND-LANDSAT-DATA.pdf
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spelling my.ums.eprints.304572021-09-22T00:36:38Z https://eprints.ums.edu.my/id/eprint/30457/ Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data Charissa J. Wong Daniel James Normah A. Besar Phua, Mui How QH1-(199.5) General Including nature conservation, geographical distribution SD1-669.5 Forestry Mangroves are one of the most productive forest ecosystems and play an important role in carbon storage. We examined the use of Shuttle Radar Topography Mission (SRTM) data to estimate mangrove Above-ground Biomass (AGB) in Sabah, Malaysia. SRTM-DEM can be considered as Canopy Height Model (CHM) because of the flat coastal topography. Nevertheless, we also introduced ground elevation correction using a Digital Terrain Model (DTM) generated with GIS and coastal profile data. We mapped the mangrove forest cover using Landsat imagery acquired in 2015 with the supervised classification method (Kappa coefficient of 0.81). Regression analyses of field AGB and the CHMs resulted in an estimation model with the corrected CHM as the best predictor (R2: 0.73) and cross-validated Root Mean Square Error (RMSE) was 19.70 Mg ha-1 (RMSE%: 11.60). Our study showed Sabah has a mangrove cover of 268,631.91 ha with a total AGB of 44,163,207.07 Mg in 2015. This substantial amount of carbon storage should be monitored over time and managed as part of the climate change mitigation strategy. Universiti Malaysia Sabah 2020-09 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/30457/1/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data.pdf text en https://eprints.ums.edu.my/id/eprint/30457/2/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data1.pdf Charissa J. Wong and Daniel James and Normah A. Besar and Phua, Mui How (2020) Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data. Borneo Science, 41. pp. 22-29. ISSN 1394-4339 http://borneoscience.ums.edu.my/wp-content/uploads/2020/12/BSJ-41-2020-06-ESTIMATING-MANGROVE-ABOVE-GROUND-BIOMASS-AGB-IN-SABAH-MALAYSIA-USING-FIELD-MEASUREMENTS-SHUTTLE-RADAR-TOPOGRAPHY-MISSION-AND-LANDSAT-DATA.pdf
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 QH1-(199.5) General Including nature conservation, geographical distribution
SD1-669.5 Forestry
spellingShingle QH1-(199.5) General Including nature conservation, geographical distribution
SD1-669.5 Forestry
Charissa J. Wong
Daniel James
Normah A. Besar
Phua, Mui How
Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
description Mangroves are one of the most productive forest ecosystems and play an important role in carbon storage. We examined the use of Shuttle Radar Topography Mission (SRTM) data to estimate mangrove Above-ground Biomass (AGB) in Sabah, Malaysia. SRTM-DEM can be considered as Canopy Height Model (CHM) because of the flat coastal topography. Nevertheless, we also introduced ground elevation correction using a Digital Terrain Model (DTM) generated with GIS and coastal profile data. We mapped the mangrove forest cover using Landsat imagery acquired in 2015 with the supervised classification method (Kappa coefficient of 0.81). Regression analyses of field AGB and the CHMs resulted in an estimation model with the corrected CHM as the best predictor (R2: 0.73) and cross-validated Root Mean Square Error (RMSE) was 19.70 Mg ha-1 (RMSE%: 11.60). Our study showed Sabah has a mangrove cover of 268,631.91 ha with a total AGB of 44,163,207.07 Mg in 2015. This substantial amount of carbon storage should be monitored over time and managed as part of the climate change mitigation strategy.
format Article
author Charissa J. Wong
Daniel James
Normah A. Besar
Phua, Mui How
author_facet Charissa J. Wong
Daniel James
Normah A. Besar
Phua, Mui How
author_sort Charissa J. Wong
title Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
title_short Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
title_full Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
title_fullStr Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
title_full_unstemmed Estimating mangrove above-ground biomass (AGB) in Sabah, Malaysia using field measurements, shuttle radar topography mission and Landsat data
title_sort estimating mangrove above-ground biomass (agb) in sabah, malaysia using field measurements, shuttle radar topography mission and landsat data
publisher Universiti Malaysia Sabah
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/30457/1/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data.pdf
https://eprints.ums.edu.my/id/eprint/30457/2/Estimating%20mangrove%20above-ground%20biomass%20%28AGB%29%20in%20Sabah%2C%20Malaysia%20using%20field%20measurements%2C%20shuttle%20radar%20topography%20mission%20and%20Landsat%20data1.pdf
https://eprints.ums.edu.my/id/eprint/30457/
http://borneoscience.ums.edu.my/wp-content/uploads/2020/12/BSJ-41-2020-06-ESTIMATING-MANGROVE-ABOVE-GROUND-BIOMASS-AGB-IN-SABAH-MALAYSIA-USING-FIELD-MEASUREMENTS-SHUTTLE-RADAR-TOPOGRAPHY-MISSION-AND-LANDSAT-DATA.pdf
_version_ 1760230766486224896
score 13.211869

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