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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| Format: | Article |
| Language: | English English |
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Universiti Malaysia Sabah
2020
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| 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 |
| _version_ | 1796910864235757568 |
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| 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 |
| collection | UMS |
| 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. |
| first_indexed | 2024-03-06T03:10:37Z |
| format | Article |
| id | ums.eprints-30457 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:10:37Z |
| publishDate | 2020 |
| publisher | Universiti Malaysia Sabah |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| topic | QH1-(199.5) General Including nature conservation, geographical distribution SD1-669.5 Forestry |
| 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 |
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