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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| Format: | Article |
| Language: | English English |
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2020
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| 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 |
| _version_ | 1825714013631152128 |
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| 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 |
| collection | UMS |
| 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. |
| first_indexed | 2024-03-06T03:05:28Z |
| format | Article |
| id | ums.eprints-26430 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:05:28Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| topic | Q Science (General) QK Botany |
| 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 |
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