Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water
These Mapping and estimation of seagrass total above-ground carbon (STAGC) using satellite-based techniques are required to fast-track the achievement of the 2020 agenda on Sustainable Development Goals (SDG) 14th. This attainment is possible as seagrass habitats provide a critical coastal ecosystem...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2019
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| Online Access: | http://eprints.utm.my/91845/1/MazlanHashim2019_SatelliteBasedMapping.pdf |
| _version_ | 1796865307999993856 |
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| author | Sani, D. A. Hashim, M. |
| author_facet | Sani, D. A. Hashim, M. |
| author_sort | Sani, D. A. |
| collection | ePrints |
| description | These Mapping and estimation of seagrass total above-ground carbon (STAGC) using satellite-based techniques are required to fast-track the achievement of the 2020 agenda on Sustainable Development Goals (SDG) 14th. This attainment is possible as seagrass habitats provide a critical coastal ecosystem for storing blue carbon stock, sediment accumulation, fisheries production and stabilisation of coastal environment. However, seagrasses are generally declining across the globe due to anthropogenic disturbance, resulting in a prolonged growth rate of seagrasses that varies according to the species compositions. Therefore, this study aims at mapping and estimation of seagrass total above-ground carbon (STAGC) using Landsat ETM+ in the coastline of Penang. These satellite images were calibrated with Bottom Reflected Index (BRI) and Depth Invariant Index (DII) to compare the estimate of the STAGC for more accuracy. The leaving radiances of the seagrass were correlated with the corresponding in-situ measurements to predict seagrass carbon. This established relationship with BRI image shown a healthy correlation with STAGB (R2 Combining double low line 0.992, p ≤ 0.001). Whereas the STAGB versus DII relationship has less accuracy (R2 Combining double low line 0.955, p ≤ 0.01), adjusted R2 Combining double low line 0.980 and 0.978 were recorded for both BRI and DII STAGC estimate using the logistic model. Therefore, careful management of blue carbon stock is essential, as this study shall contribute to achieving targets 14.2 and 14.5 of SDG 14th by the United Nations. |
| first_indexed | 2024-03-05T20:55:00Z |
| format | Conference or Workshop Item |
| id | utm.eprints-91845 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:55:00Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | utm.eprints-918452021-07-28T08:48:09Z http://eprints.utm.my/91845/ Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water Sani, D. A. Hashim, M. G109.5 Global Positioning System These Mapping and estimation of seagrass total above-ground carbon (STAGC) using satellite-based techniques are required to fast-track the achievement of the 2020 agenda on Sustainable Development Goals (SDG) 14th. This attainment is possible as seagrass habitats provide a critical coastal ecosystem for storing blue carbon stock, sediment accumulation, fisheries production and stabilisation of coastal environment. However, seagrasses are generally declining across the globe due to anthropogenic disturbance, resulting in a prolonged growth rate of seagrasses that varies according to the species compositions. Therefore, this study aims at mapping and estimation of seagrass total above-ground carbon (STAGC) using Landsat ETM+ in the coastline of Penang. These satellite images were calibrated with Bottom Reflected Index (BRI) and Depth Invariant Index (DII) to compare the estimate of the STAGC for more accuracy. The leaving radiances of the seagrass were correlated with the corresponding in-situ measurements to predict seagrass carbon. This established relationship with BRI image shown a healthy correlation with STAGB (R2 Combining double low line 0.992, p ≤ 0.001). Whereas the STAGB versus DII relationship has less accuracy (R2 Combining double low line 0.955, p ≤ 0.01), adjusted R2 Combining double low line 0.980 and 0.978 were recorded for both BRI and DII STAGC estimate using the logistic model. Therefore, careful management of blue carbon stock is essential, as this study shall contribute to achieving targets 14.2 and 14.5 of SDG 14th by the United Nations. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/91845/1/MazlanHashim2019_SatelliteBasedMapping.pdf Sani, D. A. and Hashim, M. (2019) Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water. In: 6th International Conference on Geomatics and Geospatial Technology, GGT 2019, 1-3 Oct 2019, Kuala Lumpur, Malaysia. http://www.dx.doi.org/10.5194/isprs-archives-XLII-4-W16-587-2019 |
| spellingShingle | G109.5 Global Positioning System Sani, D. A. Hashim, M. Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title | Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title_full | Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title_fullStr | Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title_full_unstemmed | Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title_short | Satellite-based mapping of above-ground blue carbon storage in seagrass habitat within the shallow coastal water |
| title_sort | satellite based mapping of above ground blue carbon storage in seagrass habitat within the shallow coastal water |
| topic | G109.5 Global Positioning System |
| url | http://eprints.utm.my/91845/1/MazlanHashim2019_SatelliteBasedMapping.pdf |
| work_keys_str_mv | AT sanida satellitebasedmappingofabovegroundbluecarbonstorageinseagrasshabitatwithintheshallowcoastalwater AT hashimm satellitebasedmappingofabovegroundbluecarbonstorageinseagrasshabitatwithintheshallowcoastalwater |