Ghazali, Mochamad Firman and Wikantika, Ketut (2021) Pre-assessment of the Potential Dual Polarization Sentinel-1 Data for Mapping the Mangrove Tree Species Distribution in South Bali, Indonesia. In: 7th Asia-Pacific Conference in Synthetic Aperture Radar (APSAR 2021), 1-3 November 2021, Online, Bali.. (In Press)
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Abstract
Behind the needs of the availability for the mangrove trees biodiversity database are important in promoting coastal area protection, includes mangrove forest conservation. This initiative started by mapping mangrove trees distribution by utilizing two different modes of ground detected ranged (GRD) and single look complex (SLC) of Sentinel-1 data images. Both are processed to get the backscatter value, dual-polarization radar vegetation index (DpRVI) and polarization decomposition for entropy, alpha, and anisotropy values for each mangrove trees species (MTS) detection that compared with the data field. Besides that, the distribution of each mangrove tree has been conducted based on its genus and species richness that estimated using a random forest (RF) algorithm for nine different combinations, includes VV, VH, and VV-VH, entropy, alpha, and anisotropy, DpRVI, and the integration of between backscatter value and polarization decomposition. The result has shown a variation in the level of accuracy ranged from weak to moderate at about 26% to 65%. The combination of VV, VH, VH-VV and DpRVI obtained better accuracy at about 65%. Related to the species of mangrove detected, the Avicennia alba becomes a dominant mangrove tree species grown as much as 60% in the study area
| Item Type: | Conference or Workshop Item (Paper) |
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| Uncontrolled Keywords: | Mangrove trees, coastal conservation, random forest, Sentinel-1 |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GE Environmental Sciences S Agriculture > SD Forestry |
| Divisions: | Fakultas Teknik (FT) > Prodi Teknik Geodesi |
| Depositing User: | Mochamad Firman Ghazali |
| Date Deposited: | 06 Nov 2021 02:10 |
| Last Modified: | 06 Nov 2021 02:10 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/35086 |
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