Pre-assessment of the Potential of Dual Polarization of Sentinel 1 Data for Mapping the Mangrove Tree Species Distribution in South Bali, Indonesia

Behind the needs of the availability for the mangrove trees biodiversity database are important in promoting coastal area protection, including 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-l 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, including 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 ranging 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.