ISSN: 2578-4994
Authors: Gun Mardiatmoko*
Mangrove forest are known to play a pivotal role in supporting the global carbon cycle by effectively mitigating greenhouse emissions and reducing the impact of climate change. However, the current conditions have increased concerns due to the escalating degradation of these ecosystems for development purposes. An area of particular concern is Tanjung Lalansoi, Osi Island, Eti Village, West Seram District. This region has the potential to harbor mangrove forest to store Biomass and Carbon. To address these environmental challenges, the use of remote sensing technology using Unmanned Aerial Vehicle (UAV) hold great potential due to its advantages. These include its cost-effectiveness and ability to provide spatial and up-todate data with high resolution. Therefore, this study aims to assess the ability of UAV to map mangrove forest, analyze Objectbased UAV imagery (ACUBO), as well as determine the relationship between tree height and diameter in the field and on UAV. Field surveys were carried out to obtain data on mangrove species and other supporting vegetation parameters, such as tree height and diameter. The results were used to perform accuracy tests between objects on UAV and in the field, as well as the calculation of biomass reserve and carbon content in the study area. The results on ACUBO for mangrove species showed an Overall Accuracy of 92.98%, with Producer Accuracy of 78%, 97%, 96.63%, and 85% in B. gymnorrhiza, C. tagal, R. stylosa, and R. apiculta, respectively. Meanwhile, User Accuracy of 88.89%, 97.73%, 73%, and 85.92% was obtained in B. gymnorrhiza, C. tagal, R. stylosa, and R. apiculata, respectively. This study revealed that there was a close relationship between tree height in UAV and the field, as shown in the regression equation Y = 0.0386 + 1.135X with R2 = 0.90. There was also a close association between the diameter in UAV and the field, and this was indicated by the regression equation Y = 4.638 +0.5588 X with R2 = 0.87.
Keywords: Mangrove; Unmanned Aerial Vehicle; Above Ground Biomass; DSM; DTM
