Nurul Fadhilah
Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

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Assessing the Capability of Sentinel-2A Data for Mapping Seagrass Percent Cover in Jerowaru, East Lombok Muhammad Afif Fauzan; Ignatius S. W. Kumara; Rifka N. Yogyantoro; Satrio W. Suwardana; Nurul Fadhilah; Intansania Nurmalasari; Santi Apriyani; Pramaditya Wicaksono
Indonesian Journal of Geography Vol 49, No 2 (2017): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2087.045 KB) | DOI: 10.22146/ijg.28407


Remote sensing technology has been widely used in various applications related to natural resources and environment monitoring. In this paper, we evaluated the capability of new Sentinel-2A image to map the distribution and percent cover of seagrass in optically shallow water of Jerowaru coastal area, East Lombok. Seagrass distribution map was produced from radiometrically and geometrically corrected Sentinel-2A image with overall accuracy of 61.9%. Using empirical model, seagrass percent cover was predicted with maximum coefficient of determination (R2) of 0.51 and standard error of estimate (SE) of 19.4%. The results suggest that Sentinel-2A image can be used to perform seagrass mapping time and cost-effectively and can be further improved by incorporating more robust empirical modeling technique.