Assessing the Capability of Sentinel-2A Data for Mapping Seagrass Percent Cover in Jerowaru, East Lombok
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Muhammad Afif Fauzan(1*), Ignatius S. W. Kumara(2), Rifka N. Yogyantoro(3), Satrio W. Suwardana(4), Nurul Fadhilah(5), Intansania Nurmalasari(6), Santi Apriyani(7), Pramaditya Wicaksono(8)
(1) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(2) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(3) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(4) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(5) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(6) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(7) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(8) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(*) Corresponding Author
Abstract
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.
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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)
ISSN 2354-9114 (online), ISSN 0024-9521 (print)