Ms. Jennifer Wijaya Profile

Jennifer Wijaya

at Univ. Gadjah Mada

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Proceedings Article | 29 January 2024 Paper

Lifeform-based seagrass species composition mapping of Pari Island using WorldView-2 multispectral imagery

Jennifer Wijaya, Pramaditya Wicaksono

Proceedings Volume 12977, 129770Y (2024) https://doi.org/10.1117/12.3009770

KEYWORDS: Image segmentation, Random forests, Ecosystems, Water, Remote sensing, Image classification, Education and training, Multispectral imaging, Image processing

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Seagrass beds play a crucial role in coastal ecosystems, providing various ecosystems services that are unique to each seagrass species. It is important to have spatial information on the composition of seagrass species in order to effectively manage and utilize seagrass beds. Unfortunately, the lack of such data hinders the optimal management of seagrass beds in Indonesia, as exemplified by the case of Pari Island in the Thousand Islands. To address this issue, WorldView-2 imagery, a multispectral remote sensing image with high spatial and spectral resolution, can be utilized to map composition of seagrass species. Therefore, the objectives of this study were twofold: (1) to map the composition of seagrass species and (2) to assess the accuracy of the resulting seagrass species composition map for selected areas of Pari Island, using WorldView-2 imagery. To achieve these objectives, a combination of image segmentation approaches and multispectral classification employing the random forest algorithm was employed. The findings revealed that the seagrass species composition in the designated areas of Pari Island, based on a life-form classification scheme, comprised Enhalus acoroides (Ea) covering an area of 0.04 km², Enhalus acoroides-Thalassia hemprichii (EaTh) covering 0.21 km², and Thalassia hemprichii-Cymodocea rotundata (ThCr) covering 0.28 km². The overall accuracy (OA) of the seagrass species composition map was determined to be 60.76%.

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