| Issue |
BIO Web Conf.
Volume 220, 2026
The 6th International Conference on Marine Sciences (ICMS 2025)
|
|
|---|---|---|
| Article Number | 05010 | |
| Number of page(s) | 13 | |
| Section | Marine Technology and Innovation | |
| DOI | https://doi.org/10.1051/bioconf/202622005010 | |
| Published online | 11 February 2026 | |
Mapping of shallow marine habitats using Sentinel-2A satellite imagery with OBIA method in Tanjung Kelayang coastal area, Belitung Island
Department of Marine Science and Technology, IPB University, Bogor 16680, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Tanjung Kelayang is vulnerable to ecosystem change driven by human activities and environmental factors. This study aimed to map and analyze changes in benthic habitats using Sentinel-2A imagery from 2019 and 2024 by applying an Object-Based Image Analysis (OBIA) approach combined with a Support Vector Machine (SVM) classifier. The analysis included water column correction using the depth-invariant index (DII), multiresolution segmentation, habitat classification, accuracy assessment, and post-classification change detection. Six benthic habitat classes were identified, namely coral, seagrass, macroalgae, sand, rocks, and coral rubble. The results show a decrease in coral cover of 87.99 ha (19.96%) and a substantial increase in coral rubble of 80.33 ha (87.77%), indicating reef degradation. The classification achieved an Overall Accuracy of 70.97% with a kappa coefficient of 0.61, reflecting a good classification performance. These findings demonstrate that Sentinel-2A imagery combined with the OBIA method is effective for monitoring changes in shallow marine habitats, and supports spatial-based coastal zone management.
Key words: Benthic habitat mapping / habitat change analysis / Object- Based Image Analysis (OBIA) / Sentinel-2A / shallow marine habitat
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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