Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery
Benthic habitats in coastal areas are composed of diverse organisms and substrates such as seaweed, seagrass, algae, hard corals, dead corals, rock, and rubble. Understanding their distribution is essential for effective marine spatial planning and conservation. This study aimed to assess benthic ha...
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| Format: | Article |
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EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/19/bioconf_isoss2024_05014.pdf |
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| author | Fakhrurrozi Idris Rizan Ardiansyah Mohammad Bagus Muttaqin Andik Dwi Mauludiyah |
| author_facet | Fakhrurrozi Idris Rizan Ardiansyah Mohammad Bagus Muttaqin Andik Dwi Mauludiyah |
| author_sort | Fakhrurrozi |
| collection | DOAJ |
| description | Benthic habitats in coastal areas are composed of diverse organisms and substrates such as seaweed, seagrass, algae, hard corals, dead corals, rock, and rubble. Understanding their distribution is essential for effective marine spatial planning and conservation. This study aimed to assess benthic habitat distribution around Tunda Island using Sentinel-2A satellite imagery and evaluate the classification accuracy. Field data were collected from March 5 to 7, 2024, using the photo transect method to identify key benthic classes. Image classification was performed using a Random Forest classifier, and accuracy was evaluated through a confusion matrix. The analysis identified four main benthic habitat classes: rock, rubble, seagrass, and hard coral. Habitat distribution generally followed a pattern across all stations—rock and rubble nearshore, transitioning to seagrass and hard coral further offshore. The areal coverage for each class was estimated as rock (31.89 ha), hard coral (31.29 ha), rubble (21.34 ha), and seagrass (11.99 ha). The classification achieved an overall accuracy of 69.86%, indicating that Sentinel-2A imagery combined with Random Forest classification holds promise for mapping benthic habitats in coastal environments like Tunda Island. |
| format | Article |
| id | doaj-art-03f35aa2b5844accbe80eb574f9b3a97 |
| institution | DOAJ |
| issn | 2117-4458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-03f35aa2b5844accbe80eb574f9b3a972025-08-20T03:08:47ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011680501410.1051/bioconf/202516805014bioconf_isoss2024_05014Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imageryFakhrurrozi0Idris1Rizan Ardiansyah Mohammad Bagus2Muttaqin Andik Dwi3Mauludiyah4Indonesian Coral Reef Foundation (Yayasan TERANGI)Indonesian Coral Reef Foundation (Yayasan TERANGI)Department of Marine Science, Faculty of Science and Technology State Islamic, Universitas Islam Negeri Sunan Ampel SurabayaDepartment of Marine Science, Faculty of Science and Technology State Islamic, Universitas Islam Negeri Sunan Ampel SurabayaDepartment of Marine Science, Faculty of Science and Technology State Islamic, Universitas Islam Negeri Sunan Ampel SurabayaBenthic habitats in coastal areas are composed of diverse organisms and substrates such as seaweed, seagrass, algae, hard corals, dead corals, rock, and rubble. Understanding their distribution is essential for effective marine spatial planning and conservation. This study aimed to assess benthic habitat distribution around Tunda Island using Sentinel-2A satellite imagery and evaluate the classification accuracy. Field data were collected from March 5 to 7, 2024, using the photo transect method to identify key benthic classes. Image classification was performed using a Random Forest classifier, and accuracy was evaluated through a confusion matrix. The analysis identified four main benthic habitat classes: rock, rubble, seagrass, and hard coral. Habitat distribution generally followed a pattern across all stations—rock and rubble nearshore, transitioning to seagrass and hard coral further offshore. The areal coverage for each class was estimated as rock (31.89 ha), hard coral (31.29 ha), rubble (21.34 ha), and seagrass (11.99 ha). The classification achieved an overall accuracy of 69.86%, indicating that Sentinel-2A imagery combined with Random Forest classification holds promise for mapping benthic habitats in coastal environments like Tunda Island.https://www.bio-conferences.org/articles/bioconf/pdf/2025/19/bioconf_isoss2024_05014.pdf |
| spellingShingle | Fakhrurrozi Idris Rizan Ardiansyah Mohammad Bagus Muttaqin Andik Dwi Mauludiyah Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery BIO Web of Conferences |
| title | Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery |
| title_full | Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery |
| title_fullStr | Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery |
| title_full_unstemmed | Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery |
| title_short | Assessing benthic habitat distribution in Tunda Island, Banten, Indonesia using Sentinel-2A imagery |
| title_sort | assessing benthic habitat distribution in tunda island banten indonesia using sentinel 2a imagery |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2025/19/bioconf_isoss2024_05014.pdf |
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