Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B
Seagrass beds are important components of a coastal ecosystem. This ecosystem serves as the primer producers of the water food chain, habitat for marine biota, produces organic carbon, and indirectly contributes to the economic well-being of coastal communities. However, the ecosystem is vulnerable...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Kebangsaan Malaysia
2023
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| Online Access: | http://journalarticle.ukm.my/22079/ http://journalarticle.ukm.my/22079/1/SE%2021.pdf |
| _version_ | 1848815510613917696 |
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| author | Hidayah, Zainul Vieira, Lucas De Oliveira Safitri, Rahma Rachman, Herlambang Aulia As-Syakur, Abdur Rahman |
| author_facet | Hidayah, Zainul Vieira, Lucas De Oliveira Safitri, Rahma Rachman, Herlambang Aulia As-Syakur, Abdur Rahman |
| author_sort | Hidayah, Zainul |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Seagrass beds are important components of a coastal ecosystem. This ecosystem serves as the primer producers of the water food chain, habitat for marine biota, produces organic carbon, and indirectly contributes to the economic well-being of coastal communities. However, the ecosystem is vulnerable to damage caused by natural factors and human activities. The objectives of this study were, firstly to identify the distribution of seagrass beds in Tanjung Benoa using Sentinel 2B satellite imagery and secondly to compare classification results from two different approaches namely pixel-based image classification and object-based image classification. Accuracy-test was carried out using field data reference of 195 sample points in the form of a 10 m X 10 m transect. The image pre-processing process was conducted with Bottom of Atmosphere (BoA) correction using the Dark Object Subtraction (DOS) method. Furthermore, the water column correction was performed using the Depth Invariant Index (DII) and the Lyzenga algorithm. The mapping results showed that the area of seagrass beds in the shallow waters of Tanjung Benoa reaches 242.99 ha. There were seven seagrass species in the study area, with an average cover of 75%. The accuracy of object-based image classification was higher than that of pixel-based classification with a difference up to 25% for six classes classification and 15% for two classes classification. Excellent results for classifying seagrasses based on cover density can be obtained when high-resolution satellite imagery and OBIA are combined with the SVM or Fuzzy Logic algorithm. |
| first_indexed | 2025-11-15T00:51:08Z |
| format | Article |
| id | oai:generic.eprints.org:22079 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:51:08Z |
| publishDate | 2023 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:220792023-08-10T02:05:07Z http://journalarticle.ukm.my/22079/ Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B Hidayah, Zainul Vieira, Lucas De Oliveira Safitri, Rahma Rachman, Herlambang Aulia As-Syakur, Abdur Rahman Seagrass beds are important components of a coastal ecosystem. This ecosystem serves as the primer producers of the water food chain, habitat for marine biota, produces organic carbon, and indirectly contributes to the economic well-being of coastal communities. However, the ecosystem is vulnerable to damage caused by natural factors and human activities. The objectives of this study were, firstly to identify the distribution of seagrass beds in Tanjung Benoa using Sentinel 2B satellite imagery and secondly to compare classification results from two different approaches namely pixel-based image classification and object-based image classification. Accuracy-test was carried out using field data reference of 195 sample points in the form of a 10 m X 10 m transect. The image pre-processing process was conducted with Bottom of Atmosphere (BoA) correction using the Dark Object Subtraction (DOS) method. Furthermore, the water column correction was performed using the Depth Invariant Index (DII) and the Lyzenga algorithm. The mapping results showed that the area of seagrass beds in the shallow waters of Tanjung Benoa reaches 242.99 ha. There were seven seagrass species in the study area, with an average cover of 75%. The accuracy of object-based image classification was higher than that of pixel-based classification with a difference up to 25% for six classes classification and 15% for two classes classification. Excellent results for classifying seagrasses based on cover density can be obtained when high-resolution satellite imagery and OBIA are combined with the SVM or Fuzzy Logic algorithm. Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22079/1/SE%2021.pdf Hidayah, Zainul and Vieira, Lucas De Oliveira and Safitri, Rahma and Rachman, Herlambang Aulia and As-Syakur, Abdur Rahman (2023) Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B. Sains Malaysiana, 52 (4). pp. 1315-1332. ISSN 0126-6039 http://www.ukm.my/jsm/index.html |
| spellingShingle | Hidayah, Zainul Vieira, Lucas De Oliveira Safitri, Rahma Rachman, Herlambang Aulia As-Syakur, Abdur Rahman Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title | Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title_full | Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title_fullStr | Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title_full_unstemmed | Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title_short | Mapping sea grass coverage of Tanjung Benoa Bali using medium resolution satellite imagery sentinel 2B |
| title_sort | mapping sea grass coverage of tanjung benoa bali using medium resolution satellite imagery sentinel 2b |
| url | http://journalarticle.ukm.my/22079/ http://journalarticle.ukm.my/22079/ http://journalarticle.ukm.my/22079/1/SE%2021.pdf |