Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan
Benthic habitats are important for the quality of life and global climate. Systematic and efficient information is important for the monitoring, mapping, and recording of aquatic bottom habitats, thus providing a habitat database. In the last decade, object-based image analysis (OBIA) has been accep...
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| Language: | English |
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Politeknik Negeri Batam
2025-01-01
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| Series: | Journal of Applied Geospatial Information |
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| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAGI/article/view/8705 |
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| author | Zan Zibar Robin Saputra Adityo Raynaldo Supriyatno Supriyatno |
| author_facet | Zan Zibar Robin Saputra Adityo Raynaldo Supriyatno Supriyatno |
| author_sort | Zan Zibar |
| collection | DOAJ |
| description | Benthic habitats are important for the quality of life and global climate. Systematic and efficient information is important for the monitoring, mapping, and recording of aquatic bottom habitats, thus providing a habitat database. In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. Our study's goal is to use WebGIS to combine coral reef monitoring data from Lemukutan Island and find out how much coral cover there is on the island using the smart island WebGIS. This study took place from August 6th to August 13th, 2024, and used a total of 1097 field points to show where all the benthic habitats and Sentinel 2A image data sources were located. The research results obtained the extent of shallow water benthic habitat classification with different variations in each habitat class. The Rock Class covers an area of 41,940 ha, the mixed class 2,409 ha, the coral class 130,340 ha, the dead coral class 49,249 ha, the macroalgae class 2,840 ha, and the sand class 12,140 ha. The overall accuracy (OA) results for the waters of Lemukutan Island obtained the highest value, namely 89.5833%, using the SVM algorithm. Regular monitoring of coral reefs can help update Lemukutan Island Smart Island data to become a catalyst in realizing a smart island ecosystem in West Kalimantan Province by presenting benthic habitat maps through web GIS services and realizing technology development for coastal areas and small islands. |
| format | Article |
| id | doaj-art-31774057dc7f48c1859b4f9d2f67d1a3 |
| institution | Kabale University |
| issn | 2579-3608 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Politeknik Negeri Batam |
| record_format | Article |
| series | Journal of Applied Geospatial Information |
| spelling | doaj-art-31774057dc7f48c1859b4f9d2f67d1a32025-01-23T09:22:55ZengPoliteknik Negeri BatamJournal of Applied Geospatial Information2579-36082025-01-018213313910.30871/jagi.v8i2.87058705Web GIS Based Benthic Habitat Mapping Update Supports Smart Island LemukutanZan Zibar0Robin Saputra1Adityo Raynaldo2Supriyatno Supriyatno3Study Program of Marine Science – Faculty of Natural Science and Marine – OSO University, West Kalimantan, IndonesiaStudy Program of Marine Science – Faculty of Natural Science and Marine – OSO University, West Kalimantan, IndonesiaStudy Program of Biology – Faculty of Natural Science and Marine – OSO University, West Kalimantan, IndonesiaTechnology and Information Technical Implementation Unit – OSO University, West Kalimantan, IndonesiaBenthic habitats are important for the quality of life and global climate. Systematic and efficient information is important for the monitoring, mapping, and recording of aquatic bottom habitats, thus providing a habitat database. In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. Our study's goal is to use WebGIS to combine coral reef monitoring data from Lemukutan Island and find out how much coral cover there is on the island using the smart island WebGIS. This study took place from August 6th to August 13th, 2024, and used a total of 1097 field points to show where all the benthic habitats and Sentinel 2A image data sources were located. The research results obtained the extent of shallow water benthic habitat classification with different variations in each habitat class. The Rock Class covers an area of 41,940 ha, the mixed class 2,409 ha, the coral class 130,340 ha, the dead coral class 49,249 ha, the macroalgae class 2,840 ha, and the sand class 12,140 ha. The overall accuracy (OA) results for the waters of Lemukutan Island obtained the highest value, namely 89.5833%, using the SVM algorithm. Regular monitoring of coral reefs can help update Lemukutan Island Smart Island data to become a catalyst in realizing a smart island ecosystem in West Kalimantan Province by presenting benthic habitat maps through web GIS services and realizing technology development for coastal areas and small islands.https://jurnal.polibatam.ac.id/index.php/JAGI/article/view/8705mapping, benthic habitat, webgis, smart island lemukutan |
| spellingShingle | Zan Zibar Robin Saputra Adityo Raynaldo Supriyatno Supriyatno Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan Journal of Applied Geospatial Information mapping, benthic habitat, webgis, smart island lemukutan |
| title | Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan |
| title_full | Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan |
| title_fullStr | Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan |
| title_full_unstemmed | Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan |
| title_short | Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan |
| title_sort | web gis based benthic habitat mapping update supports smart island lemukutan |
| topic | mapping, benthic habitat, webgis, smart island lemukutan |
| url | https://jurnal.polibatam.ac.id/index.php/JAGI/article/view/8705 |
| work_keys_str_mv | AT zanzibar webgisbasedbenthichabitatmappingupdatesupportssmartislandlemukutan AT robinsaputra webgisbasedbenthichabitatmappingupdatesupportssmartislandlemukutan AT adityoraynaldo webgisbasedbenthichabitatmappingupdatesupportssmartislandlemukutan AT supriyatnosupriyatno webgisbasedbenthichabitatmappingupdatesupportssmartislandlemukutan |