Shallow sea waters habitat mapping in 2018 and 2022 using Sentinel-2 Imagery with OBIA Method at Kelapa Dua Island, Seribu Island, Jakarta Province, Indonesia

• Published in: IOP conference series. Earth and environmental science 2023-10, Vol.1251 (1), p.12065
• Main Authors: Panjaitan, J P, Hamidah, M
• Format: Article
• Language: English
• Subjects: Algae; Classification; Habitats; Image acquisition; Image analysis; Image classification; Image processing; Image segmentation; Mapping; OBIA; Remote sensing; Sand; shallow sea water habitat
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/1251/1/012065

Shallow sea habitat has a very important role as a place to live and shelter for various types of organisms. Mapping this area needs to be done regularly considering the many benefits it has and the tendency for this area to change, one of them is by using remote sensing technology with the object-based image analysis (OBIA) method. OBIA classification includes the process of image segmentation and classification of all segmentation results. In the segmentation process using scale 100 at level 1 and scale 10 at level 2. Furthermore, at the classification process, 6 (six) habitat classes are obtained, namely sand, coral, macroalgae, sea grass, rubble and dead coral algae. The overall accuracy value in 2018 showed a value of 70%, and in 2022, it showed a value of 70.77%. The kappa coefficient value is 0.617 in the 2018 image acquisition and 0.612 in the 2022 image acquisition. The analysis carried out showed that there was a change in each habitat with the habitat that experienced the greatest changes are sand and dead coral algae class.