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All Journal Journal of Marine and Aquatic Sciences Ecotrophic, Journal of Environmental Science
Astaman, I Dewa Made Khrisna Putra
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Earth & Planetary Sciences Environmental Science

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PEMETAAN HABITAT PERAIRAN DANGKAL DI KAWASAN PADAT WISATA TANJUNG BENOA BALI MENGGUNAKAN DATA REMOTE SENSING I Wayan Gede Astawa Karang; I Wayan Matsya Deva Nagendra; I Dewa Made Khrisna Putra Astaman; I Gede Hendrawan
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 13 No 2 (2019)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.795 KB) | DOI: 10.24843/EJES.2019.v13.i02.p10

Abstract

Most of the tourism area are distributed along the coast that intersects directly with those that result in degradation of the ecosystem inside. The southern region of Bali is one region that have experienced rapid development of tourism activities. The expansion of the tourism area in Tanjung Benoa, Bali occurs to coastal areas and directly contact with underwater habitat such as coral reefs and seagrass beds which can damage the underwater ecosystem. The goal of this study is to map shallow water habitat in densely packed tourist areas Tanjung Benoa, Bali using remote sensing technique. Two satellites dataset (Sentinel-2A and Landsat 8) at different spatial and spectral resolutions were tested using Lyzenga algorithm. The maksimun likehood supervised classification is used to classify the underwater objects and accuracy test were then conducted to to evaluate the classification effectiveness. The results showed that there were three types of shallow water habitats in Tanjung Benoa coastal area, such as dead coral, seagrass, and sand. The accuracy test showed Sentinel-2A images with an overall accuracy of 80,00% and kappa accuracy of 59.27%. had higher accuracy than Landsat 8 images with an overall accuracy of 68,29% and kappa accuracy of 35,43%. Keywords: Remote Sensing; Shallow Water Habitat; Tanjung Benoa; Sentinel-2 A; Landsat 8
Pemetaan Habitat Dasar Perairan Dangkal Menggunakan Citra Satelit SPOT-7 di Pulau Nusa Lembongan, Bali I Dewa Made Krisna Putra Astaman; I Wayan Gede Astawa Karang; I Gede Hendrawan; Kuncoro Teguh Setiawan
Journal of Marine and Aquatic Sciences Vol 7 No 2 (2021)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2021.v07.i02.p07

Abstract

Shallow water habitat is one of the regions that has high dynamics and has an important role are ecologically and economically. The high dynamics of the ideal shallow water habitat is always followed by updating information so that an overview of the area is obtained in accordance with reality. Remote sensing technology is one of the technologies that can be used for mapping natural resource studies such as mapping of shallow water habitats with the satellite imagery. This study aims to map the distribution of shallow water habitats using SPOT-7 satellite imagery on Nusa Lembongan Island, Bali and test the level of accuracy. The method used true color composite and DII (Depth Invariant Index) transformation and uses the maximum likelihood classification. The classification scheme used 6 classes, namely sand, seagrass, macro algae, rubble, live coral, and dead coral. The results of this study indicate the distribution of shallow water habitat on Nusa Lembongan Island, Bali spread equally based on the level of water depth with a total area of shallow water habitat of 453.41 ha. The results of mapping accuracy test showed the overall accuracy of the DII transformation classification results is better than the composite image classification results with an overall accuracy of 75.43% and a kappa coefficient is 0.71. So from these results can be said that used of a water column correction with the DII method can improve image accuracy in mapping shallow water habitats.
Co-Authors I Gede Hendrawan I Wayan Gede Astawa Karang I Wayan Matsya Deva Nagendra Kuncoro Teguh Setiawan