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PEMANFAATAN CITRA LANDSAT 8 UNTUK ANALISIS PERUBAHAN LUAS DAN KONDISI PADANG LAMUN DI PERAIRAN PULAU WANGI-WANGI DAN PULAU KAPOTA DAERAH KONSERVASI
1)Eka Fauziah, 2)Nurjannah Nurdin, 3)Yayu A. La Nafie, 4)Muh Banda Selamat, 5)Supriadin, 6)M. Rijal Idrus.

Program Studi Magister Ilmu Kelautan, Fakultas Ilmu Kelautan dan Perikanan, Universitas Hasanuddin
*Email: ekafauziah.unhas2022[at]gmail.com


Abstract

Utilization of remote sensing technology can be used to effectively and efficiently map and monitor seagrass beds because they are able to produce information spatially and temporally. The aim of the research is to map changes in seagrass conditions and carbon stocks using Landsat 8 Satellite Imagery data over a period of 2013, 2017 and 2022 in the waters of Wangi-Wangi Island and Kapota Wakatobi Island. This research was conducted using Landsat 8 satellite data with a spatial resolution of 30 m (acquired on October 6, 2023, January 26, 2017, and January 22, 2022). Research methods: (1) Field measurement and laboratory analysis to test the accuracy and measurement of seagrass carbon value- and (2) remote sensing to find out the condition of seagrasses broadly. The second approach also performs image classification which consists of 3 levels, this is based on seagrass composition, namely level 1 which is divided into land, shallow water, and deep sea- level 2 consists of four habitat classes namely benthic coral, seagrass, sand, and rubble- and level 3 is the percent cover of seagrass beds which is also divided into three classes of cover, namely dense, medium and low. The results showed that the 7 species of seagrass in the waters of Wanci Island and Kapota Island, with an overall distribution pattern, were clustered. Data analysis using simple regression analysis, obtained a relatively strong relationship between percent cover and total seagrass biomass, analysis of Landsat 8 imagery in general seagrass has decreased every year.

Keywords: Lamun- Karbon- OBIA- Landsat 8

Topic: Marine and Fisheries Geographic Information System

Plain Format | Corresponding Author (Eka Fauziah)

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