DISTRIBUSI SPASIAL DAN TEMPORAL KLOROFIL-A MENGGUNAKAN CITRA SATELIT LANDSAT 8 DI MUARA BANYUASIN, SUMATERA SELATAN

ARSYEI, LAKSAMANA FACHRYZAL and Zia Ulqodry, T. and Isnaini, Isnaini (2023) DISTRIBUSI SPASIAL DAN TEMPORAL KLOROFIL-A MENGGUNAKAN CITRA SATELIT LANDSAT 8 DI MUARA BANYUASIN, SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

The Banyuasin Estuary are very dynamic area and usually used for the activities of the surrounding community, thereby affecting changes in water conditions. Chlorophyll-a is one of the primary productivity parameters that can determine water quality. Remote sensing technology can make it easier to get the distribution and concentration of chlorophyll-a in waters. The purpose of this study was to determine the algorithm and test the accuracy of Landsat-8 imagery that is suitable for extracting chlorophyll-a concentrations in the Banyuasin Estuary waters using the Wibowo et al. algorithm. (1994) and Pentury (1997), determined the spatial distribution pattern of chlorophyll-a in field data and image data in the Banyuasin Estuary, and analyzed the distribution of chlorophyll-a in each season in 2022 in the Banyuasin Estuary. This research was held in October to November 2022. The results of this study showed that the validation test between the two algorithms was obtained by the Wibowo et al. (1994) from the linear regression equation (y = 1,4691x - 1,2669) which is more suitable with the R2 of 0.918 and the lowest RMSE of 0,0924. The distribution pattern of chlorophyll-a concentrations in the Banyuasin Estuary between field data and image data shows values that are not much different, with field values ranging from 2.22 – 3.35 mg/m3 while image data is 1,68 – 3,79 mg/m3 . The average concentration in the west season, transition I, east, and transition II in 2022 is 2,41 – 3,71 mg/m3.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Klorofil-a, Citra Landsat 8, Muara Banyuasin, Algoritma Wibowo et al. (1994)
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science.
Divisions:	08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1)
Depositing User:	Laksamana Fachryzal Arsyei
Date Deposited:	21 Jul 2023 07:16
Last Modified:	21 Jul 2023 07:16
URI:	http://repository.unsri.ac.id/id/eprint/119827

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