Estimation of Sea Surface Salinity Concentration from Landsat 8 OLI Data in The Strait of Madura, Indonesia

Muhsi, M and Sukojo, BMS and Taufik, AT and Aji, PA and Jaelani, LMJ (2022) Estimation of Sea Surface Salinity Concentration from Landsat 8 OLI Data in The Strait of Madura, Indonesia. Jurnal Forum Geografi, 36 (2). ISSN 0852-0682

WarningThere is a more recent version of this item available.
[img] Text
Artikel sinta 2.pdf

Download (920kB)
[img] Text
Turnitin_Estimation of Sea Surface Salinity Concentration from Landsat 8 OLI Data in The Strait of Madura, Indonesia.pdf

Download (2MB)
Official URL: https://journals.ums.ac.id/index.php/fg/index

Abstract

Remote sensing technique to estimate the sea surface salinity has been widely implemented in the seas of various regions. The interface between them was developed using a regression equation like the algorithm in previous research. However, the use of this algorithm for waters in Indonesia, especially in Madura Strait, still requires some adjustment since it is related to the characteristics of different areas in which the algorithm was developed. The development of an applicable local algorithm was performed by finding the best coefficient value in estimating sea surface salinity by considering the value of its lowest NMAE (Normalized Mean Absolute Error). By using salinity and in-situ Rrs() (Reflectance of remote sensing) data, we found that the coefficient for the slope was -0.0092, and the intercept was 1.4903. The developed algorithm produces higher accuracy than the existing algorithm, with an NMAE of 0.51%. This NMAE value is smaller than previous research, so this new model can be used to estimate sea surface salinity, particularly in Indonesian sea waters.

Item Type: Article
Uncontrolled Keywords: Estimation, Sea Surface Salinity, Landsat 8, Madura Strait
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QD Chemistry
T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Muhsi M Muhsi
Date Deposited: 09 Feb 2023 10:23
Last Modified: 09 Feb 2023 10:23
URI: http://repository.uim.ac.id/id/eprint/666

Available Versions of this Item

Actions (login required)

View Item View Item