International remote sensing application journal
Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023)

UTILIZATION OF LANDSAT IMAGERY FOR MAPPING SEAGRASS DISTRIBUTION ON NIRWANA BEACH PADANG CITY

Helsa Permata Sari (Student of the D3 Remote Sensing Technology Study Program)
Dian Adhetya Arif (Lecturer Study Program D3 Remote Sensing Technology)
Febriandi Febriandi (Lecturer Study Program D3 Remote Sensing Technology)
Triyatno Triyatno (Lecturer Study Program D3 Remote Sensing Technology)



Article Info

Publish Date
28 Jun 2023

Abstract

Mapping the distribution of seagrass beds at Nirwana Beach in Padang City aims to see changes in seagrass meadow area that occurred within a period of five years, namely from 2017 to 2022.The image used is Landsat 8 Imagery, The method used to detect seagrass beds is the Lyzenga algorithm, this method is used to obtain object information below the surface of the water, Because the information obtained from the initial image is still mixed with other information such as water depth, turbidity, and water table movement. The two channels used in detecting this aquatic bottom information are the blue band and the green band which have wavelengths corresponding to the ratio of attenuation coefficients required by the logarithmic formula of lyzenga. The interpretation results show a decrease in seagrass area within five years, namely from 2017 to 2022 by 6.96 ha. The Lyzenga Algorithm method is the most suitable method for detecting seagrass beds at Nirwana Beach in Padang City.

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Journal Info

Abbrev

IRSAJ

Publisher

Subject

Astronomy Computer Science & IT Earth & Planetary Sciences Education

Description

This journal covers the scope of remote sensing which includes: (1) data acquisition; (2) processing data; (3) data storage and distribution; (4) application and utilization of information from remote sensing data. The focus of this journal includes: 1. Remote sensing applications 2. Multi-spectral ...