Generate NLP AI by Wizdam ID.
Mangrove ecosystems consist of tropical plants that have adapted to the salinity, tidal fluctuations, and loose soil condition. Identification of mangrove ecosystems can be carried out by direct survey methods or by utilizing remote sensing technology. This study aims to map the area, percent cover, and density of mangroves in Makassar City using Sentinel 2A Imagery. The method used is the NDVI transformation, followed by Unsupervised-ISODATA classification, ground check with the 10 x 10-meter plotting method, and hemispherical photography. The results showed that the existence of mangroves in Makassar City was still found in the Tallo and Biringkanaya districts, with 68.81 ha of mangrove ecosystem cover area in the range of 84.36 - 91.89% (dense category). Likewise, the vegetation index based on NDVI analysis ranged from 0.73 - 0.81 (dense category), and the species density was in the range of 2700 - 6400 trees/Ha (dense category). Sentinel-2A imagery transformed with NDVI can be used to track mangrove areas and their density. The wide distribution of mangrove ecosystems in Makassar is relatively small but has good conditions.
Materials and methods from the full-text PDF of this article cannot be displayed.
Results from the full-text PDF of this article cannot be displayed.
Discussion from the full-text PDF of this article cannot be displayed.
Conclusions from the full-text PDF of this article cannot be displayed.
Acknowledgment from the full-text PDF of this article cannot be displayed.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
No ethical approval required for this article. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5)
Data sharing not applicable to this article as no datasets were generated or analysed during the current study, and/or contains supplementary material, which is available to authorized users.
Copyright © 2023 Ahmad Faizal, Nita Mutmainna, Muh Anshar Amran, Amran Saru, Khairul Amri, Muh Nastsir Nessa. Sangia Research Media and Publishing. Production and hosting by Sangia (SRM™). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.