PLATFORM REEF LAGOON DETECTION FROM SENTINEL-2 IN PANGGANG ISLAND AND SEMAKDAUN ISLAND

Authors

  • Wikanti Asriningrum Research Center for Remote Sensing, National Research and Innovation Agency (BRIN)
  • Azura Ulfa Research Center for Remote Sensing, National Research and Innovation Agency (BRIN)
  • Kholifatul Aziz Center for Data and Information, National Research and Innovation Agency (BRIN)
  • Kuncoro T. Setiawan Research Center for Remote Sensing, National Research and Innovation Agency (BRIN)
  • Dyah Pangastuti Center for Mapping Marine and Coastal Environments, BIG

DOI:

https://doi.org/10.30536/j.ijreses.2022.v19.a3804

Keywords:

Sentinel-2, lagoon, platform reef, Panggang Island, Semakdaun Island

Abstract

Processing of satellite image data for the detection of platform reef lagoons is intended as one of the geo-physical parameters of the reef landform. Panggang Island and Semakdaun Island were chosen to make the detection model because they are ideal for lagoon reef landforms and tapulang court reefs. This model is only valid in the continental shelf area and the back arc and small island tectonic type. Determination of this location is done to improve the accuracy of spectral-based data processing. Platform reefs are one of four classes of reef landforms. Sentinel-2A data with a spatial resolution of 10m, blue, green, red, and near infrared bands were selected to investigate their ability to detect lagoons. Processing of data by calculating the Optimum Index Factor (OIF) to produce a composite image and drawing transect lines to produce pixel values and spectral graphics of the lagoon. The results of data processing in the form of graphs, composite images and pixel values were built to realize a digital lagoon detection model. These results are used for lagoon growth stage analysis for the classification of three reef platform landforms, visually and digitally interpretation. This digital and visual detection system design is useful for monitoring coral reef ecosystems.

Downloads

Published

2025-11-25

Issue

Vol. 19 No. 2 (2022)

Section

Articles

License

Copyright (c) 2023 Author (s)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright Notice for the International Journal of Remote Sensing and Earth Sciences (IJReSES)

Copyright Holder: Author(s).

By submitting an article to IJReSES, author(s) agree to the following terms:

1. Grant of Publishing Rights: Authors grant IJReSES the license to publish the article and to identify itself as the original publisher. This includes the right to make the article available in all forms and media.

2. Commercial Rights: Authors grant IJReSES the rights to produce and sell hardcopy volumes of the journal. These volumes may be purchased by libraries, individuals, or other entities.

3. Third-Party Use: Authors agree to allow any third party to freely use the article, provided that the original authors are credited and the article is cited appropriately. This facilitates the dissemination and impact of the work.

4. Creative Commons License: The article is distributed under the Creative Commons Attribution non Commercial Share Alike 4.0 License (CC BY-NC-SA 4.0). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as the original author is credited for the original creation.

5. Associated Published Material: Unless otherwise stated, any associated published material (such as supplementary data, graphics, and multimedia) is distributed under the same CC BY-NC-SA 4.0 License.

By adhering to these terms, authors ensure the wide dissemination and accessibility of their work, contributing to the advancement of knowledge in the fields of remote sensing and earth sciences.