Melola Discovery

← Melola Discovery

Open access Jurnal

MAPPING MANGROVE GREEN BELTS IN AQUACULTURE PONDS USING GOOGLE EARTH ENGINE

Jurnal Ilmu Kelautan SPERMONDE · Vol. UME No. MOR (2026) · pp. 34–47

DOI
10.35911/jiks.v12i1.50315
ISSN
2614-5049, 2460-0156
Published
2026-05-01
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Mangrove ecosystems function as vital biophysical buffers, attenuating wave energy, reducing coastal erosion, and stabilizing shorelines. Historically, they have been employed as natural barriers to protect coastal aquaculture, including fish ponds. This study examines the temporal dynamics of mangroves safeguarding the Unhas Bojo educational fish ponds using cloud-based geospatial analysis via Google Earth Engine (GEE). Field data were collected from June 2–5, 2023, across 27 sampling points within three stations, complemented by Sentinel-2A imagery (474 scenes, from 2016 to 2023). Equipment included GPS logger, quadrat, compass, ImageJ, timestamp camera, protractor, Google My Maps, GPX Viewer, QGIS, and GEE. Species identified were Rhizophora mucronata, Rhizophora apiculata, and Sonneratia alba. Average canopy cover was 76.2 ± 5.8%, indicating good ecological condition. NDVI values ranged from -0.12 to 0.65, with a model coefficient of determination (R²) of 0.835 and RMSE of 1.69. Despite overall resilience, seasonal NDVI dynamics revealed consistent patterns: higher productivity during the dry season and reduced values in the rainy season. These intra-annual fluctuations demonstrate that mangrove vigor is strongly coupled with climatic drivers, particularly rainfall intensity and hydrological regimes. Persistent canopy cover underscores ecological resilience, yet sensitivity to seasonal stressors highlights the importance of monitoring mangrove health under variable climatic conditions.

Keywords

Collaboration network of the authors

40 authors · 145 co-authorship links · 4 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Sulawesi Tenggara
  • Universitas Muhammadiyah Kendari
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ahmad FaizalAffiliation unknown6
Muhammad Anshar AmranAffiliation unknown4
Abdul HarisAffiliation unknown4
Rahmadi TambaruAffiliation unknown4
Shinta WerorilangiAffiliation unknown3
Akbar TahirAffiliation unknown3
Syafyudin YusufAffiliation unknown3
Mukti ZainuddinAffiliation unknown3
KamaruddinUniversitas Muhammadiyah Kendari3
Muh. Farid SamawiAffiliation unknown3
Mahatma LanuruAffiliation unknown3
Inayah YasirAffiliation unknown3
Hamzah HamzahAffiliation unknown2
Arniati ArniatiAffiliation unknown2
Jamaluddin JompaAffiliation unknown2
Marzuki UkkasAffiliation unknown2
Muh IsmanAffiliation unknown2
Muhammad RidwanAffiliation unknown2
Supriadi MashorengAffiliation unknown2
Muh HattaAffiliation unknown2
Khairul AmriAffiliation unknown2
Ayu Lestari DewiUniversitas Sulawesi Tenggara1
Muh. TahirUniversitas Halu Oleo1
M YusufUniversitas Sulawesi Tenggara1
La NiasaUniversitas Sulawesi Tenggara1
Hijriani HijrianiUniversitas Sulawesi Tenggara1
Alimuddin AlimuddinAffiliation unknown1
Syerly KlaraAffiliation unknown1
Faisal MahmuddinAffiliation unknown1
RahmatullahAffiliation unknown1
Farid SamawiAffiliation unknown1
Indra MutiaraAffiliation unknown1
Nurul Fitri HayatiAffiliation unknown1
Ahmad FaisalAffiliation unknown1
Andi Iqbal BurhanuddinAffiliation unknown1
Muhammad SadikAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jiks/oai, first harvested 4 Nov 2026, last seen 4 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">MAPPING MANGROVE GREEN BELTS IN AQUACULTURE PONDS USING GOOGLE EARTH ENGINE</dc:title>
	<dc:creator xml:lang="en">Selamat, Muhammad Banda</dc:creator>
	<dc:creator xml:lang="en">Supriadi, Supriadi</dc:creator>
	<dc:creator xml:lang="en">Muhiddin, Amir Hamzah</dc:creator>
	<dc:creator xml:lang="en">Rani, Chair</dc:creator>
	<dc:subject xml:lang="en">mangrove</dc:subject>
	<dc:subject xml:lang="en">mapping</dc:subject>
	<dc:subject xml:lang="en">NDVI</dc:subject>
	<dc:subject xml:lang="en">GEE</dc:subject>
	<dc:subject xml:lang="en">Bojo</dc:subject>
	<dc:description xml:lang="en">Mangrove ecosystems function as vital biophysical buffers, attenuating wave energy, reducing coastal erosion, and stabilizing shorelines. Historically, they have been employed as natural barriers to protect coastal aquaculture, including fish ponds. This study examines the temporal dynamics of mangroves safeguarding the Unhas Bojo educational fish ponds using cloud-based geospatial analysis via Google Earth Engine (GEE). Field data were collected from June 2–5, 2023, across 27 sampling points within three stations, complemented by Sentinel-2A imagery (474 scenes, from 2016 to 2023). Equipment included GPS logger, quadrat, compass, ImageJ, timestamp camera, protractor, Google My Maps, GPX Viewer, QGIS, and GEE. Species identified were Rhizophora mucronata, Rhizophora apiculata, and Sonneratia alba. Average canopy cover was 76.2 ± 5.8%, indicating good ecological condition. NDVI values ranged from -0.12 to 0.65, with a model coefficient of determination (R²) of 0.835 and RMSE of 1.69. Despite overall resilience, seasonal NDVI dynamics revealed consistent patterns: higher productivity during the dry season and reduced values in the rainy season. These intra-annual fluctuations demonstrate that mangrove vigor is strongly coupled with climatic drivers, particularly rainfall intensity and hydrological regimes. Persistent canopy cover underscores ecological resilience, yet sensitivity to seasonal stressors highlights the importance of monitoring mangrove health under variable climatic conditions.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2026-05-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jiks/article/view/50315</dc:identifier>
	<dc:identifier>10.35911/jiks.v12i1.50315</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ilmu Kelautan SPERMONDE; VOLUME 12 NOMOR 1, 2026; 34-47</dc:source>
	<dc:source>2614-5049</dc:source>
	<dc:source>2460-0156</dc:source>
	<dc:source>10.35911/jiks.vi</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jiks/article/view/50315/14362</dc:relation>
	<dc:coverage xml:lang="en">This paper cover mapping and marine ecology studies</dc:coverage>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>