Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery

Mangrove ecosystems play a critical role in maintaining coastal health; however, they are increasingly threatened by anthropogenic activities and climate change. Health assessment is essential for effective conservation efforts. However, traditional remote sensing techniques such as the normalised d...

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Main Authors: K. K Basheer Ahammed, I Wayan Gede Astawa Karang, I Wayan Nuarsa, I Gede Surya Indrawan, I Gede Hendrawan, Ni Made Nia Bunga Surya Dewi, Arvind Chandra Pandey
Format: Article
Language:English
Published: Universitas Muhammadiyah Surakarta 2024-08-01
Series:Forum Geografi
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Online Access:https://journals2.ums.ac.id/index.php/fg/article/view/4518
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author K. K Basheer Ahammed
I Wayan Gede Astawa Karang
I Wayan Nuarsa
I Gede Surya Indrawan
I Gede Hendrawan
Ni Made Nia Bunga Surya Dewi
Arvind Chandra Pandey
author_facet K. K Basheer Ahammed
I Wayan Gede Astawa Karang
I Wayan Nuarsa
I Gede Surya Indrawan
I Gede Hendrawan
Ni Made Nia Bunga Surya Dewi
Arvind Chandra Pandey
author_sort K. K Basheer Ahammed
collection DOAJ
description Mangrove ecosystems play a critical role in maintaining coastal health; however, they are increasingly threatened by anthropogenic activities and climate change. Health assessment is essential for effective conservation efforts. However, traditional remote sensing techniques such as the normalised difference vegetation index (NDVI) may not fully capture the complex physiological processes influencing vegetation health. Therefore, this study investigated chlorophyll (Chl) dynamics in mangroves using remote sensing techniques, including the NDVI and a novel method, the normalised area over reflectance curve (NAOC), via Sentinel-2 satellite imagery during October 2023, and analysed spatial variations in Chl content (CC) via the Google Earth Engine API. NDVI and NAOC-Chl were weakly correlated (0.47), highlighting their complementary roles. The average NDVI and NOAC-Chl values for different species were analysed, and Rhizophora mucronata presented the highest value (NDVI: 0.86 ± 0.08, NOAC: 20.48 ± 4.49.
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institution DOAJ
issn 0852-0682
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publishDate 2024-08-01
publisher Universitas Muhammadiyah Surakarta
record_format Article
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spelling doaj-art-4be6bb46d50d41ffbfde5e99e285acaf2025-08-20T03:08:36ZengUniversitas Muhammadiyah SurakartaForum Geografi0852-06822460-39452024-08-0138224425610.23917/forgeo.v38i2.45184534Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite ImageryK. K Basheer Ahammed0I Wayan Gede Astawa Karang1I Wayan Nuarsa2I Gede Surya Indrawan3I Gede Hendrawan4Ni Made Nia Bunga Surya Dewi5Arvind Chandra Pandey6Department of Marine Science, Faculty of Marine Science and Fisheries, Udayana University, Jimbaran, Bali 80361 Indonesia. International Union for the Conservation of Nature (IUCN), Commission on Ecosystem Management (CEM), South AsiaDepartment of Marine Science, Faculty of Marine Science and Fisheries, Udayana University, Jimbaran, Bali 80361 Department of Marine Science, Faculty of Marine Science and Fisheries, Udayana University, Jimbaran, Bali 80361 Department of Marine Science, Faculty of Marine Science and Fisheries, Udayana University, Jimbaran, Bali 80361 Department of Marine Science, Faculty of Marine Science and Fisheries, Udayana University, Jimbaran, Bali 80361 Doctor of Environmental Science, Post Graduate Program, Udayana University, Jimbaran, Bali Department of Geoinformatics, School of Natural Resource Management, Central University of Jharkhand, Cheri Manatu Rachi, 835 222 Mangrove ecosystems play a critical role in maintaining coastal health; however, they are increasingly threatened by anthropogenic activities and climate change. Health assessment is essential for effective conservation efforts. However, traditional remote sensing techniques such as the normalised difference vegetation index (NDVI) may not fully capture the complex physiological processes influencing vegetation health. Therefore, this study investigated chlorophyll (Chl) dynamics in mangroves using remote sensing techniques, including the NDVI and a novel method, the normalised area over reflectance curve (NAOC), via Sentinel-2 satellite imagery during October 2023, and analysed spatial variations in Chl content (CC) via the Google Earth Engine API. NDVI and NAOC-Chl were weakly correlated (0.47), highlighting their complementary roles. The average NDVI and NOAC-Chl values for different species were analysed, and Rhizophora mucronata presented the highest value (NDVI: 0.86 ± 0.08, NOAC: 20.48 ± 4.49.https://journals2.ums.ac.id/index.php/fg/article/view/4518google earth enginesentinel 2mangrovescanopy chlorophyllvegetation health
spellingShingle K. K Basheer Ahammed
I Wayan Gede Astawa Karang
I Wayan Nuarsa
I Gede Surya Indrawan
I Gede Hendrawan
Ni Made Nia Bunga Surya Dewi
Arvind Chandra Pandey
Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
Forum Geografi
google earth engine
sentinel 2
mangroves
canopy chlorophyll
vegetation health
title Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
title_full Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
title_fullStr Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
title_full_unstemmed Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
title_short Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
title_sort mapping of the spatio spectral dynamics of mangrove chlorophyll concentrations via sentinel 2 satellite imagery
topic google earth engine
sentinel 2
mangroves
canopy chlorophyll
vegetation health
url https://journals2.ums.ac.id/index.php/fg/article/view/4518
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