Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis
This study aimed to conduct a comprehensive analysis and mapping of mangrove species distribution and density in conservation areas of Surabaya, Indonesia. The investigation focused on assessing the current state of mangrove ecosystems using Sentinel-2 satellite imagery and advanced spectral analysi...
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| Format: | Article |
| Language: | English |
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Ital Publication
2025-03-01
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| Series: | Journal of Human, Earth, and Future |
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| Online Access: | https://hefjournal.org/index.php/HEF/article/view/401 |
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| author | Lalu Muhamad Jaelani Dwi Sugma Safitri Naomy Elliana Kristian Aldea Noor Alina Muhammad Aldila Syariz Hartanto Sanjaya Abdul Rauf Abdul Rasam |
| author_facet | Lalu Muhamad Jaelani Dwi Sugma Safitri Naomy Elliana Kristian Aldea Noor Alina Muhammad Aldila Syariz Hartanto Sanjaya Abdul Rauf Abdul Rasam |
| author_sort | Lalu Muhamad Jaelani |
| collection | DOAJ |
| description | This study aimed to conduct a comprehensive analysis and mapping of mangrove species distribution and density in conservation areas of Surabaya, Indonesia. The investigation focused on assessing the current state of mangrove ecosystems using Sentinel-2 satellite imagery and advanced spectral analysis methods, which were crucial for climate regulation, food security, and poverty reduction. Moreover, Linear Spectral Unmixing (LSU) was used to accurately classify mangrove species and individual densities. The methodology included the use of radiometrically corrected Sentinel-2A imagery and spectral library data obtained from various national agencies. The findings showed that the Pamurbaya protected area covered 7,965,971 m², with Avicennia Marina accounting for 74% of the mangrove, followed by Rhizophora Mucronata (24%) and Rhizophora Apiculata (2%). Additionally, this study showed significant density variations, with 83% of the area densely populated, and also provided novel insights by applying LSU, indicating a significant advancement in environmental monitoring. The outcome offered critical information for policymakers and stakeholders to develop effective conservation and management strategies to ensure the long-term sustainability of critical coastal ecosystems. Finally, the findings showed the urgency of systematic conservation efforts to address the impact of deforestation and land-use changes on mangrove habitats worldwide.
Doi: 10.28991/HEF-2025-06-01-01
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| format | Article |
| id | doaj-art-58d48bbae6714222ad00a22455ca2b21 |
| institution | OA Journals |
| issn | 2785-2997 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Ital Publication |
| record_format | Article |
| series | Journal of Human, Earth, and Future |
| spelling | doaj-art-58d48bbae6714222ad00a22455ca2b212025-08-20T01:49:05ZengItal PublicationJournal of Human, Earth, and Future2785-29972025-03-016111110.28991/HEF-2025-06-01-01176Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral AnalysisLalu Muhamad Jaelani0Dwi Sugma Safitri1Naomy Elliana Kristian2Aldea Noor Alina3Muhammad Aldila Syariz4Hartanto Sanjaya5Abdul Rauf Abdul Rasam6Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111,Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111,Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111,Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111,Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111,Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Jakarta Pusat 10340,College of Built Environment, Malaysia Institute of Transport, Universiti Teknologi MARA, Shah Alam, Selangor 40450,This study aimed to conduct a comprehensive analysis and mapping of mangrove species distribution and density in conservation areas of Surabaya, Indonesia. The investigation focused on assessing the current state of mangrove ecosystems using Sentinel-2 satellite imagery and advanced spectral analysis methods, which were crucial for climate regulation, food security, and poverty reduction. Moreover, Linear Spectral Unmixing (LSU) was used to accurately classify mangrove species and individual densities. The methodology included the use of radiometrically corrected Sentinel-2A imagery and spectral library data obtained from various national agencies. The findings showed that the Pamurbaya protected area covered 7,965,971 m², with Avicennia Marina accounting for 74% of the mangrove, followed by Rhizophora Mucronata (24%) and Rhizophora Apiculata (2%). Additionally, this study showed significant density variations, with 83% of the area densely populated, and also provided novel insights by applying LSU, indicating a significant advancement in environmental monitoring. The outcome offered critical information for policymakers and stakeholders to develop effective conservation and management strategies to ensure the long-term sustainability of critical coastal ecosystems. Finally, the findings showed the urgency of systematic conservation efforts to address the impact of deforestation and land-use changes on mangrove habitats worldwide. Doi: 10.28991/HEF-2025-06-01-01 Full Text: PDFhttps://hefjournal.org/index.php/HEF/article/view/401linear spectral unmixingmangrovepamurbayaremote sensingsustainability. |
| spellingShingle | Lalu Muhamad Jaelani Dwi Sugma Safitri Naomy Elliana Kristian Aldea Noor Alina Muhammad Aldila Syariz Hartanto Sanjaya Abdul Rauf Abdul Rasam Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis Journal of Human, Earth, and Future linear spectral unmixing mangrove pamurbaya remote sensing sustainability. |
| title | Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis |
| title_full | Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis |
| title_fullStr | Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis |
| title_full_unstemmed | Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis |
| title_short | Mapping Mangrove Species Distribution and Density Using Sentinel-2 Satellite Imagery and Spectral Analysis |
| title_sort | mapping mangrove species distribution and density using sentinel 2 satellite imagery and spectral analysis |
| topic | linear spectral unmixing mangrove pamurbaya remote sensing sustainability. |
| url | https://hefjournal.org/index.php/HEF/article/view/401 |
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