ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU
This study was conducted in the mangrove forest area of Bengkulu City, Indonesia, which is rich in ecosystem diversity and has a long coastline. By utilising remote sensing technology, this study aimed to provide accurate information on the condition of mangrove forests and their role in the local e...
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| Format: | Article |
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Faculty of Teacher Training and Education, Universitas Sebelas Maret
2025-07-01
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| Series: | GeoEco |
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| Online Access: | https://jurnal.uns.ac.id/GeoEco/article/view/86711 |
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| author | Al Ikhsan Rama Komura Sumarmi Sumarmi Syamsul Bachri |
| author_facet | Al Ikhsan Rama Komura Sumarmi Sumarmi Syamsul Bachri |
| author_sort | Al Ikhsan Rama Komura |
| collection | DOAJ |
| description | This study was conducted in the mangrove forest area of Bengkulu City, Indonesia, which is rich in ecosystem diversity and has a long coastline. By utilising remote sensing technology, this study aimed to provide accurate information on the condition of mangrove forests and their role in the local ecosystem. Sentinel image analysis using NDVI, SAVI, and NDWI vegetation indices showed that NDVI was dominated by high density with values between 0.35 and 1, covering an area of 674.19 hectares. In the SAVI analysis, an extremely high density class with values 1.22 to 1.38 covered an area of 457.82 hectares. Conversely, NDWI indicated a low-density class with values between 0.17 and 0.27, covering an area of 457.82 hectares. Accuracy tests conducted with 30 samples showed an accuracy level of 83.33%. It is hoped that this study's results can significantly contribute to the understanding and management of mangrove ecosystems in Bengkulu City. |
| format | Article |
| id | doaj-art-74915246e4ab4dc5a7f1cf6c941beff3 |
| institution | Kabale University |
| issn | 2460-0768 2597-6044 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Faculty of Teacher Training and Education, Universitas Sebelas Maret |
| record_format | Article |
| series | GeoEco |
| spelling | doaj-art-74915246e4ab4dc5a7f1cf6c941beff32025-08-20T03:43:54ZengFaculty of Teacher Training and Education, Universitas Sebelas MaretGeoEco2460-07682597-60442025-07-0111250151810.20961/ge.v11i2.8671146406ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULUAl Ikhsan Rama Komura0Sumarmi Sumarmi1Syamsul Bachri2Geography Education, Faculty of Social Sciences, State University of MalangGeography Education, Faculty of Social Sciences, State University of MalangGeography Education, Faculty of Social Sciences, State University of MalangThis study was conducted in the mangrove forest area of Bengkulu City, Indonesia, which is rich in ecosystem diversity and has a long coastline. By utilising remote sensing technology, this study aimed to provide accurate information on the condition of mangrove forests and their role in the local ecosystem. Sentinel image analysis using NDVI, SAVI, and NDWI vegetation indices showed that NDVI was dominated by high density with values between 0.35 and 1, covering an area of 674.19 hectares. In the SAVI analysis, an extremely high density class with values 1.22 to 1.38 covered an area of 457.82 hectares. Conversely, NDWI indicated a low-density class with values between 0.17 and 0.27, covering an area of 457.82 hectares. Accuracy tests conducted with 30 samples showed an accuracy level of 83.33%. It is hoped that this study's results can significantly contribute to the understanding and management of mangrove ecosystems in Bengkulu City.https://jurnal.uns.ac.id/GeoEco/article/view/86711mangrovendvindwisavisentinel |
| spellingShingle | Al Ikhsan Rama Komura Sumarmi Sumarmi Syamsul Bachri ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU GeoEco mangrove ndvi ndwi savi sentinel |
| title | ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU |
| title_full | ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU |
| title_fullStr | ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU |
| title_full_unstemmed | ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU |
| title_short | ANALYSIS OF NDVI, NDWI, AND SAVI TRANSFORMATIONS FOR IDENTIFICATION OF MANGROVE DENSITY IN BENGKULU |
| title_sort | analysis of ndvi ndwi and savi transformations for identification of mangrove density in bengkulu |
| topic | mangrove ndvi ndwi savi sentinel |
| url | https://jurnal.uns.ac.id/GeoEco/article/view/86711 |
| work_keys_str_mv | AT alikhsanramakomura analysisofndvindwiandsavitransformationsforidentificationofmangrovedensityinbengkulu AT sumarmisumarmi analysisofndvindwiandsavitransformationsforidentificationofmangrovedensityinbengkulu AT syamsulbachri analysisofndvindwiandsavitransformationsforidentificationofmangrovedensityinbengkulu |