The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak
Abstract Mangrove forests in Timbulsloko and Bedono have very dynamic conditions, due to tidal flooding and land subsidence that occur in these areas. Meanwhile, mangrove forests in the Timbulsloko and Bedono Village play an important role in preventing abrasion which often occurs in these areas....
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Faculty of Fisheries and Marine Universitas Airlangga
2023-12-01
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| Series: | Jurnal Ilmiah Perikanan dan Kelautan |
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| Online Access: | https://e-journal.unair.ac.id/JIPK/article/view/43935 |
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| author | Zahra Safira Aulia Rudhi Pribadi Muhammad Helmi |
| author_facet | Zahra Safira Aulia Rudhi Pribadi Muhammad Helmi |
| author_sort | Zahra Safira Aulia |
| collection | DOAJ |
| description | Abstract
Mangrove forests in Timbulsloko and Bedono have very dynamic conditions, due to tidal flooding and land subsidence that occur in these areas. Meanwhile, mangrove forests in the Timbulsloko and Bedono Village play an important role in preventing abrasion which often occurs in these areas. The importance of the mangroves function in this area makes it crucial to monitor their condition. Monitoring the condition of mangroves can be done by looking at their density through the vegetation index. Therefore, this study aimed to determine the best vegetation index to be used in the Timbulsloko and Bedono villages to monitor mangroves in 2016-2018, 2020, and 2022. The method in this research consisted of two stages, namely sentinel 2 image processing and the field survey. Image processing was used to determine the condition of mangroves based on several vegetation indices. Meanwhile, data collection in the field was utilized to validate several vegetation indices used in this study and conducted with the hemispherical photography method. Linear regression analysis was used to determine the most suitable vegetation index to be applied in the study area. The study found that NDVI vegetation index had the highest accuracy value, followed by SAVI, EVI, and MVI. The use of NDVI to see the changes in mangrove conditions showed an increase in the total area in each category. So, it can be concluded that the area and density of mangrove forests in the Bedono and Timbulsloko villages increased every year.
Highlight Research
• Mangroves in each region have different canopy density values.
• The use of the mangrove vegetation index will produce different accuracy values in different areas.
• LAI has a very strong relationship with the NDVI.
• The addition of area in the sparse mangrove category can be an indication of mangrove planting at the most recent time.
• In general, the research outcome will be valuable recommendation for mangrove rehabilitation in current target area. |
| format | Article |
| id | doaj-art-f2128b680455452a83409ba37d0fc0bc |
| institution | Kabale University |
| issn | 2085-5842 2528-0759 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Faculty of Fisheries and Marine Universitas Airlangga |
| record_format | Article |
| series | Jurnal Ilmiah Perikanan dan Kelautan |
| spelling | doaj-art-f2128b680455452a83409ba37d0fc0bc2025-02-03T05:30:51ZengFaculty of Fisheries and Marine Universitas AirlanggaJurnal Ilmiah Perikanan dan Kelautan2085-58422528-07592023-12-0116122023310.20473/jipk.v16i1.4393542017The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, DemakZahra Safira Aulia0https://orcid.org/0000-0002-7898-9037Rudhi Pribadi1Muhammad Helmi2Department of Marine Science, Fisheries and Marine Science Faculty, Universitas Diponegoro, Semarang, Central Java, 50275. IndonesiaCenter for Coastal Rehabilitation and Disaster Mitigation Studies (CoREM), Universitas Diponegoro, Semarang, Central Java, 50275. IndonesiaDepartment of Marine Science, Fisheries and Marine Science Faculty, Universitas Diponegoro, Semarang, Central Java, 50275. Indonesia; Center for Coastal Rehabilitation and Disaster Mitigation Studies (CoREM), Universitas Diponegoro, Semarang, Central Java, 50275. IndonesiaAbstract Mangrove forests in Timbulsloko and Bedono have very dynamic conditions, due to tidal flooding and land subsidence that occur in these areas. Meanwhile, mangrove forests in the Timbulsloko and Bedono Village play an important role in preventing abrasion which often occurs in these areas. The importance of the mangroves function in this area makes it crucial to monitor their condition. Monitoring the condition of mangroves can be done by looking at their density through the vegetation index. Therefore, this study aimed to determine the best vegetation index to be used in the Timbulsloko and Bedono villages to monitor mangroves in 2016-2018, 2020, and 2022. The method in this research consisted of two stages, namely sentinel 2 image processing and the field survey. Image processing was used to determine the condition of mangroves based on several vegetation indices. Meanwhile, data collection in the field was utilized to validate several vegetation indices used in this study and conducted with the hemispherical photography method. Linear regression analysis was used to determine the most suitable vegetation index to be applied in the study area. The study found that NDVI vegetation index had the highest accuracy value, followed by SAVI, EVI, and MVI. The use of NDVI to see the changes in mangrove conditions showed an increase in the total area in each category. So, it can be concluded that the area and density of mangrove forests in the Bedono and Timbulsloko villages increased every year. Highlight Research • Mangroves in each region have different canopy density values. • The use of the mangrove vegetation index will produce different accuracy values in different areas. • LAI has a very strong relationship with the NDVI. • The addition of area in the sparse mangrove category can be an indication of mangrove planting at the most recent time. • In general, the research outcome will be valuable recommendation for mangrove rehabilitation in current target area.https://e-journal.unair.ac.id/JIPK/article/view/43935mangrovemonitoringremote sensingvegetation index |
| spellingShingle | Zahra Safira Aulia Rudhi Pribadi Muhammad Helmi The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak Jurnal Ilmiah Perikanan dan Kelautan mangrove monitoring remote sensing vegetation index |
| title | The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak |
| title_full | The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak |
| title_fullStr | The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak |
| title_full_unstemmed | The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak |
| title_short | The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak |
| title_sort | use of vegetation indices on temporal mangrove condition a case study on timbulsloko and bedono demak |
| topic | mangrove monitoring remote sensing vegetation index |
| url | https://e-journal.unair.ac.id/JIPK/article/view/43935 |
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