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All Journal Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Journal of Fisheries & Marine
Aulia, Zahra Safira
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Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Engineering

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The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Jurnal Ilmiah Perikanan dan Kelautan Vol. 16 No. 1 (2024): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v16i1.43935

Abstract

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.
Dynamics of mangrove species dominant area changes in Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 2 (2023): AUGUST 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.2.32538

Abstract

Mangrove forests in Timbulsloko and Bedono villages have very important benefits in minimizing abrasion, due to tidal flooding and land absorption in this area. A large number of people have planted mangroves to restore the function of mangrove forests in coastal areas which conducted by NGOs, students, government agencies, and awareness from local residents. This study aimed to determine the dynamics of mangrove area and mangrove species dominant area changes in 2016, 2018, 2020 and 2022 based on Sentinel-2 Satellite Imagery processing, and to analyze the dynamic changes based on geospatial analysis. The method used in this study is divided into two: satellite imagery data processing and field survey. The result showed that the area of mangrove species in Timbulsloko and Bedono increased from 2016 to 2022. In 2016 the area of mangroves was 140.04 ha, 159.57 ha in 2018, 171.05 ha in 2020, and 234.8 ha in 2022. The use of Sentinel 2 Satellite Imagery to map the distribution of mangrove species dominant produce overall accuracy of 84.62%. The mangrove species with the highest area are Avicennia marina followed by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronate. The increase in this area of mangroves in this area is due to natural additions and artificial additions due to mangrove planting conservation by several parties and the awareness of the local residents to protect mangroves.Keywords:Mangrove SpeciesDynamicsCoastal AreaSentinel 2Remote Sensing
Dynamics of mangrove species dominant area changes in Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 2 (2023): AUGUST 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.2.32538

Abstract

Mangrove forests in Timbulsloko and Bedono villages have very important benefits in minimizing abrasion, due to tidal flooding and land absorption in this area. A large number of people have planted mangroves to restore the function of mangrove forests in coastal areas which conducted by NGOs, students, government agencies, and awareness from local residents. This study aimed to determine the dynamics of mangrove area and mangrove species dominant area changes in 2016, 2018, 2020 and 2022 based on Sentinel-2 Satellite Imagery processing, and to analyze the dynamic changes based on geospatial analysis. The method used in this study is divided into two: satellite imagery data processing and field survey. The result showed that the area of mangrove species in Timbulsloko and Bedono increased from 2016 to 2022. In 2016 the area of mangroves was 140.04 ha, 159.57 ha in 2018, 171.05 ha in 2020, and 234.8 ha in 2022. The use of Sentinel 2 Satellite Imagery to map the distribution of mangrove species dominant produce overall accuracy of 84.62%. The mangrove species with the highest area are Avicennia marina followed by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronate. The increase in this area of mangroves in this area is due to natural additions and artificial additions due to mangrove planting conservation by several parties and the awareness of the local residents to protect mangroves.Keywords:Mangrove SpeciesDynamicsCoastal AreaSentinel 2Remote Sensing
Co-Authors Muhammad Helmi Rudhi Pribadi