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All Journal Jurnal Environmental Science Journal of Earth Kingdom
Jalil, Abd. Rasyid
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Astronomy Earth & Planetary Sciences Environmental Science Social Sciences

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MONITORING SEBARAN DAN KERAPATAN MANGROVE MENGGUNAKAN TRANFORMASI NDVI PADA CITRA SENTINEL-2 DI PROVINSI SULAWESI BARAT Malik, Abdul; Ali, Muhammad Ichsan; Jalil, Abd. Rasyid; Zhiddiq, Sulaiman; Mannan, Abdul; Musyawarah, Rahma
Jurnal Environmental Science Vol 6, No 2 (2024): April
Publisher : UNIVERSITAS NEGERI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jes.v6i2.61266

Abstract

The application of the Normalized Difference Vegetation Index (NDVI) on multispectral satellite imagery has been extensively used to assess the quantitative and qualitative aspects of mangrove vegetation. However, the use of Sentinel-2 imagery for this purpose is still relatively new. This research aims to monitor the distribution and density of mangrove vegetation in West Sulawesi by implementing NDVI transformation on Sentinel-2 imagery. The mangrove forest in Mamuju Regency, located in West Sulawesi, is one of the rich areas of mangrove forests on the island of Sulawesi, Indonesia. However, this region also exhibits disturbances in the mangrove ecosystem, resulting in limited monitoring efforts. By utilizing NDVI transformation, we identified the distribution and density of mangrove vegetation using Sentinel-2 imagery. The accuracy of image classification was evaluated using the confusion matrix method, and further analysis was conducted using linear regression to test the relationship between NDVI and mangrove density values obtained from field surveys. The results indicate that the total area of the mangrove forest reaches 1,798 hectares distributed along the coastal areas in the districts of Sampaga, Papalang, Kalukku, Mamuju, Simboro, Tapalang Barat, and Tapalang. Nearly 60% of this area has high mangrove density, while approximately 7% to 9% falls into the low and lowest density categories. NDVI values range from 0.06 to 0.81, with the highest value found in the Mamuju District and the lowest in the Papalang District. The correlation between NDVI and mangrove density shows a strong positive relationship (R=0.78). Therefore, Sentinel-2 imagery demonstrates high accuracy and potential for the development of predictive models for mangrove vegetation density. These findings have significant implications for the development of conservation policies and environmental management, as well as raising public awareness of the importance of preserving mangrove forests.
The relationship between nitrate and phosphate nutrients and phytoplankton abundance in coastal waters: Implications for ecosystem dynamics Yunus, Muh.; Samawi, Muh. Farid; Jalil, Abd. Rasyid
Journal of Earth Kingdom Vol. 2 No. 2: (January) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jek.v2i2.2025.1627

Abstract

Background: The presence and abundance of phytoplankton are closely related to the physical and chemical parameters of water. Phytoplankton play a crucial role in aquatic ecosystems as primary producers and nutrient absorbers. This study aims to analyze the relationship between nitrate and phosphate nutrient content and the abundance of phytoplankton in the Arungkeke Waters, Jeneponto Regency. Methods: This research utilized a combination of field measurements and laboratory analysis. Direct measurements in the Arungkeke waters were conducted to assess surface water parameters, including temperature, salinity, current velocity, transparency, and ph. Water samples were collected for laboratory analysis of phytoplankton composition and abundance, as well as nitrate and phosphate concentrations. Regression analysis was performed to determine the relationship between nutrient concentrations and phytoplankton abundance. Findings: The study identified two classes of phytoplankton present in the Arungkeke waters: Bacillariophyceae and Dinophyceae. Oceanographic parameters were measured, with temperature ranging from 28.3°C to 29.7°C, current velocity from 0.039 m/s to 0.073 m/s, salinity from 29.3 ppt to 32 ppt, transparency from 1.9 m to 2.3 m, and ph from 7.3 to 7.4. Nitrate concentrations ranged from 0.042 mg/L to 0.076 mg/L, while phosphate concentrations ranged from 0.046 mg/L to 0.056 mg/L. The regression analysis revealed a moderate relationship between phytoplankton abundance and nutrient concentrations, with an R² value of 0.44. Conclusions: The study concludes that phytoplankton abundance in the Arungkeke Waters is influenced by nitrate and phosphate concentrations, with a moderate correlation observed. The presence of Bacillariophyceae and Dinophyceae classes indicates the ecological significance of these waters as a primary production area. Novelty/Originality of this article: This study provides valuable insights into the interaction between nutrient dynamics and phytoplankton abundance in the Arungkeke Waters, which is a relatively understudied area. By identifying the classes of phytoplankton present and quantifying their relationship with key nutrients, this research contributes to a better understanding of the ecological processes in coastal waters.
Co-Authors Abdul Malik Ali, Muhammad Ichsan Mannan, Abdul Muh. Yunus Rahma Musyawarah, Rahma Samawi, Muh. Farid Sulaiman Zhiddiq, Sulaiman