Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis
The study is to evaluate the catchment area mapping at Sembrong Dam in Johor, Malaysia and identify potential transit pathways contributing to dam water degradation while implementing targeted mitigation works. The analysis involved the surface runoff patterns and topographical/geographic data via a...
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| Format: | Article |
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Universitas Mercu Buana
2025-05-01
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| Series: | Jurnal Ilmiah SINERGI |
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| Online Access: | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/29622 |
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| author | Mustafa Anjang Ahmad Muhammad Dzikri Kahlid Muhammad Haziq Izzuddin Mohd Hussin Mohd Adib Mohammad Razi Ebrahim Hamid Hussein Al-Qadami Mokhamad Nur Cahyadi |
| author_facet | Mustafa Anjang Ahmad Muhammad Dzikri Kahlid Muhammad Haziq Izzuddin Mohd Hussin Mohd Adib Mohammad Razi Ebrahim Hamid Hussein Al-Qadami Mokhamad Nur Cahyadi |
| author_sort | Mustafa Anjang Ahmad |
| collection | DOAJ |
| description | The study is to evaluate the catchment area mapping at Sembrong Dam in Johor, Malaysia and identify potential transit pathways contributing to dam water degradation while implementing targeted mitigation works. The analysis involved the surface runoff patterns and topographical/geographic data via a digital elevation model (DEM), providing insights into terrain characteristics, slope, and flow directions to hydrological dynamics that significantly contribute to water resource management. This study focuses on producing the catchment area map with satellite imagery and defining the transit pathway that potentially causes water degradation in a reservoir. The analysis uses satellite images from sentinel-2 processing to generate a detailed runoff map and DEM of the catchment area surrounding the dam. The study uses Red Bands (RED) and Near-Infrared Bands (NIR) to process sentinel satellite images to create NDVI maps. Data is uploaded as Raster data in QGIS, and NDVI calculations are performed to transform raw satellite data into an index for vegetation health. NDVI values are classified into different colour classes to visualize the condition of the study area. High NDVI values indicate higher concentrations of agriculture nutrients, potentially triggering eutrophication in watersheds through surface runoff. The study analyzed a 66.89 km2 reservoir catchment area using runoff maps. NDVI analysis showed vegetation density and plant health, with robust vegetation in the dam-surrounded region with an NDVI value of 0.8. However, due to its narrow geography and deep lakes, the northeastern region is slightly polluted and susceptible to algae growth. The study aims to improve understanding of LULC and water conditions by analyzing pollution levels using remote sensing data, DEM, and NDVI for mitigation strategies. |
| format | Article |
| id | doaj-art-757bffe3456a4bd0a1748bd2c079b4f1 |
| institution | Kabale University |
| issn | 1410-2331 2460-1217 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Universitas Mercu Buana |
| record_format | Article |
| series | Jurnal Ilmiah SINERGI |
| spelling | doaj-art-757bffe3456a4bd0a1748bd2c079b4f12025-08-20T03:31:28ZengUniversitas Mercu BuanaJurnal Ilmiah SINERGI1410-23312460-12172025-05-0129243744610.22441/sinergi.2025.2.0148268Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysisMustafa Anjang Ahmad0Muhammad Dzikri Kahlid1Muhammad Haziq Izzuddin Mohd Hussin2Mohd Adib Mohammad Razi3Ebrahim Hamid Hussein Al-Qadami4Mokhamad Nur Cahyadi5Center of Applied Geomatic and Disaster Prevention (CAGeD), Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn MalaysiaCenter of Applied Geomatic and Disaster Prevention (CAGeD), Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn MalaysiaCenter of Applied Geomatic and Disaster Prevention (CAGeD), Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn MalaysiaEco-Hydrology Technology Research Center (Eco-Hytech), Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn MalaysiaEco-Hydrology Technology Research Center (Eco-Hytech), Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn MalaysiaGeomatics Engineering Department, Institut Teknologi Sepuluh Nopember (ITS)The study is to evaluate the catchment area mapping at Sembrong Dam in Johor, Malaysia and identify potential transit pathways contributing to dam water degradation while implementing targeted mitigation works. The analysis involved the surface runoff patterns and topographical/geographic data via a digital elevation model (DEM), providing insights into terrain characteristics, slope, and flow directions to hydrological dynamics that significantly contribute to water resource management. This study focuses on producing the catchment area map with satellite imagery and defining the transit pathway that potentially causes water degradation in a reservoir. The analysis uses satellite images from sentinel-2 processing to generate a detailed runoff map and DEM of the catchment area surrounding the dam. The study uses Red Bands (RED) and Near-Infrared Bands (NIR) to process sentinel satellite images to create NDVI maps. Data is uploaded as Raster data in QGIS, and NDVI calculations are performed to transform raw satellite data into an index for vegetation health. NDVI values are classified into different colour classes to visualize the condition of the study area. High NDVI values indicate higher concentrations of agriculture nutrients, potentially triggering eutrophication in watersheds through surface runoff. The study analyzed a 66.89 km2 reservoir catchment area using runoff maps. NDVI analysis showed vegetation density and plant health, with robust vegetation in the dam-surrounded region with an NDVI value of 0.8. However, due to its narrow geography and deep lakes, the northeastern region is slightly polluted and susceptible to algae growth. The study aims to improve understanding of LULC and water conditions by analyzing pollution levels using remote sensing data, DEM, and NDVI for mitigation strategies.https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/29622catchment area mappingdigital elevation model (dem)normalized difference vegetation index (ndvi)sembrong damsurface runoff analysiswater degradation |
| spellingShingle | Mustafa Anjang Ahmad Muhammad Dzikri Kahlid Muhammad Haziq Izzuddin Mohd Hussin Mohd Adib Mohammad Razi Ebrahim Hamid Hussein Al-Qadami Mokhamad Nur Cahyadi Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis Jurnal Ilmiah SINERGI catchment area mapping digital elevation model (dem) normalized difference vegetation index (ndvi) sembrong dam surface runoff analysis water degradation |
| title | Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis |
| title_full | Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis |
| title_fullStr | Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis |
| title_full_unstemmed | Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis |
| title_short | Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis |
| title_sort | identifying degradation pathways at sembrong dam johor insights from sentinel 2 satellite imagery and ndvi analysis |
| topic | catchment area mapping digital elevation model (dem) normalized difference vegetation index (ndvi) sembrong dam surface runoff analysis water degradation |
| url | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/29622 |
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