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All Journal Journal of Geographical Sciences and Education Journal of Engineering and Science Application
Budnikov, Viktor Vladimirovich
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Aerospace Engineering Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education

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Application of GIS Technology for Landslide Prone Area Analysis in Ambon Island, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich; Latue, Philia Christi
Journal of Geographical Sciences and Education Vol 3 No 1 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i1.170

Abstract

The application of Geographic Information System (GIS) technology in analyzing landslide-prone areas in Ambon Island, Indonesia, is becoming increasingly important given the hilly geographical conditions of Ambon Island and its slopes, making landslides a frequent occurrence. This study used slope, soil type, rainfall, and land cover variables. This research used the Storie Index Method to analyze landslide prone areas in Ambon Island. The results showed that Ambon Island has a medium vulnerability level of 38,282.53 ha, a high class of 23,922.00 ha, and a low landslide prone level with an area of 21,676.08 ha. The results of this study are expected to be used as a policy recommendation for future landslide mitigation in Ambon Island.
Spatial Analysis of Vegetation Density Using MSARVI Algorithm and Sentinel-2A Imagery in Ternate City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich
Journal of Engineering and Science Application Vol. 2 No. 1 (2025): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v2i1.14

Abstract

This study aims to analyze vegetation density in Ternate City, Indonesia, using the Modified Soil-Adjusted and Atmospherically Resistant Vegetation Index (MSARVI) algorithm and Sentinel-2A images processed through Google Earth Engine. The analysis results show that the vegetation density index values range from -0.54 to 1.16, with normalization resulting in four density classes: low, medium, dense, and very dense. Ternate Island sub-district had the largest area of very dense vegetation (4,133.12 hectares), while Ternate Tengah sub-district showed the lowest vegetation density, reflecting the significant impact of urbanization. This study revealed that despite anthropogenic pressures, Ternate Island remains an ecologically critical zone. These findings emphasize the importance of conservation efforts and afforestation initiatives to improve environmental resilience amidst the growing challenges of climate change and urban development.
Co-Authors Latue, Philia Christi Rakuasa, Heinrich