Khromykh, Vadim V.
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pemetaan Daerah Rawan Longsor di Kota Ternate, Indonesia Menggunakan Sistem Informasi Geografis Rakuasa, Heinrich; Khromykh, Vadim V.; Rifai, Ahmat
Journal of Geographical Sciences and Education Vol 3 No 2 (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.v3i2.214

Abstract

Landslides seriously threaten safety and sustainable development in Ternate City, Indonesia, due to tectonic activity, steep topography, high rainfall, and urbanization pressure. This study aims to map landslide-prone areas using Geographic Information System and the weighted overlay method by integrating seven parameters: elevation, slope, soil type, geology, land use, rainfall, and distance from active faults. The analysis results show that slopes >40% and areas near active faults have the highest risk. Based on the total area of 10,162 ha, 51% (5,197 ha) is classified as a high-risk zone, 31% (3,123 ha) as medium risk, and 18% (1,842 ha) as low risk. These findings emphasize the need for risk-zoning-based mitigation priorities, such as strengthening spatial planning policies, building disaster-resistant infrastructure, and educating communities. This research not only provides a scientific basis for development planning and disaster risk reduction in Ternate but also provides a methodological framework that can be adapted in other landslide-prone areas, especially in volcanic island regions with similar geographical conditions.
Spatio-Temporal Analysis of Forest Cover Change in Halmahera and Obi Islands, Indonesia using Hansen Global Forest Change Data on Google Earth Engine Rakuasa, Heinrich; Khromykh, Vadim V.; Rifai , Ahmat
Journal of Scientific Insights Vol. 2 No. 3 (2025): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i3.417

Abstract

Forest cover change on Halmahera and Obi Islands in Indonesia is an important indicator for assessing natural resource sustainability and climate change mitigation in this biodiversity-rich tropical region. This study used Hansen Global Forest Change v1.11 data, which was processed and analyzed on the Google Earth Engine (GEE) platform, to look at how forest cover changed from 2000 to 2023, using 30-meter resolution satellite images and lossyear bands to find out the years when deforestation happened. The results of the analysis show significant deforestation trends, primarily associated with intensive nickel mining activities, leading to the loss of thousands of hectares of forest cover each year, with peaks occurring in 2015 in Halmahera and 2002 in Obi. The discussion highlights that mining activities and land conversion are major factors in forest degradation, which not only impacts local ecosystems but also contributes to global greenhouse gas emissions. The use of Hansen's data and GEE-based analysis proved effective in continuous and accurate monitoring, supporting policy-making for conservation and more sustainable management of forest resources and mitigation of the impacts of human activities in the region.