Vadim V Khromykh
Department of Geography, Faculty of Geology and Geography, Tomsk State University, Tomsk, Russian Federation

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Spatial Analysis of the Relationship between Vegetation Index and Land Surface Temperature in Ternate Island, Indonesia Heinrich Rakuasa; Vadim V Khromykh; Philia Christi Latue
BIOPENDIX Vol 12 No 1 (2025): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol12issue1page48-57

Abstract

This research focuses on the spatial analysis of the relationship between vegetation index and land surface temperature in Ternate Island, Indonesia, which is becoming increasingly relevant amidst the phenomenon of rapid urbanization. The background of the research shows that land use change has the potential to reduce green open space, contributing to an increase in surface temperature that can trigger the Urban Heat Island (UHI) phenomenon. The methods used include utilizing Landsat 8 OLI/TRIS satellite image data to calculate NDVI and LST values and statistical analysis using Pearson's correlation test and Spearman's rho to identify the relationship between the two. The results showed a significant negative relationship between NDVI and LST, with a Pearson correlation coefficient of -0.613, indicating that areas with better vegetation cover tend to have lower surface temperatures, and non-vegetated areas influence the increase of land surface temperature. The discussion highlights the importance of vegetation in regulating surface temperature through evapotranspiration and shading processes and suggests the need for afforestation strategies to mitigate climate change on Ternate Island
Spatial Analysis of the Impact of Nickel Mining on Vegetation Cover Change in Obi Island, Indonesia Heinrich Rakuasa; Vadim V Khromykh; Ahmad Rifai; Philia Christi Latue
BIOPENDIX Vol 12 No 2 (2025): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol12issue2page77-85

Abstract

The nickel mining activities in Indonesia, particularly on Obi Island, have significantly altered land-use patterns, marked by an expansion of bare land due to topsoil and vegetation removal. This has led to a drastic decline in dense and productive vegetation cover, which previously served as a carbon sink and habitat for local biodiversity. Utilizing Landsat 8 Surface Reflectance Collection 2 Tier 1 imagery (2015, 2020, 2025), this study employed the Normalized Difference Vegetation Index (NDVI) within the Google Earth Engine and ArcGIS Pro platforms to assess spatiotemporal changes in vegetation cover. Results indicate a substantial increase in non-vegetated areas and a significant reduction in moderate-to-high-density vegetation, particularly within the mining core zone, directly attributable to nickel extraction activities, which drive habitat fragmentation and ecosystem degradation. Although rehabilitation and revegetation efforts demonstrate localized success, ongoing mining pressures pose risks of further environmental damage without sustainable management. This study underscores the critical need for stringent environmental regulations and targets ecological restoration to mitigate mining impacts and ensure the long-term sustainability of Obi Island's ecosystems
Spatial Distribution and Suitability of the Endemic Babirusa Habitat (Babyrousa babyrussa) on Buru Island, Maluku using Maximum Entropy Heinrich Rakuasa; Vadim V Khromykh; Philia Christi Latue; Susan E Manakane; Glendy Somae; Benson Joshua
BIOPENDIX Vol 13 No 1 (2026): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol13issue1page41-51

Abstract

Buru Island is the endemic habitat of the Babirusa (Babyrousa babyrussa), facing pressures from human activities and habitat fragmentation. This study used the Maximum Entropy (MaxEnt) modeling method to map the spatial distribution and assess the habitat suitability of Babirusa based on environmental variables including elevation, slope, temperature, land cover, distance to water, and distance from built-up areas. The results show that the habitat is divided into four main classes: Very Low at 24.95%, Low at 31.67%, Moderate at 29.71%, and High at 13.68% of the total island area, which requires more intensive management and protection. Elevation and distance from settlements have an influence but with relatively small contributions, indicating the species’ tolerance to elevation variation. This model provides a scientific basis for integrated conservation strategies, including habitat management, reduction of anthropogenic pressures, and sustainable spatial planning based on habitat suitability to ensure the long-term survival of Babirusa on Buru Island.