IDENTIFICATION OF GLOBAL HUMAN-WILDLIFE CONFLICT POTENTIAL ZONES BASED ON MULTI-SOURCE REMOTE SENSING DATA AND MACHINE LEARNING
<p align="justify">Climate change and biodiversity loss are major challenges that could lead to something like mass extinction after 66 million years. Currently, over 41,000 species are threatened with extinction, accounting for 28% of the world's species. This is due to rapid u...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/73425 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | <p align="justify">Climate change and biodiversity loss are major challenges that could lead to something like mass extinction after 66 million years. Currently, over 41,000 species are threatened with extinction, accounting for 28% of the world's species. This is due to rapid urbanization and development projects, disasters, fires, and conflicts between animals and humans. The ecological and socio-economic impacts of human interactions that destroy crops and extreme weather events such as droughts, floods, and landslides that cause shifts in native habitats. Attacks carried out by animals in areas around settlements that have food such as rice fields, plantations, etc. Thus, further research is needed on the potential conflict zones between humans and animals using global remote sensing data using machine learning and the impact of global environmental-climate pressures and shifts based on food sources. The results obtained Global Mammal Habitat suitability index with Random forest, SVM, MaxEnt, and Agreement accuracy are 0.83 (High), 0.721 (Medium), 0.801 (High), and 0.800 (High), respectively. The Environmental Stress Index that has been created is the Standardarized Precipitation Index (SPI) to identify drought has a level of significance based on La Nina and El Nino, and Potential Conflict Locations in 4 month periods there are several locations that have the highest potential for conflict including North Africa, South Africa, and Central America.
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