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 |