2022 Fiscal Year Research-status Report
Development of a machine learning-based species distribution model and its application to conservation planning of critically endangered mammal
| Project/Area Number |
22K18055
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| Research Institution | Research Institute for Humanity and Nature |
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Principal Investigator |
NguyenTien Hoang 総合地球環境学研究所, 研究部, 特任助教 (20829379)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | Machine learning / Remote sensing / Ecological modeling |
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| Outline of Annual Research Achievements |
During the initial year, I analyzed satellite imagery to create a map of land use changes and deforestation patterns in the study area over the past decade. Furthermore, various machine learning techniques have been evaluated to predict the locations where local people typically harvest forest resources. These results, which were presented at the NERPS Conference and the General Meeting of the AJG, serve to pinpoint intact forests where rare species are likely to exist.
Additionally, I conducted a survey to collect ground truth data to enhance forest mapping accuracy and assess the applicability of thermal sensing with drone technology for wildlife monitoring.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Despite some deviations from the initial plan, I believe the research is generally progressing smoothly.
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| Strategy for Future Research Activity |
I intend to move forward with the research as initially planned.
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| Causes of Carryover |
Certain research activities are being postponed to the upcoming fiscal year due to the impact of the coronavirus pandemic.
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