| 研究課題/領域番号 |
22K18055
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| 研究機関 | 総合地球環境学研究所 |
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研究代表者 |
NguyenTien Hoang 総合地球環境学研究所, 研究部, 客員助教 (20829379)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | Machine learning / Remote sensing / Ecological modeling |
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| 研究実績の概要 |
The forest cover in the study area has recently been restored, primarily through the planting of non-native trees. Unfortunately, these planted forests do not provide suitable habitats for many wild animals. Using mapping methods from remote sensing data, we were able to identify fragmented natural forest ecosystems and distinguish old-growth natural forests from monoculture plantations. The accuracy of the maps is verified using ground-truth data and official forest inventory records. Additionally, methods for employing UAVs to monitor mammals in tropical forests are being refined and developed. The data collected and forest ecosystem maps will enable more precise delineation of the distribution areas for critically endangered mammal species.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The maps developed are highly accurate, and necessary data for modeling continues to be collected.
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| 今後の研究の推進方策 |
Different machine learning models will be applied and tested for accuracy in predicting the distribution of critically endangered mammals.
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| 次年度使用額が生じた理由 |
Due to personnel changes at the international partner, the field survey has been rescheduled for the upcoming fiscal year.
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