2020 Fiscal Year Final Research Report
Transpiration estimates in forests using UAV images and in-situ observations
| Project/Area Number |
18K14492
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 40010:Forest science-related
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| Research Institution | University of Miyazaki |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | 蒸発散 / リモートセンシング / UAV / 地表面温度 / NDVI / 森林 |
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| Outline of Final Research Achievements |
The objective of this study was to develop a procedure for estimating transpiration in forests based on the thermal images of UAVs (Unmanned Aerial Vehicles). I first established a method for calculating the surface temperature from the thermal images of UAVs. Secondly, I revised a model for estimating evapotranspiration using the surface temperature to enhance the applicability of this model to forests. Thirdly, I obtained thermal images in a forest and estimated transpiration using the model and the thermal images.
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| Free Research Field |
国土管理保全学
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| Academic Significance and Societal Importance of the Research Achievements |
近年，UAVから得られる空撮画像については様々な活用が進められているが，熱赤外画像やマルチスペクトル画像の活用手法は，十分には検討されていなかった。本研究によって，その有用性が示されたのは学術的に意義深い。また，本研究により，森林蒸散量推定が，より広域で行える可能性が高まった。森林管理や気候変動が蒸発散ひいては水資源に与える影響の評価など，社会的問題への応用も可能な技術を確立できた点でも意義深い。
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