Graduate School of Agriculture
生物環境学専攻
日本語
English
Update date:2025/01/06
Associate Professor
Tsuzuki Hayato
Education
Ehime University
1998
Ehime University
2000
Ehime University
2004
Degree
農学修士
愛媛大学
Research Areas
Research Interests
remote sensing
airborne laser altimetry
森林計測
Research Projects
航空機搭載のレーザー測距儀による広域森林蓄積測定法の開発
特別研究員奨励費
Principal investigator
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Books and Other Publications
Freai Science 2000『Role of forest as a global environmental asset』Field Manual
2000
ふれあいSCIENCE 2000『地球環境の保全に果たす森林の役割』Field Manual(平成12年度文部省科学研究費補助金研究成果公開促進費研究成果公開発表(B)(実験実習形式)マニュアル)(共著)
日本学術振興会・愛媛大学演習林
2000
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Papers
Living biomass of fallow areas under a REDD+ project in mountainous terrain of Northern Laos
2018/01/02
Motoshi Hiratsuka Hayato Tsuzuki Kei Suzuki Takashi Nanaumi Tomoko Furuta Kouhei Niitsuma Chanhsamone Phongoudome Masahiro Amano
Journal of Forest Research
23/ 1, 56-63
Research paper (scientific journal)
10.1080/13416979.2017.1393605
URL
Informa UK Limited
Assessment of Environmental Change in Tropical Peat Swamp Forest by Airborne Laser Altimetry
2018
都築勇人 末田達彦
環境技術(特集 宇宙の眼と鳥の眼による環境測定技術 : 人工衛星からドローンまで)
47/ 6, 307-311
Research paper (scientific journal)
Land Cover Classification using Airborne Laser Data for the Tropical Peat Swamp Forest
2016
Yoshiko MAEDA Hayato TSUZUKI Tatsuo SWEDA
Journal of the Japan society of photogrammetry and remote sensing
55/ 1, 46-54
Research paper (scientific journal)
10.4287/jsprs.55.46
URL
Japan Society of Photogrammetry and Remote Sensing
Estimation of Potential GHG Emission Reduction through Corresponded REDD Plus Activities in Remote Area in Central Kalimantan, Indonesia—Case Study in the Paduran Area
2014
Motoshi Hiratsuka Seiji Iwanaga Hayato Tsuzuki Hirohumi Yaginuma
Open Journal of Forestry
04/ 04, 338-348
Research paper (scientific journal)
10.4236/ojf.2014.44040
URL
URL_2
Scientific Research Publishing, Inc.
Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures
2010/03
Kouiti Hasegawa Hiroshi Matsuyama Hayato Tsuzuki Tatsuo Sweda
REMOTE SENSING OF ENVIRONMENT
114/ 3, 514-519
Research paper (scientific journal)
10.1016/j.rse.2009.10.005
ELSEVIER SCIENCE INC
A new vegetation index, the Normalized Hotspot-signature Vegetation Index (NHVI), is proposed for a better quantitative estimation of leaf area index (LAI) than with the remotely sensed normalized difference vegetation index (NDVI), especially in the boreal forest. To obtain this new index, the Hotspot-Dark-spot index (HDS) (Lacaze et al., 2002) was introduced. HIDS is calculated by the difference between the strongest vector (hotspot) and the weakest vector (dark-spot) of bi-directional reflectance, a given tract of vegetation returns in the reflecting solar position, and the geometric structure of the vegetation canopy, which are poorly represented by NDVI alone. The validity of NHVI was statistically tested using two field data sets of multi-angular observations and LAI from the boreal forests of Canada; one set was our own observations, and the other was from the Boreal Ecosystem-Atmosphere Study (BOREAS). The range of linear correspondence of NHVI with LAI is much wider than that of NDVI alone, indicating significant representation of leaf biomass in the canopy geometry captured by HIDS. With the technical innovation of multi-angular remote-sensing and kernel-driven models in the future, this index has the potential to provide a more accurate evaluation of regional and global LAIs. (C) 2009 Published by Elsevier Inc.
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Allotted Class
2024
Seminar on Water Environmental Reclamation SciencesⅠ
2024
Terrestrial global productivity
2024
Wide-range measurement of forest
2024
Terrestrial global productivity
2024
Terrestrial global productivity
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Professional Memberships
森林計画学会
日本森林学会
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