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J-GLOBAL ID:201101093325199320   Update date: Sep. 25, 2024

Quan Wang

ワン クアン | Quan Wang
Affiliation and department:
Job title: Professor
Research field  (3): Forest science ,  Ecology and environmental science ,  Environmental dynamics
Research keywords  (1): Remote Sensing
Research theme for competitive and other funds  (8):
  • 2016 - 2020 ハイパースペクトルによるキャノピー機能評価
  • 2016 - 2020 Assessing canopy scale functions through reflected spectra: a road towards functional biogeography
  • 2015 - 2017 Reflected spectral properties of Rubisco: New indices developing and their applications
  • 2013 - 2017 To which extent can desert ecosystem stands for water shortage? Multiple-scale evaluations of desert ecosystem vulnerability
  • 2009 - 2012 Is desert a place for carbon sink? Towards clarifying the dynamics of inorganic carbon in Saline-alkaline soils
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Papers (58):
  • Xue, W, He, X, Wang, Q, Shi, P, Lv, G, Huang, J, Yang, D, Zhang, J. An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees. Agricultural and Forest Meteorology. 2024
  • Jie Zhuang, Quan Wang. Integrating leaf spectral and water status information to effectively track chlorophyll a fluorescence parameters during dehydration. Physiologia Plantarum. 2024
  • Zhang, Z, Zhu, K, Fan, M, Wang, Q, Tan, Y. Diffuse Fertilization Effect in Maize and Soybean Is Driven by Improved Light Use Efficiency Rather Than by Light Absorption. Journal of Geophysical Research: Biogeosciences. 2024
  • Gan, Y, Wang, Q, Song, G. Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs. Remote Sensing. 2024
  • Sun, X, Wang, Q, Song, G. Revisiting generic allometric equations for estimating forest aboveground biomass in Japan: importance of incorporating plant functional types and origins. Biomass and Bioenergy. 2024
more...
MISC (30):
  • Song, G, Wang, Q. Species classification from hyperspectral leaf information using machine learning approaches. Ecological Informatics. 2023
  • Yunhui Tan, Quan Wang, Zhaoyang Zhang. Coupling the linear mixed effects model with random forest improves hourly PM2.5 estimation from Himawari-8 AOD over the Yangtze River Delta. Atmospheric Pollution Research. 2023. 5
  • Tan, Y, Wang, Q, Zhang, Z. Algorithms for separating diffuse and beam irradiance from data over the East Asia-Pacific region: A multi-temporal-scale evaluation based on minute-level ground observations. Solar Energy. 2023. 218-233
  • Gan, Y, Wang, Q, Iio, A. Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics. Remote Sensing. 2023
  • Han, S.,Hu, Q, Yang, Y, Wang, J, Wang, P. Characteristics and driving factors of drainage water in irrigation districts in arid areas. Water Resources Management. 2015. 29. (14). (5323)-(5337)
more...
Books (2):
  • Green Science and Technology
    CRC Press 2019
  • Hyperspectral Indices and Image Classifications for Agriculture and Vegetation 2nd Edition
    CRC Press 2018
Lectures and oral presentations  (113):
  • Retrieval of equivalent water thickness retrieval using hybrid methods based on hyperspectral reflectance
    (The 10th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2024) 2024)
  • Addressing the challenge of within-canopy variability in chlorophyll fluorescence parameters using a machine learning method
    (The 10th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2024) 2024)
  • 落葉広葉樹林の葉面積指数を推定可能なUAV-LiDARによるLPIの手法は何か?
    (第13回中部森林学会大会 2023)
  • ULS LiDAR Penetration Indexによる葉面積指数の評価
    (第134回日本森林学会大会 2023)
  • Validation of diffuse and beam irradiance separation models in the East Asia-Pacific region
    (The 9th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2023) 2023)
more...
Professional career (1):
  • 理学博士 (中国科学院植物研究所)
Association Membership(s) (2):
日本写真測量学会 ,  日本リモートセンシング学会
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