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Dian Yuanyong

College of Horticulture and Forestry Sciences, HZAU > Connect with Faculty > Dian Yuanyong
Dian Yuanyong

Degree: Ph.D.
Title: Associate Professor
Graduation School: Wuhan University

Office: 311, North Building

Contact Here dianyuanyong@mail.hzau.edu.cn
Brief Introduction
My resarch focuses on Multispectral and hyperspectral technology using in forestry, Quantity assessment of canopy parameters using Lidar, UAV, and Assess and monitor forest dynamic change.
 
Educational

[1] 09/2007 – 06/2011,Ph.D in School of Remote Sensing Information and Engineering ,Wuhan University, China
[2] 09/2003 – 06/2005: Master degree in School of Remote Sensing Information and Engineering, Wuhan University, China
[3] 09/1999 – 06/2003: Bachelor degree in School of Remote Sensing Information and Engineering, Wuhan University

Work

[1] 11/2011 – 11/2013, Post Ph.D. in Chinese Academic of Forestry, Institution of forestry Resource Information
[2] 07/2005 – 12/2015 ,Huazhong Agriculture University, Lecturer
[3] 1/2016- now, Huazhong Agriculture University, Associate Professor

Research

(1) Zhang, Y.; Dian, Y.; Zhou, J.; Peng, S.; Hu, Y.; Hu, L.; Han, Z.; Fang, X.; Cui, H. Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China. Remote Sens. 2021, 13, 4682. https://doi.org/10.3390/rs13224682
(2) Zhou, J.-J.; Zhang, Y.-H.; Han, Z.-M.; Liu, X.-Y.; Jian, Y.-F.; Hu, C.-G.; Dian, Y.-Y*.. Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities. Remote Sens. 2021, 13, 2160. https://doi.org/10.3390/rs13112160
(3) Han, Zemin.; Dian, Yuanyong.; Xia, Hao; Zhou, Jingjing.; Jian, Yongfeng.; Yao, Chonghuai.; Wang, Xiong.; Li, Yuan. Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images. ISPRS Int. J. Geo-Inf. 2020, 9, 478. https://doi.org/10.3390/ijgi9080478
(4) Zhou Jingjing,Zhou Zhixiang,Zhao Qingxia,Han Zeming,Wang Pengcheng, Xu Jie, Dian Yuanyong*. Evaluation of different algorithms for estimating the growing stock volume of Pinus massoniana plantations using spectral and spatial information from SPOT6 image. Forests,2020,11,540.
(5) Zhou, Jingjing.; Dian, Yuanyong*; Wang, Xiong.; Yao, Chonghuai.; Jian, Yongfeng.; Li, Yuan.; Han, Zeming. Comparison of GF2 and SPOT6 Imagery on Canopy Cover Estimating in Northern Subtropics Forest in China. Forests 2020, 11, 407.

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