Sun Gang, male, born in 1978, PhD. Dr. Sun is a Assistant Research Scientist in Institute of Remote Sensing and Digital Earth of CAS and State Key Laboratory of Remote Sensing Science. He is mainly engaged in the research of vegetation nutrient diagnosis by combining optics and radar .

Education

2009.09-2014.01, Doctor of Engineering in Agricultural Mechanization, College of Engineering, China Agricultural University. Supervisor: Wang Xiu.  

2001.07-2004.04, Master of Engineering in Agricultural Mechanization, College of Engineering, China Agricultural University. Supervisor: Zhang Tiezhong.  

1996.09-2000.07, Bachelor of Engineering in Agricultural Mechanization, College of Mechanical and Electronic Engineering, Shandong Agricultural University. 

Research Experience

2011.06-Present, serve as Assistant Research Scientist in Institute of Remote Sensing and Digital Earth of CAS and Carbon Cycle Laboratory of Remote Sensing Science

2004.05-2011.05, engineer in Beijing Research Center for Information Technology in Agriculture

Research areas: vegetation detection equipment R&D; Hyperspectral LiDAR  

Professional Title & Position: Assistant Research Scientist

Research Project

2014.01-2016.12, principal investigator. Project supported by Youth Program of National Natural Science Foundation of China: The Study of Vertical Distribution of Nitrogen Content in Vegetation by Multi-Band Waveform Lidar (No. 41301389.) Research grant: RMB￥250,000.   

Academic Papers

[1] Niu, Z.; Xu, Z.; Sun, G.; Huang, W.; Wang, L.; Feng, M.; Li, W.; He, W.; Gao, S., 'Design of a New Multispectral Waveform LiDAR Instrument to Monitor Vegetation,' Geoscience and Remote Sensing Letters, IEEE , vol.12, no.7, pp.1506,1510, July 2015 doi: 10.1109/LGRS.2015.2410788

[2] Gang Sun ; Zheng Niu ; Shuai Gao ; Wenjiang Huang ; Li Wang ; Wang Li and Mingbo Feng，' 32-channel hyperspectral waveform LiDAR instrument to monitor vegetation: design and initial performance trials ', Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 926331 (November 18, 2014); doi:10.1117/12.2066788;