Peng Dailiang (male), born in Anqing City of Anhui Province in 1980, now works at Institute of Remote Sensing and Digital Earth of CAS as a Research Associate, as well as a member of the Youth Innovation Promotion Association of CAS. His areas of research are remote sensing of vegetation and global change. Up to 2014, he has published over 50 academic papers in this field, including 20 papers in the SCI-indexed journals. He has also undertaken 8 research projects as the Principal Investigator, and participated in more than 10 major projects that have been included in the Program 973, 863 Program, International Cooperation Program, or the “One-Three-Five” Strategic Planning. Moreover, he works as a referee for more than 10 renowned international journals, such as Remote Sens. Environ, Agric. For. Meteorol., IEEE TGRS, IEEE J-STARS, Int. J. Digit. Earth, and J. Appl. Remote Sens.

Education

2011.10-2011.11. Commonwealth Scientific and Industrial Research Organization, Carbon Accounting Model

2008.10 - 2009.10. Biophysics and Remote Sensing, University of Arizona. 

2004.09 - 2009.12. Agricultural Remote Sensing and Information Technology, 

College of Environmental & Resource Sciences, Zhejiang University. 

2000.09 - 2009.06. Agricultural Resources, Anhui Science and Technology University.

Experience

2012.12 – Present  Institute of Remote Sensing and Digital Earth of CAS, CAS Key Laboratory of Digital Earth Sciences

2010.03 - 2012.12.  Center for Earth Observation and Digital Earth of CAS, CAS Key Laboratory of Digital Earth Sciences

Research Areas: Remote Sensing of Vegetation Ecology; Global Change

Professional Title & Position: Research Associate

Major Research Projects

[1] 2011-2013, project of CAS Digital Earth Science Platform: Space Observation of the Response of Vegetation Ecosystem to Global Climate Change.

[2] 2013-2015, project supported by NSFC: Study on the FPAR Estimation Model and Observation Method for Low-laying Grassland Based on Digital Camera.

Academic Papers

[1] Dailiang Peng, Bing Zhang, Liangyun Liu, Hongliang Fang, Dongmei Chen,Yong Hu, Lingling Liu. 2012. Characteristics and drivers of global NDVI-based FPAR from 1982 to 2006. Global Biogeochemical Cycles. 26，GB3015.

[2] Dailiang Peng, Jingfeng Huang, Cunjun Li, Liangyun Liu, Wenjiang Huang, Fuming wang, Xiaohua Yang. 2013. Modelling paddy rice yield using MODIS data. Agricultural and Forest Meteorology. 184(15)：107–116.

[3] Dailiang Peng, Alfredo R Huete, Jingfeng Huang, Fuming Wang, Huasheng Sun. 2011. Detection and estimation of mixed paddy rice cropping patterns with MODIS data. International Journal of Applied Earth Observation and Geoinformation, 13(1):13-23.

[4] Dailiang Peng, Bing Zhang, Liangyun Liu. 2012. Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods. International Journal of Digital Earth, 5(4), 283-298.

[5] Dailiang Peng, Bing Zhang, Liangyun Liu, Dongmei Chen, Hongliang Fang, Yong Hu, 2012. Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI. International Journal of Digital Earth, 5(5):439-455.

[6] Dailiang Peng, Zhangyan Jiang, Alfredo R. Huete, Guillermo Ponce-Campos, Uyen Nguyen, Jeffrey C. Luval. 2013. Response of spectral reflectances and vegetation indices on varying Juniper cone densities. Remote Sensing. 5(10), 5330-5345.

[7] Dailiang Peng, Jingfeng Huang, Alfredo R Huete, Taiming Yang, Ping Gao, Yanchun Chen, Hui Chen, Jun Li, Zhanyu Liu. 2010. Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data. Journal of Zhejiang University SCIENCE B. 11(4):275-285.

[8] Dailiang Peng, Jingfeng Huang, Chenxia Cai, Rui Deng, Junfeng Xu. 2008. Assessing the response of seasonal variation of NPP to climate using remote sensing data and GIS techniques in Xinjiang province. Journal of integrative Plant Biology. 50(12):1580-1588.

Honors & Awards

[1] 2007, Second Prize (ranked the third) of Xinjiang Uygur Autonomous Region 

Meteorological Science and Technology Achievement Award

[2] 2006, National Remote Sensing Academic Conference Outstanding Youth Scientist Paper Award