Name: SUN Zhigang
Current Appointment: Professor
1. University of Tsukuba, Environmental Modelling and Remote Sensing , Ph.D., 2008
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Ecology, M. 2004
3. China Agricultural University, Agricultural Meteorology, B.S., 2001
Areas of Specialization:
1. Multi-scale observation, modelling, and evaluation on agroecosystem
2. Diagnosis and optimization for regional agroecosystem
3. Response and adaptation of agroecosystem to climate change
4. UAV and applications in agriculture
5. Remote sensing & big data and applications in agriculture
6. Optimization of agricultural system and regional sustainable development
1. Outstanding scientist of the CAS ‘Hundreds of Scientists’ Program, 2015, China
2. Outstanding Student Award of Year 2008, University of Tsukuba, Japan
3. Young Author Excellent Paper Award, 2007, The Japan Society of Hydrology & Water Resources, Japan
1. Vice Director of National Yucheng Comprehensive Experimental Station, CAS
2. Vice Director of Center for Agroecosystem Studies, Institute of Geographic Sciences and Natural Resources Research, CAS
3. Professor of University of Chinese Academy of Sciences, teaching courses: Biogeography and Macrosystem Ecology, Ecological Informatics and Ecosystem Modelling
4. Editor of Journal of Resources and Ecology
5. Members of American Geophysical Union, Geographical Society of China, Ecological Society of China, and China Society of Natural Resources
17. Sun, Z.*, Ouyang, Z., and et al. (2018). Recent rebound in observational large-pan evaporation driven by heat wave and droughts by the Lower Yellow River, Journal of Hydrology, 565, DOI: 10.1016/j.jhydrol.2018.08.014.
16. Li, S., Sun, Z.*, Tan, M., Guo, L., and Zhang, X. (2018). Changing patterns in farming–pastoral ecotones in China between 1990 and 2010, Ecological Indicators, 89, 110-117.
15. Zhang, X., Sun, Z.*, and et al. (2018). Simulating greenhouse gas emissions and stocks of carbon and nitrogen in soil from a long-term no-till system in the North China Plain, Soil & Tillage Research, 178, 32-40.
14. Han, D., Wiesmeier, M., Conant, R., Kuhnel, A., Sun, Z., and et al. (2017). Large soil organic carbon increase due to improved agronomic management in the North China Plain from 1980s to 2010s. Global Change Biology, 24 (3), DOI: 10.1111/gcb.13898.
13. Dong, W., et al., and Sun, Z. (2017). Ridge and furrow systems with film cover increase maize yields and mitigate climate risks of cold and drought stress in continental climates. Field Crops Research, 207, 71-78.
12. Guo, L., Sun, Z*, Ouyang, Z., Han, D., and Li, F. (2017). A comparison of soil quality evaluation methods for Fluvisol along the lower Yellow River. Catena, 152, 135-143.
11. Han, D., Sun, Z., and et al. (2016). Changes and controlling factors of cropland soil organic carbon in North China Plain over a 30-year period. Plant and Soil, DOI: 10.1007/s11104-016-2803-7.
10. Sun, Z., Wang Q., Xiao, Q., Batkhishig, O., and Watanabe, M. (2015). Diverse Responses of Remotely Sensed Grassland Phenology to Interannual Climate Variability over Frozen Ground Regions in Mongolia. Remote Sensing, 7(1), 360-377.
9. Sun, Z., Gebremichael, M., and Wang, Q. (2013). Evaluation of empirical remote sensing-based equations for estimating soil heat flux. Journal of Meteorological Society of Japan, 91(5), 627-638.
8. Sun, Z., Gebremichael, M., Wang, Q., Wang, J., Sammis, T.W., and Nickless, A. (2013). Evaluation of clear-sky incoming radiation estimating equations typically used in remote sensing evapotranspiration algorithms. Remote Sensing, 5(10), 4735-4752, DOI:10.3390/rs5104735.
7. Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang, Z, Watanabe, M., and Gebremichael, M. (2013). Further evaluation of the Sim-ReSET model for ET estimation driven by only satellite inputs. Hydrological Sciences Journal, 58(5), 994-1012,DOI:10.1080/02626667.2013.791026.
6. Sun, Z.,Gebremichael, M., and et al. (2012). Estimation of daily evapotranspiration over Africa using MODIS/Terra and SEVIRI/MSG data. Atmospheric Research, 112, 35-44.
5. Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang Z., Watanabe, M., and Gebremichael, M. (2011). Evaluation of the VI-Ts method for estimating land surface moisture index and air temperature using ASTER and MODIS data in the North China plain. International Journal of Remote Sensing, 32(22), 7257-7278.
4. Sun, Z., Gebremichael, M., Ard？, J., and de Bruin, H. A. R. (2011). Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data. Hydrology and Earth System Sciences, 15, 163-170.
3. Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang, Z., and Watanabe, M. (2009). Development of a simple remote sensing evapotranspiration model (Sim-ReSET): algorithm and model test. Journal of Hydrology, 376 (3-4), 476-485.
2. Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang, Z., and Watanabe, M. (2008). A new method to define the VI-Ts diagram using subpixel vegetation and soil information: a case study over a semiarid agricultural region in the North China Plain. Sensors, 8, 6260-6279.
1. Sun, Z., Wang, Q., Ouyang, Z., Watanabe, M., Matsushita, B., and Fukushima, T. (2007). Evaluation of MOD16 algorithm using MODIS and ground observational data in winter wheat field in North China Plain. Hydrological Processes, 21, 1196-1206.
Major Research Projects:
1. Understanding the mechanism of typical crops to environmental stresses through long-term field experiments funded by NSFC
2. Developing the methodology to monitoring crop growing status and agroecosystem quality funded by the CAS and MOST, China
3. UAV remote sensing and its applications in agriculture and environment funded by the CAS
4. Design of agroecosystem on local and regional scales funded by the CAS
Room D114, Building D, IGSNRR
11A Da Tun Road
An Wai, Beijing 100101
People’s Republic of China
Updated on Feb. 15, 2019