SUN Zhigang,Ph.D., Professor
Center for Agroecosystem Studies
Institute of Geographic Sciences and Natural Resources Research
Chinese Academy of Sciences
11A Datun Road, Chaoyang District, Beijing, 100101, China
Phone: 86-10-6488-9523
E-mail: sun.zhigang@igsnrr.ac.cn
Research Experience
Jul 2014–present, Professor, Chinese Academy of Sciences · Institute of Geographic Sciences and Natural Resources Research · Center for Agro-ecosystem Studies, China · Beijing.
Apr 2011–Jun 2014, Associate Researcher, National Institute for Environmental Studies · Center for Regional Environmental Research, Japan · Tsukuba.
Jul 2009–Mar 2011, Postdoctoral Researcher, University of Connecticut · Department of Civil and Environmental Engineering, USA · Storrs.
Apr 2008–Jun 2009, Postdoctoral Researcher, National Institute for Environmental Studies· Asian Environment Research Group, Japan · Tsukuba.
Sep 2004–Mar 2008, Research Assistant, National Institute for Environmental Studies · Asian Environment Research Group, Japan · Tsukuba.
EDUCATION
Sep 2004–Mar 2008, University of Tsukuba, Environmental Modelling and Remote Sensing · Ph.D., Japan · Tsukuba.
Sep 2001–Jul 2004 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Ecology · Master, China · Beijing.
Sep 1997–Jul 2001 China Agricultural University Agrometeorology · Bacholer, China · Beijing.
RESEARCH INTERESTS
Multi-scale observation, modelling, and evaluation on agroecosystem
Response and adaptation of agroecosystem to climate change
UAV and applications in agriculture
Remote sensing & big data and applications in agriculture
Optimization of agricultural system and regional sustainable development
Improvement and comprehensive utilization of saline-alkali land
Society Appointments
Vice Director of National Yucheng Comprehensive Experimental Station, CAS
Vice Director of Center for Agroecosystem Studies, Institute of Geographic Sciences and Natural Resources Research, CAS
Professor of University of Chinese Academy of Sciences
Editor of Journal of Resources and Ecology
Members of American Geophysical Union, Geographical Society of China, Ecological Society of China, China Association of Agricultural Science Societies, and China Society of Natural Resources
Selected Publications
1. Zhu, W., Rezaei, E.E., Sun, Z.*, Wang, J., Siebert, S. (2024). Soil-climate interactions enhance understanding of long-term crop yield stability. European Journal of Agronomy, 161, 127368.
2. Wang, J., Sun, Z.#, Yang, T., et al. (2024). Quantifying the effect of salinity on dielectric-based soil moisture measurements using COSMOS records. Journal of Hydrology, 643, 131925.
3. Li, Y., Sun, Z.*, Deng, X., Accatino, F. (2024). Reducing livestock quantities to avoid manure nitrogen surplus: would meat self-sufficiency be met in eastern regions of China? Resources, Environment and Sustainability, 16, 100156.
4. Li, Y., Shi, Y., Deng, X., Sun, Z.*, Accatino, F. (2024). Increasing food and feed self-sufficiency and avoiding manure N surplus in eastern regions of China through a spatial crop-livestock optimisation model. Agricultural Systems, 217, 103911.
5. Yang, T., Wang, J., Sun, Z.* (2024). Can the Soil Salinity be Retrieved Using GNSS Interferometric Reflectometry Data? IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 10612-10620.
6. Wang, J., Yang, T., et al., Sun, Z.* (2023). A novel retrieval model for soil salinity from CYGNSS: Algorithm and test in the Yellow River Delta. Geoderma, 432, 116417.
7. Peng, J., et al., Sun, Z.*, Xin, X. (2023). Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features. International Journal of Applied Earth Observation and Geoinformation, 124, 103494.
8. Zhu, W., et al., Sun, Z.* (2023). UAV Flight Height Impacts on Wheat Biomass Estimation via Machine and Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 7471-7485.
9. Li, Y., Sun, Z.*, Accatino, F. (2022). Satisfying meat demand while avoiding excess manure: Studying the trade-off in eastern regions of China with a nitrogen approach. Science of The Total Environment, 816, 151568.
10. Zhu, W., et al., Sun, Z.* (2022). UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases. Field Crops Research, 284, 108582.
11. Sun, Z., et al. (2021). Does actual cropland water consumption change with evaporation potential in the Lower Yellow River? Agriculture Ecosystems & Environment, 316, 107468.
12. Zhu, W., Sun, Z.*, et al. (2021). Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping. Precision Agriculture, 22,1768-1802.
13. Zhu, W., Sun, Z.*, et al. (2020). Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales. Computers and Electronics in Agriculture, 178, 105786.
14. Zhu, K., Sun, Z.*, et al. (2020). Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 197-207.
15. Sun, Z.*, et al. (2019). A new global dataset of phase synchronization of temperature and precipitation: Its climatology and contribution to global vegetation productivity. Geoscience Data Journal, 6, 126-136.
16. Sun, Z.*, Ouyang, Z., 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, 237-247.
17. Li, S., Sun, Z.*, Tan, M., Guo, L., Zhang, X. (2018). Changing patterns in farming–pastoral ecotones in China between 1990 and 2010. Ecological Indicators, 89, 110-117.
18. Zhang, X., Sun, Z.*, 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.
19. Dong, W., et al., 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.
20. Guo, L., Sun, Z.*, Ouyang, Z., Han, D., Li, F. (2017). A comparison of soil quality evaluation methods for Fluvisol along the lower Yellow River. Catena, 152, 135-143.
21. Sun, Z., Gebremichael, M., et al. (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.
22. Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang, Z., 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.
Updated in Nov., 2024