SHI Zhou is the Qiushi Distinguished Professor of Zhejiang University, and vice dean of College of Environmental and Resource Sciences of Zhejiang University in China. He has an undergraduate degree in geography science from Hangzhou University, and a MAgr and PhD degrees in agricultural resources and environment from Zhejiang University. He was awarded the title of “New Century Talents in University” from the Ministry of Education of China in 2009.
He specialize in the use of mathematical methods and information technology to measure and model soil in space and time to help increase productivity, reduce soil degradation and increase carbon storage, especially involved in research of pedometrics, proximal soil sensing, soil spectroscopy, and digital soil mapping. He has more than 210 journal publications, won numerous awards of the Scientific and Technological Progress in China. He was elected as the chair of Working Group of Proximal Soil Sensing in International Union of Soil Science (2016-2019), and the chair of Committee of Soil Remote Sensing and Information System in Soil Science Society of China (2012-2020). He has collaborated with more than ten international institutes and taken research activities at the University of Tokyo, CSIRO, Rothamsted Research，University of Cambridge, German Aerospace Center, Dresden University of Technology, Queen’s University of Belfast as a visiting scholar.
More information can be found in https://person.zju.edu.cn/en/shizhou.
1. Liang Z Z, Chen S C, Yang Y Y, Zhao R Y, Shi Z*, Viscarra Rossel R A. 2019. National digital soil map of organic matter in topsoil and its associated uncertainty in 1980's China. Geoderma, 335:47-56.
2. Zhou Y, Hartemink A, Shi Z*, Liang Z Z, Lu Y L.2019. Land use and climate change effects on soil organic carbon in North and Northeast China. Science of the Total Environment, 647:1230-1238.
3. Peng J, Biswas A, Jiang Q S, Zhao R Y, Hu B F, Shi Z*. 2019. Estimating soil salinity from remote sensing and terrain data in Southern Xinjiang province, China. Geoderma, accepted.
4. Zhou Y, Webster R, Viscarra Rossel R A, Shi Z*, Chen S C. 2019. Baseline map of soil organic carbon in Tibet and its uncertainty in 1980s. Geoderma, 334：124-133.
5. Xu D Y, Zhao R Y, Li S, Chen S C, Jiang Q S, Zhou L Q, Shi Z. 2018. Multi-sensor fusion for the determination of several soil properties in the Yangtze River Delta, China. European Journal of Soil Science, accepted.
6. Chen S C, Li S, Xu D Y, Ma W C, Shi Z*, Zhang G L. 2018. Rapid determination of soil classes in soil profiles using vis–NIR spectroscopy and Multiple Objectives Mixed Support Vector Classification. European Journal of Soil Science, accepted.
7. Teng H F, Hu J, Zhou Y, Zhou L Q, Shi Z. 2018. Modelling and mapping soil erosion potential in China. Journal of Integrative Agriculture, accepted.
8. Xia C Y,Li Y，Xu T B, Y Y M, Shi Z, Peng Y, Liu J M.2018. Quantifying the spatial pattern of urban carbon metabolism: A case study of Hangzhou, China. Ecological Indicators, 95:474-484.
9. Li Z, Hu Y M, Zhou W, Liu Z H, Pan Y C, Shi Z, Wang L, Wang G X. 2018. Estimation methods for soil mercury content using hperspectral remote sensing. Sustainability, 10, 2474.
10. Shi T Z,Hu Z W,Shi Z,Guo L,Chen Y Y, Li Q Q, Wu G F. 2018. Geo-detection of factors controlling spatial pattern of heavy metals in urban topsoil using multi-source data. Science of the Total Environment. 643: 451-459.
11. Zhao R Y, Biswas A, Zhou Y, Zhou Y, Shi Z*, Li H Y.2018. Identifying localized and scale-specific multivariate controls of soil organic matter variations using multiple wavelet coherence. Science of the Total Environment. 643: 548-558.
12. Yang Y Y, Zhao R Y, Shi Z*, Viscarra Rossel R A,Wang D,Liang Z Z. 2018. Integrating multi-source data to improve water erosion mapping in Tibet, China. Catena.169:31-45.
13. Shao S, Hu B F, Fu Z Y,Wang J Y, Lou G, Zhou Y, Jin B, Li Y, Shi Z. 2018. Source identification and aportionment of trace elements in soils in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health. 15,1240.
14. Teng H F,Liang Z Z,Chen S C,Yu W,Viscarra Rossel R A, Shi Z*, Chappell A. 2018. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models. Science of the Total Environment.635:673-686.
15. Hu B F,Zhao R Y,Chen S C,Zhou Y,Jin B, Li Y, Shi Z. 2018. Heavy metal pollution delineation based on uncertainty in a coastal industrial city in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health. 15, 710.
16. Teng H F,Viscarra Rossel R A, Shi Z, Behrens T. 2018. Updating a national soil classification with spectroscopic predictions and digital soil mapping. Catena. 164: 125-134.
17. Shi T Z, Guo L, Chen Y Y, Wang W X, Shi Z, Li Q Q, Wu G F. 2018. Proximal and remote sensing techniques for mapping of soil contamination with heavy metals. Applied Spectroscopy Reviews.
18. Ma Z Q,He K, Peng J, Chen Q X, Shi Z. 2018. Spatial and temporal precipitation patterns characterized by TRMM TMPA over the Qinghai-Tibetan Plateau and surroundings. International Journal of Remote Sensing.39:3891-3907.
19. Xu D Y,Ma W Z,Chen S C,Jiang Q S,He K, Shi Z. 2018. Assessment of important soil properties related to Chinese Soil Taxonomy based on vis–NIR reflectance spectroscopy. Computers and Electronics in Agriculture.144;1-8.
20. Guo Y D,Zhao R Y, Zheng Y N,Zhou Q,Shi Z.2018.Identifying scale-specific controls of soil organic matter distribution in mountain areas using anisotropy analysis and discrete wavelet transform. Catena.160：1-9.