Wang Siyuan
Title:
Highest Education: Doctor
Phone: 010-62849153
Email: wangsy@rcees.ac.cn
Homepage:
Education and Appointments:

Dr. Wang is a professor at the State Key Laboratory of Urban and Regional Ecology (SKLUR), Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Dr. Wang is also a professor at the University of Chinese Academy of Sciences. Dr. Wang’s research focuses on remote sensing of environment, remote sensing of global change, land surface pattern and geographic processes. He has presided over 20 national projects, including the National Natural Science Foundation of China, the National 863 and 973 projects, the key research and development program of the Ministry of Science and Technology. He has published more than 150 papers in peer-reviewed journals, such as RSE,STOTEN, JGR, AMF, etc.

Research Interest:

Terrestrial ecosystem and Global change, land surface pattern and geographic process

Remote sensing monitoring and evaluation of ecological environment

Intelligent processing of remote sensing and ecological big data

Remote Sensing and GIS

Selected Publications:
  1. Siyuan Wang, Ming Shen, et al. Application of remote sensing to identify and monitor seasonal and interannual changes of water turbidity in Yellow River estuary, China, Journal of Geophysical Research-Oceans,2019,124, 4904-491.
  2. Siyuan Wang, et al. Responses of net primary productivity to phenological dynamics in the Tibetan Plateau, China. Agricultural and Forest Meteorology, 2017, 232: 235-246.
  3. Siyuan Wang, et al. Temporal trends and spatial variability of vegetation phenology over the Northern Hemisphere during 1982-2012. PLOS ONE, 2016, 11(6): e0157134. doi:10.1371/journal.pone.0157134.
  4. Siyuan Wang, et al. Spatiotemporal patterns of snow cover retrieved from NOAA-AVHRR LTDR: a case study in the Tibetan Plateau, China. International Journal of Digital Earth, 2016, DOI:10.1080/17538947.2016.1231229.
  5. Siyuan Wang, et al. Modification of CFAR Algorithm for Oil Spill Detection from SAR Data. Intelligent Automation & Soft Computing, 2015, 21(2):163-174.
  6. Siyuan Wang, et al. Complex Responses of Spring Alpine Vegetation Phenology to Snow Cover Dynamics over the Tibetan Plateau, China. Science of the Total Environment, 2017, (5940594):449-461.
  7. Siyuan Wang, et al. Temporal change and suitability assessment of cropland in the Yellow River Basin during the last decade. International Journal of Geographical Information Science, 2012, 26(3): 519-539.
  8. Wang Siyuan, Liu Jingshi, Yang Cunjian. Temporal change of landscape erosion pattern in the Yellow River Basin, China. International Journal of Geographical Information Science. 2007,21(10):1077-1092.
  9. Wang Siyuan, Liu Jingshi, Yang Cunjian. Eco-environmental Vulnerability Evaluation in the Yellow River Basin, China. Pedosphere, 2008, 18(2):171-182.
  10. Liu Jingshi, Wang Siyuan, Huang Yuying. Effect of climate change on runoff in a basin with mountain permafrost, Northwest China. Permafrost and Periglacial Processes. 2007.18(4):369-377
  11. Si-Yuan Wang, Jing-Shi Liu and Teng-bo Ma. Land use dynamics and spatial pattern change in Yellow River Basin, China. Land Use Policy, 2009, 27:313-323.
  12. Wang Siyuan, Ding Chibiao, Liu Jingshi. Landscape evolution in the Yellow River Basin using satellite remote sensing and GIS during the last decade. International Journal of Remote Sensing. 2009, 30(21): 5573-5591.
  13. Jing Shi, Liu, Siyuan Wang, Shumei Yu, Daqing Yang, Lu Zhang. Climate warming and growth of high-elevation inland lakes on the Tibetan Plateau. Global and Planetary Change, 2009, 67: 209-217.
  14. Wang Siyuan, Zhang Bing, Yang Cunjian, et al. Temporal change and suitability assessment of cropland in the Yellow River Basin during the last decade. International Journal of Geographical Information Science, 2012, 26(3): 519-539,
  15. Yongfa You, Siyuan Wang et al., Building Detection from VHR Remote Sensing Imagery Based on the Morphological Building Index. Remote Sensing,2018, 10, 1287.
  16. Yongfa You, Siyuan Wang et al., Improved Modeling of Gross Primary Productivity of Alpine Grasslands on the Tibetan Plateau Using the Biome-BGC Model. Remote Sensing,2019, 11, 1287.
  17. Weihua Liu, Siyuan Wang et al., Remote Sensing Retrieval of Turbidity in Alpine Rivers Based on High Spatial Resolution Satellites. Remote Sensing,2019, 11, 3010.
  18. Ming Shen, Siyuan Wang, Yingkui Li, et al. Pattern of Turbidity change in the middle reaches of the Yarlung Zangbo River, southern Tibetan Plateau, from 2007 to 2017. Remote Sensing,2021, 13, 182.
  19. Yongfa You, Siyuan Wang et al., Growth stage-dependent responses of carbon fixation process of alpine grasslands to climate change over the Tibetan Plateau, China. Agricultural and Forest Meteorology, 2020, 291, 108085.
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Supported Projects:

2019-2024, The second comprehensive scientific investigation of the Qinghai-Tibet Plateau: “Aerospace-ground integration of Airborne Water Resources Monitoring and Research on the Qinghai-Tibet Plateau (No. 2019QZKK0204)”;

2017-2022, The National Key R&D program: “Impact of Climate Change on Ecosystem Productivity and Carbon Sequestration Services (No. 2017YFA0604702);

2012-2020, National Major Scientific Installation Project: “Aviation Remote Sensing System: Scientific Target-Oriented Application Support System”;

2016-2018, The major Research Plan of the National Natural Science Foundation of China: “Study on the Monitoring model of River Water Environment in the Alpine Regions based on the Collaboration of Earth Observation Information (No. 91547107);

2013-2016, The National Natural Science Foundation of China: “Study on the Phenomenological Changes of Vegetation on the Tibetan Plateau and Its Biomass Response Mechanism (No. 41271426);

2014-2016, The Overseas cooperation Project of the National Natural Science Foundation of China: “Remote Sensing Study on the Spatiotemporal Evolution Mechanism of Turbidity in the Yellow River Estuary under the Impact of Global Changes and Human Activities (No. 42428103)”.

Honors:

The Most Influential Paper Award of the Chinese Geographical Society (2019);

Highly Cited Papers in the 34 Years since the founding of the Journal of Remote Sensing (2019);

80th Anniversary Highly Cited Paper Award of the Journal of “Acta Geographical Sinica” (2014);

1st-grade Science and Technology Improvement Award, given by the Ministry of Education, China (2005)

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