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姓名 周伟奇 性别:
职称 研究员 学历 研究生
电话 0086-10-62849268 传真: 010-62915372
Email: wzhou@rcees.ac.cn 邮编: 100085
地址 北京市海淀区双清路18号
简历:
  教育背景

  2007 自然资源专业博士,美国佛蒙特大学  

  2004 地图学与地理信息系统硕士,中国科学院遥感应用研究所  

  2001 环境科学学士,北京大学  

  2001 计算机科学辅修,北京大学  

  工作经历

  2011年9月至今,中国科学院生态环境研究中心 研究员  

  2008年6月- 2011年8月,美国加州大学戴维斯分校博士后  

  2007年6月- 2008年5月,美国佛蒙特大学博士后

研究方向:
城市生态学、遥感、地理信息系统
招生方向:
专家类别:
高级
职务:
社会任职:

  1201310 -,中国生态学学会副秘书长 

  2201308 -,国际景观生态学会中国分会副秘书长 

  3201508 -,国际城市生态学会中国分会副理事长 

  4201301 -Landscape and Urban Planning编委 

  5201401 -Landscape Ecology编委 

  6201410 -Ecosystem Health and Sustainability编委 

承担科研项目情况:

  (1)国家自然科学基金优秀青年科学基金项目,2015/01-2017/12100万,在研,主持。 

  (2)国家自然科学基金面上项目,41371197,基于高分辨率遥感的城市景观格局演变及其热岛效应研究,2013/01-2016/1275万,在研,主持。 

  (3)国家科技支撑计划城市绿色发展生态技术研究与示范项目,子课题城市热环境调控技术集成及示范2010BAC13B01-12012/01-2015/12121.8万,在研,主持。 

  (4)全国生态环境十年(2000-2010年)变化遥感调查与评估项目,专题城市化区域生态环境十年变化调查与评估 STSN-12-002011/12-2014/061100万,结题,主持 

  (5)全国生态环境十年(2000-2010年)变化遥感调查与评估项目,课题京津唐城市群生态环境状况及十年变化遥感调查与评估 STSN-12-012011/12-2014/06,结题,主持 

  (6) 北京市生态环境变化(2000-2010年)以及对大气、水环境影响的调查与评估项目,北京市生态环境调查成果集成项目,BJMEMC-ZC-2013003-FW2013/02-2013/1273.45万,结题,主持。 

获奖及荣誉:

  中国生态学学会青年科技奖 

代表论著:

  1. Yan, J., L. Lin, W. Zhou, K. Ma, and S. T. Pickett. 2016. A novel approach for quantifying particulate matter distribution on leaf surface by combining SEM and object-based image analysis. Remote Sensing of Environment. Accepted. 

  2. Chen, X., W. Zhou, S. T. Pickett, W. Li, L. Han and Y. Ren. 2016. Diatoms are better indicators of urban stream conditions: A case study in Beijing, China. Ecological Indicators. 60: 265-274. 

  3. Han L, W Zhou, W Li. 2015. Increasing impact of urban fine particles (PM2. 5) on areas surrounding Chinese cities. Scientific reports. 5. 12467; doi: 10.1038/srep12467  

  4. Han L, W Zhou, W Li. 2015. City as a major source area of fine particulate (PM 2.5) in China. Environmental Pollution. 206, 183-187. 

  5. Han L, W Zhou, W Li, DT Meshesha, L Li, M Zheng. 2015. Meteorological and urban landscape factors on severe air pollution in Beijing. Journal of the Air & Waste Management Association. 65(7): 782-787. 

  6. Qian, Y., W. Zhou, W. Yu and S. A. Pickett. 2015. Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data.Landscape Ecology: 1-9. 

  7. Han L., W. Zhou, S.T.A. Pickett, W. Li, and L. Li. 2015. An optimum city size? The scaling relationship for urban population and fine particulate (PM2.5) concentration. Environmental Pollution, 10.1016/j.envpol.2015.08.039 

  8. Qian, Y., W. Zhou, W. Li and L. Han. 2015. Understanding the dynamic of greenspace in the urbanized area of Beijing based on high resolution satellite images.Urban Forestry & Urban Greening 14(1): 39-47. 

  9. Qian, Y., W. Zhou, J. Yan, W. Li and L. Han. 2014. Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery. Remote Sensing 7(1): 153-168. 

  10. Zhou W., M.L. Cadenasso, K. Schwarz, S.T.A. Pickett. 2014. Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification. Remote sensing, 6, 3369-3386.  

  11. Zhou W., Y. Qian, X. Li, W. Li, L. Han. 2014. Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures. Landscape Ecology. 29(1), 153-167. 

  12. Han L., Zhou W., Li W., and Li L. 2014. Impact of urbanization level on urban air quality: A case of fine particles (PM2.5) in Chinese cities. Environmental Pollution, 194, 163-170. 

  13. Li, W., Bai, Y., Zhou, W., Han, C., and Han, L. 2014. Land Use Significantly Affects the Distribution of Urban Green Space: Case Study of Shanghai, China. J.Urban Planning and Development. 10.1061/(ASCE)UP.1943-5444.0000246 

  14. Zhou W. 2013. An Object-Based Approach for Urban Land Cover Classification: Integrating LiDAR Height and Intensity Data. IEEE Geoscience and Remote Sensing Letter, 10(4): 928-931. 

  15. L Han, A Tsunekawa, M Tsubo, W Zhou. 2013. An enhanced dust index for Asian dust detection with MODIS images. International Journal of Remote Sensing. 34 (19), 6484-6495. 

  16. Zhou, W., and M. L. Cadenasso. 2012. Effects of patch characteristics and within patch heterogeneity on the accuracy of urban land cover estimates from visual interpretation. Landscape Ecology. 27(9): 1291-1305. 

  17. Zhou, W., G. Huang, and M. L. Cadenasso. 2011. Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes. Landscape and Urban Planning. 102(1): 54-63. 

  18. Zhou, W., G. Huang, and M. L. Cadenasso. 2011. 90 years of forest cover change in an urbanizing watershed: spatial and temporal dynamics. Landscape Ecology.26: 645-659. 

  19. Zhou, W., K. Schwarz and M. L. Cadenasso. 2010. Mapping Urban Landscape Heterogeneity Agreement between Visual Interpretation and Digital Classification Approaches. Landscape Ecology. 25(1): 53-67. 

  20. Zhou, W. and A. Troy. 2009. Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems.International Journal of Remote Sensing. 30(23): 6343-6360. 

  21. Zhou,W., A. Troy, M. Grove and J. Jenkins, 2009, Can Money Buy Green? Demographic and Socioeconomic Predictors of Lawncare Expenditures and Lawn Greenness in Urban Residential Areas. Society and Natural Resources. 22(8): 744 -760. 

  22. Zhou, W., G. Huang, A. Troy, and M. Cadenasso. 2009. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: a comparison study. Remote Sensing of Environment, 113(8): 1769-1777. 

  23. Zhou, W. and A. Troy, 2008. An Object-oriented Approach for Analyzing and Characterizing Urban Landscape at the Parcel Level. International Journal of Remote Sensing. 29 (11): 3119-3135. 

  24. Zhou,W., A. Troy, and J.M Grove, 2008. Object-based land cover classification and change analysis in the Baltimore Metropolitan Area using multi-temporal high resolution remote sensing data. Sensors 8: 1613-1636. 

  25. Zhou, W., A. Troy, and M. Grove, 2008. Modeling household lawn fertilization practices: Integrating high-resolution remote sensing and socioeconomic data. Environmental Management. 41(5): 742-752. 

  26. Zhou, W., S. Wang, Y. Zhou, and A. Troy. 2006. Mapping the concentrations of total suspended matter in Lake Taihu, China, using Landsat-5 TM data. International Journal of Remote Sensing. 27(6): 1177-1191.


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