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硕士生导师
温兆飞

温兆飞

性别:       最高学位:博士        博导/硕导:硕导

邮箱:wenzhaofei@cigit.ac.cn

个人简介:

博士,副研究员,中国科学院“西部之光”青年学者,就职于中国科学院重庆绿色智能技术研究院水库生态学研究中心。

教育经历:

2005/9 - 2009/6 东北师范大学 地理信息系统, 学士

2009/9 - 2012/6 中国科学院东北地理与农业生态研究所 地图学与地理信息系统,硕士

2014/9 – 2017/6 中国科学院重庆绿色智能技术研究院 环境科学,博士

主要研究方向:

植被遥感、河岸带生态系统演变遥感分析、遥感图像处理。

招生专业:

环境科学与工程

代表性成果(含文章、专利、科研项目等):

5年来作为项目负责人或课题负责人,负责包括国家自然基金在内的国家及省部级科技项目6项,总经费300余万元,发表一作或通讯作者论文15篇。

代表性论文:

[1] Wen, Zhaofei, Ce Zhang, Guofan Shao, Shengjun Wu, and Peter M. Atkinson. 2021. 'Ensembles of multiple spectral water indices for improving surface water classification', International Journal of Applied Earth Observation and Geoinformation, 96: 102278.

[2] Chen, Shanshan, Zhaofei Wen*, Songlin Zhang, Ping Huang, Maohua Ma, Xu Zhou, Tao Liao, and Shengjun Wu. 2021. 'Effects of long-term and large-scale ecology projects on forest dynamics in Yangtze River Basin, China', Forest Ecology and Management, 496: 119463.

 

[3] Chen, Shanshan, Zhaofei Wen*, Maohua Ma, and Shengjun Wu. 2021. 'Disentangling Climatic Factors and Human Activities in Governing the Old and New Forest Productivity', Remote Sensing, 13: 3746.

 

[4] Zhou, Xu, Zhaofei Wen*, Yuanyang Huang, Xuemei Yi, Maohua Ma, Tao Liao, and Shengjun Wu. 2021. 'Impacts of Dam Operation on Vegetation Dynamics of Mid-Channel Bars in the Mid-Lower Yangtze River, China', Remote Sensing, 13: 4190.

[5] Wen, Zhaofei, Hong Yang, Ce Zhang, Guofan Shao, and Shengjun Wu. 2020. 'Remotely Sensed Mid-Channel Bar Dynamics in Downstream of the Three Gorges Dam, China', Remote Sensing, 12: 409.

[64] Wen, Zhaofei, Shengjun Wu, Jilong Chen, and Mingquan Lu. 2017. 'NDVI indicated long-term interannual changes in vegetation activities and their responses to climatic and anthropogenic factors in the Three Gorges Reservoir Region, China', Science of the Total Environment, 574: 947-59.

[7] Wen, Zhaofei, Maohua Ma, Ce Zhang, Xuemei Yi, Jilong Chen, and Shengjun Wu. 2017. 'Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data', Ecological Indicators, 83: 441-50.

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