副研究员/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）：

    近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.

    [6] 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.