研究方向统计模拟、辐射传输模拟、激光雷达遥感.
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教育背景2008-2013：加州大学默塞德分校环境系统专业，博士
2005-2008：北京大学环境工程专业，硕士
2001-2005：中山大学环境科学专业，学士
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工作经历2014-现在：中山大学地理科学与规划学院，副教授
2013-2014：加州大学默塞德分校内华达研究所，助理研究员
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学术论文5.?Li, W.*, Guo, Q., and Elkan, C., 2021. One-class remote sensing classification from positive and unlabeled background data.?IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 730–746.
4.?Li, W.*, Guo, Q., Tao, S., and Su, Y., 2018. VBRT: a novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes. Remote Sensing of Environment, 206: 318–335.
3.?Li, W., and Guo, Q., 2013. How to assess the prediction accuracy of species presence–absence models without absence data?. Ecography, 36(7):?788–799.
2.?Li, W., Guo, Q., Jakubowski M.K, and Kelly, M., 2012. A new method for segmenting individual trees from the lidar point cloud. Photogrammetric Engineering & Remote Sensing, 78(1): 75–84.
1.?Li, W., Guo, Q., and Elkan, C., 2011. Can we model the probability of presence of species without absence data?. Ecography, 34(6): 1096–1105.
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学术报告5. "基于激光雷达数据 (Lidar) 森林三维辐射传输模拟", 第五期激光雷达森林生态应用培训班, 北京香山南辛村20号中国科学院植物研究所, 6/3/2019.
4. "基于激光雷达 (Lidar) 点云的树木切割", 第一期激光雷达森林生态应用培训班, 北京香山南辛村20号中国科学院植物研究所, 6/19/2015.
3. “A New Accuracy Measure for One-Class Classification of Remote Sensing Data”, Association of American Geographers 2013 Annual Meeting, Los Angeles, CA, 4/9/2013. (2nd winner for?Remote Sensing Specialty Group Student Honors Paper Competition)
2. “Seeing Trees from the Lidar Point Cloud”, ASPRS 2012 Annual Conference, Sacramento, CA, 3/22/2012.
1. “Remote Sensing of Forest and Snow Using Lidar”?(poster), FLUXNET and Remote Sensing Open Workshop: Towards Upscaling Flux Information from Towers to the Globe, Berkeley, CA, 06/8/2011.
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获奖情况2. Remote Sensing Specialty Group Student Honors Paper (2nd Place)，美国地理学家协会(AAG)，2013.
1. Talbert Abrams Award (2nd Honorable Mention)，美国摄影测量与遥感协会(ASPRS)，2013.
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