遥感与地理信息工程系

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李文楷 [副教授]

李文楷

联系方式

办公电话:

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电子邮箱:liwenk3@mail.sysu.edu.cn

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研究方向

遥感影像分类,激光雷达遥感,物种分布模拟,辐射传输模拟.


学历背景

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

工作经历

2014-现在:中山大学地理科学与规划学院,副教授(百人计划)

2013-2014:加州大学默塞德分校内华达研究所,助理研究员

社会任职

Remote Sensing of Environment, Photogrammetric Engineering & Remote Sensing,Remote Sensing,International Journal of Remote Sensing,Ecography, Climate Change, Computers, Environment and Urban Systems等期刊审稿人


讲授课程

  1. 遥感图像处理

  2. 遥感与GIS应用软件实践教学与科研训练

论著专利

(一)学术论文 (*通信作者)

21. Li, W.*, Guo, Q., Tao, S., Su, Y., 2018. VBRT: a novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes. Remote Sensing of Environment, 206: 318–335.

20. Liu, R., Li, W.*, Liu, X., Lu, X., Li, T., Guo, Q., 2018. An ensemble of classifiers based on positive and unlabeled data in one-class remote sensing classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2): 572–584.

19. Deng, X., Li, W.*, Liu, X., Guo, Q., Newsam, S., 2018. One-class remote sensing classification: one-class vs. binary classifiers. International Journal of Remote Sensing, 39 (6): 1890–1901.

18. Su, Y., Bales, R., Ma, Q., Nydick, K., Ray, R., Li, W., Guo, Q., 2017. Emerging stress and relative resiliency of Giant Sequoia groves experiencing multi-year dry periods in a warming climate: Emerging stress of Giant Sequoia groves. Journal of Geophysical Research: Biogeosciences, 122, 3063–3075.

17. Ao, Z., Su Y., Li, W., Guo, Q., Zhang, J. 2017. One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. Remote Sensing, 9 (10): 1001; doi:10.3390/rs9101001.

16. Tao, S., Wu, F., Guo, Q., Wang, Y., Li, W., Xue, B., Hu, X., Li, P., Tian, D., Li, C., Yao, H., Li, Y., Xu, H., Fang, J., 2015. Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories. ISPRS Journal of Photogrammetry and Remote Sensing, 110: 66–76.

15. Su, Y., Guo, Q., Ma, Q., Li, W., 2015. SRTM DEM correction in vegetated mountain areas through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. Remote Sensing, 7: 11202–11225.

14. Tao, S., Guo, Q., Li, L., Xue, B., Kelly, M., Li, W., Xu, G., Su, Y., 2014. Airborne Lidar-derived volume metrics for aboveground biomassestimation: A comparative assessment for conifer stands. Agricultural and Forest Meteorology, 198–199: 24–32.

13. Doherty, P., Guo, Q., Alvarez, O., Li, W., and Doke, J.T., 2014. Space-time analyses for forecasting and understanding future incident occurrence: a case-study from Yosemite National Park using the presence and background learning algorithm. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2014.890202.

12. Lu, X., Guo, Q., Li, W., and Flanagan, J., 2014. A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data. ISPRS Journal of Photogrammetry and Remote Sensing, DOI: 10.1016/j.isprsjprs.2014.03.014.

11. Li, W., and Guo, Q., 2014. A new accuracy assessment method for one-class remote sensing classification. IEEE Transactions on Geoscience and Remote Sensing, 52(8): 4621–4632.

10. Alvarez, O., Guo, Q., Klinger, R.C., Li, W., and Doherty, P., 2014. Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation. International Journal of Climatology, 34(7): 2258–2268.

09. Jakubowski, M.K., Li, W., Guo, Q., and Kelly, M., 2013. Delineating individual trees from lidar data: a comparison of vector- and raster-based segmentation approaches. Remote Sensing, 5(9): 4163–4186.

08. 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.

07. Guo, Q., Li, W.,  Liu, D., and Chen, J., 2012. A framework for supervised image classification with incomplete training samples. Photogrammetric Engineering & Remote Sensing, 78(6): 595–604.

06. 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. (Second Honorable Mention recipients for the 2013 Talbert Abrams Award)

05. 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.

04. Guo, Q., Li, W., Liu, Y., and Tong, D., 2011. Predicting potential distributions of geographic events using one-class data: concepts and methods. International Journal of Geographical Information Science, 25 (10): 1697–1715.

03. Li, W., Guo, Q., and Elkan, C., 2011. A positive and unlabeled learning algorithm for one-class classification of remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 49(2): 717–725.

02. Guo, Q., Li, W., Yu, H., and Alvarez, O., 2010. Effects of topographic variability and lidar sampling density on several DEM interpolation methods. Photogrammetric Engineering & Remote Sensing, 76(6): 701–712.

01. Li, W., and Guo, Q., 2010. A maximum entropy approach to one-class classification of remote sensing imagery. International Journal of Remote Sensing, 31(8): 2227–2235.

01. 郭庆华, 刘瑾, 陶胜利, 薛宝林, 李乐, 徐光彩, 李文楷, 吴芳芳, 李玉美, 陈琳海, 庞树鑫, 2014. 激光雷达在森林生态系统监测模拟中的应用现状与展望. 科学通报, 59(6): 459–478.

(二)学术报告

6. "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.

5. “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)

4. “Seeing Trees from the Lidar Point Cloud”,ASPRS 2012 Annual Conference, Sacramento, CA, 3/22/2012.

3. “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.

2. “A Maximum Entropy Approach to One-Class Classification of Remote Sensing Imagery”, Association of American Geographers 2010 Annual Meeting, Washington, DC, 4/14/2010.

1. “Deriving DEM from LiDAR Data with Different Interpolation Methods”, Association of American Geographers 2009 Annual Meeting, Las Vegas, NV, 3/25/2009.

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.