Research Interests

Lidar remote sensing, statistical modeling, and radiative transfer modeling.

Education

Ph.D., 2013, Environmental Systems, University of California, Merced.

M.S., 2008, Environmental Engineering, Peking University.

B.S., 2005, Environmental Science, Sun Yat-Sen University.

Employment

Associate Professor, School of Geography and Planning, Sun Yat-Sen University, 2014-now.

Assistant Project Scientist, Sierra Nevada Research Institute, University of California, Merced, 2013-2014.

Publications

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.

Presentations

5. "Three dimensional radiative transfer modeling in forests based on Lidar data", The Fifth Workshop on Lidar Remote Sensing of Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing, 6/3/2019.

4. "Individual tree segmentation from Lidar point cloud data", The First Workshop on Lidar Remote Sensing of Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing, 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.

Honors & Awards

1. Remote Sensing Specialty Group Student Honors Paper (2nd Place), AAG, 2013.

2. Talbert Abrams Award (2nd Honorable Mention), ASPRS, 2013.