Research Interests
Years of work experience in the industry have taught me that only by truly solving the pain points within the industry can help more ordinary people benefit from remote sensing technology. Currently the rapid processing capacity of massive remote sensing image data is insufficient, and the data use efficiency is not enough since various data collection methods. The pain points also put forward higher requirements on the data storage, processing, analysis and distribution process, which affects the application of remote sensing images in the actual industry to a certain extent. Thus, my research interest focus on migrating advanced technology such as AI technology into remote sensed data fusion and processing to improve the efficiency of data usage, and applied into industrial applications to solve the real environment related problems.
Education
- M.Sc., Geomatics, University of Waterloo, 2016
- B.Sc., Geographic Information System, Tianjin Normal University, 2011
Publications
- Zhao H, Ma L, Wang L, Li J, 2016. Examining urban expansion using multi-temporal Landsat imagery: a case study of Montreal Census Metropolitan Area, IGARSS 2016, July 10-15, Beijing, China. (IEEE: EI).
- Wang L, Li W, Wang S, Li J, 2015. Examining urban expansion in the Greater Toronto Area using Landsat imagery from 1974-2014, Geomatica, 69(2): 75-81 (CIG: EI).
- Wang L, Li J, Duguay C, Li D, 2015. Evaluation of regional-scale snow albedo characteristics during winter season from 2003 to 2014, IGARSS 2015, July 26-31, Milan, Italy, pp. 743-746 (IEEE: EI)
- Wang L, Wang S, Li W, Li J, 2014. Monitoring urban expansion of the Greater Toronto Area from 1985 to 2013 using Landsat images, IGARSS 2014, July 13-18, Québec City, Québec, pp. 4264-4267 (IEEE: EI)