Education:
Ph.D. in Geography, University at Buffalo, Buffalo, NY, USA
M.S. in Surveying and Mapping Engineering, Wuhan University, Wuhan, Hubei Province, China
B.S. in Remote Sensing Science and Technology, Wuhan University, Wuhan, Hubei Province, China
Research Interests:
Large-scale mangrove monitoring, Individual tree delineation, Remote Sensing, Google Earth Engine, machine learning and species distribution modelling.
Grants and Awards:
2020 Student Honors Paper Competition Award, Remote Sensing Specialty Group
2020 Annual Meeting of the Association of American Geographers
2022 Excellence in Teaching Award for TAs, Department of Geography, University at Buffalo
2022 Abrahams-Woldenberg Field Scholarship, Department of Geography, University at Buffalo
2023 Celebration of Student Academic Excellence, University at Buffalo
Recent Courses Taught:
GEO 102 Introduction to Human Geography (instructor)
GEO 105 Earth, Environment, and Climate Laboratory (Lab Section)
GEO 381 Cartography (Lab Section)
GEO 483/553 Remote Sensing (Lab Section)
Publications:
Ruixuan Li, Le Wang & Ying Lu (2023) A comparative study on intra-annual classification of invasive saltcedar with Landsat 8 and Landsat 9, International Journal of Remote Sensing, 44:6, 2093-2114, DOI: 10.1080/01431161.2023.2195573
Lu, Y., & Wang, L. (2022). The current status, potential and challenges of remote sensing for large-scale mangrove studies. International Journal of Remote Sensing, 43(18), 6824-6855, DOI: 10.1080/01431161.2022.2145584
Lu, Y., & Wang, L. (2021). How to automate timely large-scale mangrove mapping with remote sensing. Remote Sensing of Environment, 264, 112584, DOI: 10.1016/j.rse.2021.112584
Wang, L., Yin, D., Tian, J., & Lu, Y. (2021). Google Earth Engine advancing urban land change science. Urban Remote Sensing: Monitoring, Synthesis, and Modeling in the Urban Environment, 175-188, DOI: 10.1002/9781119625865.ch9
Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S., & Erickson, T. A. (2020). A summary of the special issue on remote sensing of land change science with Google earth engine. Remote Sensing of Environment, 248, 112002, DOI: 10.1016/j.rse.2020.112002
Yang, S., Wang, L., Shi, C., & Lu, Y. (2018). Evaluating the relationship between the photochemical reflectance index and light use efficiency in a mangrove forest with Spartina alterniflora invasion. International Journal of Applied Earth Observation and Geoinformation, 73, 778-785, DOI: 10.1016/j.jag.2018.08.014