Ying Lu


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)


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