Ying Lu
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Education:
B.S., Remote Sensing Science and Technology, 2014, Wuhan University
M.S., Surveying and Mapping Engineering, 2016, Wuhan University
Research Interests:
Large-scale mangrove monitoring, Remote Sensing, Google Earth Engine, machine learning and species distribution modelling.
Recent Courses Taught:
GEO 102 Introduction to Human Geography
GEO 105 Earth, Environment, and Climate Laboratory (Lab Section)
GEO 381 Cartography (Lab Section)
GEO 483/553 Remote Sensing (Lab Section)
Publications:
Lu, Y., & Wang, L. (2021). How to automate timely large-scale mangrove mapping with remote sensing. Remote Sensing of Environment, 264, 112584.
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.
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.
ResearchGate: https://www.researchgate.net/profile/Ying-Lu-45
Awards:
Student Honors Paper Competition Award, the Remote Sensing Specialty Group, 2020 Annual Meeting of the Association of American Geographers.