Ying Lu

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.