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Jingli Yan
Veterinary Medicine
Shanghai Jiao Tong University
Shanghai
Language: Chinese, English
Urban
Ecosystems
Environmental
Remote Sensing
Landscape
Ecology
Sustainability
Monitoring
Effects
Technology
Areas of Focus
- Urban Ecosystems and Environmental Remote Sensing
Work Experience
- 2016-2018 - Postdoctoral Researcher at University of California, Riverside and KU Leuven
- 2021-Present - Assistant Researcher at Shanghai Jiao Tong University
Academic Background & Achievements
- 2016 - PhD in Ecology from Chinese Academy of Sciences
- Postdoctoral research at University of California, Riverside (2016) and KU Leuven, Belgium (2018)
- Joined Shanghai Jiao Tong University in 2021
Publications
- Characterizing Garden Greenspace in a Medieval European City: Added Values of Spatial Resolution and Multi-Temporal Stereo Imagery, Jingli Yan, Stijn Van der Linden, Yunyu Tian, Jo Van valckenborgh, Ben Somers*, 2022
- Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis, Yilin Zhao, Jingli Yan*, Jiali Jin, Zhenkai Sun, Cheng Wang*, 2022
- Characterizing variations of greenspace landscapes in relation to neighborhood characteristics in urban residential area of Beijing, China, Jingli Yan, Weiqi Zhou, Zhong Zheng, Jia Wang, Yunyu Tian, 2020
- Testing an energy exchange and microclimate cooling hypothesis for the effect of vegetation configuration on urban heat, Jingli Yan, Weiqi Zhou*, Darrel Jenerette, 2019
- Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology, Jingli Yan, Weiqi Zhou*, Lijian Han, Yuguo Qian, 2018
- Characterizing particulate matters deposited on urban tree foliage: A landscape analysis approach, Lin Lin#, Jingli Yan#, Keming Ma*, Weiqi Zhou*, Guojian Chen, Rongli Tang, Yuxin Zhang, 2017
- Quantifying the characteristics of particulate matters captured by urban plants using an automatic approach, Jingli Yan, Lin Lin, Weiqi Zhou*, Keming Ma, 2016
- A novel approach for quantifying particulate matter distribution on leaf surface by combining SEM and object-based image analysis, Jingli Yan#, Lin Lin#, Weiqi Zhou*, Keming Ma, Steward Pickett, 2016
