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Yingyi Zhao
Yingyi Zhao
Verified email at connect.hku.hk
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Cited by
Year
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
S Wu, J Wang, Z Yan, G Song, Y Chen, Q Ma, M Deng, Y Wu, Y Zhao, ...
ISPRS Journal of Photogrammetry and Remote Sensing 171, 36-48, 2021
732021
Evaluating Carbon Sequestration and PM2.5 Removal of Urban Street Trees Using Mobile Laser Scanning Data
Y Zhao, Q Hu, H Li, S Wang, M Ai
Remote Sensing 10 (11), 1759, 2018
442018
Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types
Z Yan, Z Guo, SP Serbin, G Song, Y Zhao, Y Chen, S Wu, J Wang, ...
New Phytologist 232 (1), 134-147, 2021
212021
Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
Y Zhao, CKF Lee, Z Wang, J Wang, Y Gu, J Xie, YK Law, G Song, ...
Remote Sensing of Environment 283, 113310, 2022
152022
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
J Wang, G Song, M Liddell, P Morellato, CKF Lee, D Yang, B Alberton, ...
Remote Sensing of Environment 286, 113429, 2023
112023
Dynamic biotic controls of leaf thermoregulation across the diel timescale
Z Guo, Z Yan, BM Majcher, CKF Lee, Y Zhao, G Song, B Wang, X Wang, ...
Agricultural and Forest Meteorology 315, 108827, 2022
92022
Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning
CKF Lee, G Song, HC Muller-Landau, S Wu, SJ Wright, KC Cushman, ...
ISPRS Journal of Photogrammetry and Remote Sensing 201, 92-103, 2023
52023
A point cloud classification approach based on vertical structures of ground objects
Y Zhao, Q Hu, W Hu
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
32018
The underappreciated importance of solar radiation in constraining spring phenology of temperate ecosystems in the Northern and Eastern United States
Y Gu, Y Zhao, Z Guo, L Meng, K Zhang, J Wang, CKF Lee, J Xie, Y Wang, ...
Remote Sensing of Environment 294, 113617, 2023
22023
Spectra-phenology integration for high-resolution, accurate, and scalable mapping of foliar functional traits using time-series Sentinel-2 data
S Liu, Z Wang, Z Lin, Y Zhao, Z Yan, K Zhang, M Visser, PA Townsend, ...
Remote Sensing of Environment 305, 114082, 2024
2024
Exploring the role of biotic factors in regulating the spatial variability in land surface phenology across four temperate forest sites
Y Zhao, Z Wang, Z Yan, M Moon, D Yang, L Meng, SF Bucher, J Wang, ...
New Phytologist, 2024
2024
Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model
G Song, J Wang, Y Zhao, D Yang, CKF Lee, Z Guo, M Detto, B Alberton, ...
Remote Sensing of Environment 304, 114027, 2024
2024
Global photosynthetic capacity jointly determined by enzyme kinetics and eco-evo-environmental drivers
Z Yan, M Detto, Z Guo, NG Smith, H Wang, LP Albert, X Xu, Z Lin, S Liu, ...
Fundamental Research, 2024
2024
Tropical leaf phenology characterization by using an ecologically-constrained deep learning model with PlanetScope satellites
G Song, J Wang, M Liddell, P Morellato, KFC Lee, D Yang, B Alberton, ...
EGU 2023, 2023
2023
Evaluating the capacity of PlanetScope satellites for fine-scale phenology monitoring across temperate forests in eastern North America
Y Zhao, KFC Lee, Z Wang, J Wang, Y Gu, J Xie, YK Law, G Song, ...
EGU 2023, 2023
2023
Novel integration of high resolution satellites with drone flights improves monitoring of tree-crown scale autumn leaf phenology
W Shengbiao, J Wang, Z Yan, G Song, Y Chen, Q Ma, M Deng, Y Wu, ...
AGU Fall Meeting Abstracts 2020, B051-0014, 2020
2020
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