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Yingyi Zhao
Yingyi Zhao
Verified email at connect.hku.hk
Title
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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
222021
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
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
32023
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
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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