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Shengbiao Wu
Shengbiao Wu
Research Assistant Professor, The University of Hong Kong
Verified email at hku.hk - Homepage
Title
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Cited by
Year
Characterizing land surface anisotropic reflectance over rugged terrain: A review of concepts and recent developments
J Wen, Q Liu, Q Xiao, Q Liu, D You, D Hao, S Wu, X Lin
Remote Sensing 10 (3), 370, 2018
1252018
Contrasting inequality in human exposure to greenspace between cities of Global North and Global South
B Chen, S Wu, Y Song, C Webster, B Xu, P Gong
Nature Communications 13 (1), 4636, 2022
1032022
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
722021
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest
J Wang, D Yang, M Detto, BW Nelson, M Chen, K Guan, S Wu, Z Yan, ...
Remote Sensing of Environment 246, 111865, 2020
692020
PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction
G Yin, A Li, S Wu, W Fan, Y Zeng, K Yan, B Xu, J Li, Q Liu
Remote sensing of environment 215, 184-198, 2018
672018
Modeling canopy reflectance over sloping terrain based on path length correction
G Yin, A Li, W Zhao, H Jin, J Bian, S Wu
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4597-4609, 2017
612017
Modeling anisotropic reflectance over composite sloping terrain
D Hao, J Wen, Q Xiao, S Wu, X Lin, D You, Y Tang
IEEE Transactions on Geoscience and Remote Sensing 56 (7), 3903-3923, 2018
562018
A comprehensive framework for seasonal controls of leaf abscission and productivity in evergreen broadleaved tropical and subtropical forests
X Yang, J Wu, X Chen, P Ciais, F Maignan, W Yuan, S Piao, S Yang, ...
The Innovation 2 (4), 2021
372021
Simulation and analysis of the topographic effects on snow-free albedo over rugged terrain
D Hao, J Wen, Q Xiao, S Wu, X Lin, B Dou, D You, Y Tang
Remote Sensing 10 (2), 278, 2018
362018
The definition of remotely sensed reflectance quantities suitable for rugged terrain
S Wu, J Wen, JP Gastellu-Etchegorry, Q Liu, D You, Q Xiao, DL Hao, X Lin, ...
Remote sensing of Environment 225, 403-415, 2019
322019
Modeling discrete forest anisotropic reflectance over a sloped surface with an extended GOMS and SAIL model
S Wu, J Wen, X Lin, D Hao, D You, Q Xiao, Q Liu, T Yin
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 944-957, 2018
322018
Characterization of remote sensing albedo over sloped surfaces based on DART simulations and in situ observations
S Wu, J Wen, D You, D Hao, X Lin, Q Xiao, Q Liu, JP Gastellu‐Etchegorry
Journal of Geophysical Research: Atmospheres 123 (16), 8599-8622, 2018
312018
Beyond green environments: Multi-scale difference in human exposure to greenspace in China
B Chen, Y Tu, S Wu, Y Song, Y Jin, C Webster, B Xu, P Gong
Environment International 166, 107348, 2022
302022
Estimating near-infrared reflectance of vegetation from hyperspectral data
Y Zeng, D Hao, G Badgley, A Damm, U Rascher, Y Ryu, J Johnson, ...
Remote Sensing of Environment 267, 112723, 2021
272021
Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images
J Wang, D Yang, S Chen, X Zhu, S Wu, M Bogonovich, Z Guo, Z Zhu, ...
Remote Sensing of Environment 264, 112604, 2021
262021
Spatiotemporal variability of land surface albedo over the Tibet Plateau from 2001 to 2019
X Lin, J Wen, Q Liu, D You, S Wu, D Hao, Q Xiao, Z Zhang, Z Zhang
Remote Sensing 12 (7), 1188, 2020
232020
Spectral invariant provides a practical modeling approach for future biophysical variable estimations
Y Zeng, B Xu, G Yin, S Wu, G Hu, K Yan, B Yang, W Song, J Li
Remote Sensing 10 (10), 1508, 2018
222018
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
Advances in upscaling methods of quantitative remote sensing
D Hao, Q Xiao, J Wen, D You, X Wu, X Lin, S Wu
Yaogan Xuebao/Journal of Remote Sensing, 2018
212018
Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies
G Song, S Wu, CKF Lee, SP Serbin, BT Wolfe, MK Ng, KS Ely, ...
ISPRS Journal of Photogrammetry and Remote Sensing 183, 19-33, 2022
202022
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