Artículos con órdenes de acceso público - Guangqin SongMás información
No disponibles en ningún lugar: 2
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
Órdenes: Research Grants Council, Hong Kong
Unraveling the drivers and impacts of leaf phenological diversity in a subtropical forest: A fine‐scale analysis using PlanetScope CubeSats
J Wang, Y Li, MM Rahman, B Li, Z Yan, G Song, Y Zhao, J Wu, C Chu
New Phytologist, 2024
Órdenes: Research Grants Council, Hong Kong
Disponibles en algún lugar: 9
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
Órdenes: US National Science Foundation, Chinese Academy of Sciences, National …
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
Órdenes: US Department of Energy, US Department of Agriculture, National Natural …
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
Órdenes: US Department of Energy, National Natural Science Foundation of China …
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
Órdenes: US National Science Foundation, US Department of Energy, National Natural …
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
Órdenes: Fundação de Amparo à Pesquisa do Estado de São Paulo, US Department of …
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
Órdenes: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Mapping foliar photosynthetic capacity in sub-tropical and tropical forests with UAS-based imaging spectroscopy: Scaling from leaf to canopy
S Liu, Z Yan, Z Wang, S Serbin, M Visser, Y Zeng, Y Ryu, Y Su, Z Guo, ...
Remote Sensing of Environment 293, 113612, 2023
Órdenes: US Department of Energy, US National Aeronautics and Space Administration …
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
Órdenes: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data
Z Lin, KH Cheng, D Yang, F Xu, G Song, R Meng, J Wang, X Zhu, M Ng, ...
Remote Sensing of Environment 304, 114026, 2024
Órdenes: Research Grants Council, Hong Kong
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