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 | 75 | 2021 |
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 | 23 | 2022 |
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 | 23 | 2021 |
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 | 17 | 2022 |
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 | 12 | 2023 |
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 | 9 | 2022 |
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 | 8 | 2023 |
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 | 6 | 2023 |
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 242 (5), 1965-1980, 2024 | | 2024 |
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 | | 2024 |
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 | | 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 |
Post-fire forest recovery in Protected Areas of the Amazon: Disentangling natural processes from human disturbances using multi-source remote sensing data and machine learning Q Wu, CKF Lee, JA Wang, Y Zhao, G Song, EE Maeda, Y Su, A Huete, ... EGU24, 2024 | | 2024 |
Exploring the role of functional traits in regulating the spatial and temporal variability in land surface phenology across temperate forests Y Zhao, Z Wang, Z Yan, M Moon, D Yang, L Meng, SF Bucher, J Wang, ... EGU24, 2024 | | 2024 |
Advancing tropical leaf phenology monitoring with an ecological-constrained deep learning model and the spatial resolution impact analysis using multi-source satellite remote … G Song, J Wang, Y Zhao, D Yang, Z Guo, CKF Lee, M Detto, P Morellato, ... AGU23, 2023 | | 2023 |
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 |
Fine-scale Earths monitoring using a novel integration of multi-scale remote sensing observations J Wang, S Wu, D Yang, S Chen, KFC Lee, G Song, X Zhu, Z Zhu, J Wu AGU 2021 (13/12/2021-17/12/2021, New Orleans), 2021 | | 2021 |
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 |
Improved binary cuckoo search algorithm for band selection in hyperspectral image S Guangqin, DU Zhengshun, HE Zhi Bulletin of Surveying and Mapping, 43, 2019 | | 2019 |