| 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 | 86 | 2021 |
| 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 | 76 | 2020 |
| A rigorously-weighted spatiotemporal fusion model with uncertainty analysis J Wang, B Huang Remote Sensing 9 (10), 990, 2017 | 47 | 2017 |
| 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 | 34 | 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 | 27 | 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 | 27 | 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 | 26 | 2022 |
| Sentinel-2A image fusion using a machine learning approach J Wang, B Huang, HK Zhang, P Ma IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9589-9601, 2019 | 24 | 2019 |
| 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 | 18 | 2023 |
| A new object-class based gap-filling method for PlanetScope satellite image time series J Wang, CKF Lee, X Zhu, R Cao, Y Gu, S Wu, J Wu Remote Sensing of Environment 280, 113136, 2022 | 14 | 2022 |
| Does plant ecosystem thermoregulation occur? An extratropical assessment at different spatial and temporal scales Z Guo, CJ Still, CKF Lee, Y Ryu, B Blonder, J Wang, TC Bonebrake, ... New Phytologist 238 (3), 1004-1018, 2023 | 13 | 2023 |
| A spatiotemporal satellite image fusion model with autoregressive error correction (AREC) J Wang, B Huang International Journal of Remote Sensing 39 (20), 6731-6756, 2018 | 11 | 2018 |
| 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 | 7 | 2023 |
| A fast mosaic method for airborne images: the new Template-Convolution Speed-Up Robust Features (TSURF) algorithm J Wang, J Fang, X Liu, D Zhao, Q Xiao International Journal of Remote Sensing 35 (16), 5959-5970, 2014 | 6 | 2014 |
| 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 | 5 | 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 | 2 | 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 |
