| Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach M Xu, R Liu, JM Chen, Y Liu, R Shang, W Ju, C Wu, W Huang Remote Sensing of Environment 224, 60-73, 2019 | 135 | 2019 |
| China’s current forest age structure will lead to weakened carbon sinks in the near future R Shang, JM Chen, M Xu, X Lin, P Li, G Yu, N He, L Xu, P Gong, L Liu, ... The Innovation 4 (6), 2023 | 67 | 2023 |
| The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology R Shang, R Liu, M Xu, Y Liu, L Zuo, Q Ge Remote Sensing of Environment 199, 167-170, 2017 | 54 | 2017 |
| Retrieving global leaf chlorophyll content from MERIS data using a neural network method M Xu, R Liu, JM Chen, R Shang, Y Liu, L Qi, H Croft, W Ju, Y Zhang, Y He, ... ISPRS Journal of Photogrammetry and Remote Sensing 192, 66-82, 2022 | 30 | 2022 |
| A 21-year time series of global leaf chlorophyll content maps from MODIS imagery M Xu, R Liu, JM Chen, Y Liu, A Wolanin, H Croft, L He, R Shang, W Ju, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 29 | 2022 |
| Determining the start of the growing season from MODIS data in the Indian Monsoon Region: Identifying available data in the rainy season and modeling the varied vegetation … R Shang, R Liu, M Xu, Y Liu, J Dash, Q Ge Remote Sensing 10 (1), 122, 2018 | 17 | 2018 |
| An algorithm differentiating sunlit and shaded leaves for improving canopy conductance and vapotranspiration estimates J Li, W Ju, W He, H Wang, Y Zhou, M Xu Journal of Geophysical Research: Biogeosciences 124 (4), 807-824, 2019 | 13 | 2019 |
| Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J Leng, JM Chen, W Li, X Luo, M Xu, J Liu, R Wang, C Rogers, B Li, Y Yan Earth System Science Data 16 (3), 1283-1300, 2024 | 8 | 2024 |
| Next step in vegetation remote sensing: synergetic retrievals of canopy structural and leaf biochemical parameters JM Chen, M Xu, R Wang, D Li, R Liu, W Ju, T Cheng New Thinking in GIScience, 207-220, 2022 | 6 | 2022 |
| Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples P Li, R Shang, JM Chen, M Xu, X Lin, G Yu, N He, L Xu Biogeosciences 21 (2), 625-639, 2024 | 5 | 2024 |
| Comparative assessment of leaf photosynthetic capacity datasets for estimating terrestrial gross primary productivity M Xu, JM Chen, Y Liu, R Wang, R Shang, J Leng, L Shu, J Liu, R Liu, ... Science of The Total Environment 926, 171400, 2024 | 2 | 2024 |
| Declining global sensitivity of stomatal conductance to photosynthesis J Leng, JM Chen, W Li, X Luo, M Xu, C Rogers, Y Yan | 2 | 2024 |
| Improved estimation of the underestimated GEDI footprint LAI in dense forests L Liang, R Shang, JM Chen, M Xu, H Zeng Geo-spatial Information Science, 1-16, 2023 | 2 | 2023 |
| Improved global estimation of seasonal variations in C3 photosynthetic capacity based on eco-evolutionary optimality hypotheses and remote sensing Y Liu, JM Chen, M Xu, R Wang, W Fan, W Li, L Kammer, C Prentice, ... Remote Sensing of Environment 313, 114338, 2024 | 1 | 2024 |
| LACC2. 0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters M Xu, R Shang, JM Chen, L Zeng Remote Sensing 15 (13), 3277, 2023 | 1 | 2023 |
| China's annual forest age dataset at 30 m spatial resolution from 1986 to 2022 R Shang, X Lin, JM Chen, Y Liang, K Fang, M Xu, Y Yan, W Ju, G Yu, ... Earth System Science Data Discussions 2025, 1-31, 2025 | | 2025 |
| Light use efficiency model based on chlorophyll content better captures seasonal gross primary production dynamics of deciduous broadleaf forests R Yang, R Liu, Y Liu, J Chen, M Xu, J He Chinese Geographical Science, 1-18, 2024 | | 2024 |
| Synergetic inversion of leaf area index and leaf chlorophyll content based on a multiple vegetation indices model R Wang, JM Chen, Z Cheng, M Xu, G Miao, H Zeng AGU24, 2024 | | 2024 |
| Plant traits dominate global spatiotemporal variations in photosynthetic efficiency Y Yan, B Li, B Dechant, M Xu, X Luo, S Qu, G Miao, J Leng, R Shang, ... | | 2024 |
| A Down-Scaling Inversion Strategy for Retrieving Canopy Water Content from Satellite Hyperspectral Imagery M Fang, X Hu, JM Chen, X Zhao, X Tang, H Liu, M Xu, W Ju Forests 15 (8), 1463, 2024 | | 2024 |
Jing M ChenDepartment of Geography, University of Torontogeog.utoronto.ca üzerinde doğrulanmış e-posta adresine sahip