| High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data W Li, Z Niu, R Shang, Y Qin, L Wang, H Chen International Journal of Applied Earth Observation and Geoinformation 92, 102163, 2020 | 176 | 2020 |
| 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 | 115 | 2019 |
| Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability R Liu, R Shang, Y Liu, X Lu Remote Sensing of Environment 189, 164-179, 2017 | 112 | 2017 |
| Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data S Qiu, Y Lin, R Shang, J Zhang, L Ma, Z Zhu Remote Sensing 11 (1), 51, 2019 | 74 | 2019 |
| Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach R Shang, Z Zhu Remote Sensing of Environment 235, 111439, 2019 | 68 | 2019 |
| 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 | 48 | 2017 |
| Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series J Zhang, R Shang, C Rittenhouse, C Witharana, Z Zhu Science of Remote Sensing 4, 100023, 2021 | 30 | 2021 |
| Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data R Shang, Z Zhu, J Zhang, S Qiu, Z Yang, T Li, X Yang Remote Sensing of Environment 278, 113073, 2022 | 24 | 2022 |
| 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 | 16 | 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 | 16 | 2022 |
| Can Landsat 7 preserve its science capability with a drifting orbit? S Qiu, Z Zhu, R Shang, CJ Crawford Science of Remote Sensing 4, 100026, 2021 | 14 | 2021 |
| 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 | 13 | 2023 |
| 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 | 13 | 2018 |
| High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data X Lin, R Shang, JM Chen, G Zhao, X Zhang, Y Huang, G Yu, N He, L Xu, ... Agricultural and Forest Meteorology 339, 109592, 2023 | 8 | 2023 |
| Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data L Zuo, R Liu, Y Liu, R Shang Chinese geographical science 29, 756-767, 2019 | 8 | 2019 |
| Satellite observed land surface greening in summer controlled by the precipitation frequency rather than its total over Tibetan Plateau Y Liu, C Wu, RS Jassal, X Wang, R Shang Earth's Future, e2022EF002760, 2022 | 5 | 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 2024 (21), 625-639, 2024 | 1 | 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 | 1 | 2023 |
| 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 |
| Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices D Qiu, Y Liang, R Shang, JM Chen Remote Sensing 15 (9), 2381, 2023 | 1 | 2023 |
Mingzhu XuFujian Normal UniversityVerified email at fjnu.edu.cn
