| Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks B He, C Chen, S Lin, W Yuan, HW Chen, D Chen, Y Zhang, L Guo, ... National Science Review 9 (4), nwab150, 2022 | 78 | 2022 |
| Evaluating the effectiveness of using vegetation indices based on red-edge reflectance from Sentinel-2 to estimate gross primary productivity S Lin, J Li, Q Liu, L Li, J Zhao, W Yu Remote Sensing 11 (11), 1303, 2019 | 73 | 2019 |
| Large influence of atmospheric vapor pressure deficit on ecosystem production efficiency H Lu, Z Qin, S Lin, X Chen, B Chen, B He, J Wei, W Yuan Nature Communications 13 (1), 1653, 2022 | 56 | 2022 |
| Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory J Zhao, J Li, Q Liu, B Xu, W Yu, S Lin, Z Hu International Journal of Applied Earth Observation and Geoinformation 90, 102112, 2020 | 33 | 2020 |
| Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type S Lin, J Li, Q Liu, B Gioli, E Paul-Limoges, N Buchmann, M Gharun, ... International Journal of Applied Earth Observation and Geoinformation 100 …, 2021 | 25 | 2021 |
| High spatial resolution vegetation gross primary production product: Algorithm and validation X Huang, Y Zheng, H Zhang, S Lin, S Liang, X Li, M Ma, W Yuan Science of Remote Sensing 5, 100049, 2022 | 24 | 2022 |
| Spatial–temporal prediction of vegetation index with deep recurrent neural networks W Yu, J Li, Q Liu, J Zhao, Y Dong, C Wang, S Lin, X Zhu, H Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 23 | 2021 |
| A novel red‐edge spectral index for retrieving the leaf chlorophyll content H Zhang, J Li, Q Liu, S Lin, A Huete, L Liu, H Croft, JGPW Clevers, Y Zeng, ... Methods in Ecology and Evolution 13 (12), 2771-2787, 2022 | 21 | 2022 |
| A simulation-based analysis of topographic effects on LAI inversion over sloped terrain W Yu, J Li, Q Liu, G Yin, Y Zeng, S Lin, J Zhao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 18 | 2020 |
| Comparison of vegetation phenology derived from solar-induced chlorophyll fluorescence and enhanced vegetation index, and their relationship with climatic limitations C Wang, Y Wu, Q Hu, J Hu, Y Chen, S Lin, Q Xie Remote Sensing 14 (13), 3018, 2022 | 17 | 2022 |
| Development of a phenology-based method for identifying sugarcane plantation areas in China using high-resolution satellite datasets Y Zheng, Z Li, B Pan, S Lin, J Dong, X Li, W Yuan Remote Sensing 14 (5), 1274, 2022 | 17 | 2022 |
| Effects of forest canopy vertical stratification on the estimation of gross primary production by remote sensing S Lin, J Li, Q Liu, A Huete, L Li Remote Sensing 10 (9), 1329, 2018 | 17 | 2018 |
| Gap Filling for Historical Landsat Ndvi Time Series by Integrating Climate Data W Yu, J Li, Q Liu, J Zhao, Y Dong, X Zhu, S Lin, H Zhang, Z Zhang Remote Sensing 13 (3), 484, 2021 | 15 | 2021 |
| Use of a BP neural network and meteorological data for generating spatiotemporally continuous LAI time series X Zhu, J Li, Q Liu, W Yu, S Li, J Zhao, Y Dong, Z Zhang, H Zhang, S Lin IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 12 | 2021 |
| Multi-site assessment of the potential of fine resolution red-edge vegetation indices for estimating gross primary production S Lin, D Hao, Y Zheng, H Zhang, C Wang, W Yuan International Journal of Applied Earth Observation and Geoinformation 113 …, 2022 | 11 | 2022 |
| Underestimated interannual variability of terrestrial vegetation production by terrestrial ecosystem models S Lin, Z Hu, Y Wang, X Chen, B He, Z Song, S Sun, C Wu, Y Zheng, X Xia, ... Global Biogeochemical Cycles 37 (4), e2023GB007696, 2023 | 9 | 2023 |
| An open data approach for estimating vegetation gross primary production at fine spatial resolution S Lin, X Huang, Y Zheng, X Zhang, W Yuan Remote Sensing 14 (11), 2651, 2022 | 8 | 2022 |
| Progress of studies on satellite-based terrestrial vegetation production models in China W Yuan, S Lin, X Wang Progress in Physical Geography: Earth and Environment 46 (6), 889-908, 2022 | 6 | 2022 |
| How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production X Huang, S Lin, X Li, M Ma, C Wu, W Yuan Remote Sensing 14 (23), 6062, 2022 | 4 | 2022 |
| Incorporating environmental variables into spatiotemporal fusion model to reconstruct high-quality vegetation index data X Li, Q Peng, Y Zheng, S Lin, B He, Y Qiu, J Chen, Y Chen, W Yuan IEEE Transactions on Geoscience and Remote Sensing, 2024 | 3 | 2024 |
