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Temporal and Spatial Variations in the Leaf Area Index and Its Response to Topography in the Three-River Source Region, China from 2000 to 2017.

, , , , , and . ISPRS Int. J. Geo Inf., 10 (1): 33 (2021)

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Validation of MODIS global LAI products in forested terrain., , , , , and . IGARSS, page 3053-3056. IEEE, (2014)An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products., , and . Remote. Sens., 13 (4): 719 (2021)Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements., , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (5): 2632-2645 (2017)Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance., , , , , , , , , and . ISPRS Int. J. Geo Inf., 7 (7): 242 (2018)Temporal and Spatial Variations in the Leaf Area Index and Its Response to Topography in the Three-River Source Region, China from 2000 to 2017., , , , , and . ISPRS Int. J. Geo Inf., 10 (1): 33 (2021)Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data., , , , , and . Remote. Sens., 11 (21): 2517 (2019)Estimation of Vegetation Leaf-Area-Index Dynamics from Multiple Satellite Products through Deep-Learning Method., , , , , , and . Remote. Sens., 14 (19): 4733 (2022)Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Bi-LSTM Model for Time Series Leaf Area Index Estimation Using Multiple Satellite Products., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)