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Empirical Upscaling of Point-Scale Soil Moisture Measurements for Spatial Evaluation of Model Simulations and Satellite Retrievals.

, , and . IGARSS, page 11496-11501. IEEE, (2024)

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Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland., , , and . Remote. Sens., 14 (6): 1495 (2022)An accuracy assessment of some procedures for calibrating satellite imagery to a common radiometric reference., , and . IGARSS, page 1346-1348. IEEE, (2002)Characterising groundwater use by vegetation using a surface energy balance model and satellite observations of land surface temperature., , , , and . Environ. Model. Softw., (2016)On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Comparison of Different High-Resolution Soil Moisture Products Across an Agricultural Landscape in South-Eastern Australia., , , , , and . IGARSS, page 3727-3730. IEEE, (2018)Towards validation of SMAP: SMAPEX-4 & -5., , , , , , , , , and . IGARSS, page 3469-3472. IEEE, (2016)Comparison of downscaling techniques for high resolution soil moisture mapping., , , , , , , , , and 12 other author(s). IGARSS, page 2523-2526. IEEE, (2017)A detection problem: Sensitivity and uncertainty analysis of a land surface temperature approach to detecting dynamics of water use by groundwater-dependent vegetation., , , , and . Environ. Model. Softw., (2016)Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters, , , , , , and . Remote Sensing of Environment, 112 (4): 1306--1319 (April 2008)Empirical Upscaling of Point-Scale Soil Moisture Measurements for Spatial Evaluation of Model Simulations and Satellite Retrievals., , and . IGARSS, page 11496-11501. IEEE, (2024)