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Explicit Inverse of Soil Moisture Retrieval with an Artificial Neural Network Using Passive Microwave Remote Sensing Data., , , and . IGARSS (2), page 687-690. IEEE, (2008)Assessing the SMOS Soil Moisture Retrieval Parameters With High-Resolution NAFE'06 Data., , , , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 635-639 (2009)An Assessment of QuikSCAT Ku-Band Scatterometer Data for Soil Moisture Sensitivity., , , , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 640-643 (2009)Airborne forest monitoring during SMAPEx-3 campaign., , , , , , , , and . IGARSS, page 987-990. IEEE, (2013)Disaggregation of SMOS Soil Moisture in Southeastern Australia., , , , , and . IEEE Trans. Geosci. Remote. Sens., 50 (5-1): 1556-1571 (2012)Optical Sensing of Vegetation Water Content: A Synthesis Study., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (4): 1456-1464 (2015)Leaf area index estimation using top-of-canopy airborne RGB images., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Leaf water content estimation using top-of-canopy airborne hyperspectral data., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Performance of SMOS Soil Moisture Products Over Core Validation Sites., , , , , , , , , and 12 other author(s). IEEE Geosci. Remote. Sens. Lett., (2023)Vegetation Canopy Height Retrieval Using L1 and L5 Airborne GNSS-R., , , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)