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Predicting L-band Microwave Attenuation through Forest Canopy using Directional Structuring Elements and Airborne Lidar.

, , , , , and . IGARSS (3), page 688-691. IEEE, (2008)

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Uncertainty in Soil Moisture Retrievals Using the SMAP Combined Active-Passive Algorithm for Growing Sweet Corn., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (7): 3326-3339 (2016)Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX., , , and . IGARSS, page 4901-4903. IEEE, (2017)Automated L-Band Radar System for Sensing Soil Moisture at High Temporal Resolution., , , , , , , , and . IEEE Geosci. Remote. Sens. Lett., 11 (2): 504-508 (2014)A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions., , , , , , , , , and 6 other author(s). IGARSS, page 2495-2498. IEEE, (2017)Utilizing complementarity of active/passive microwave observations at L-band for soil moisture studies in sandy soils., , , , and . IGARSS, page 743-746. IEEE, (2013)Assimilation of Active and Passive Microwave Observations for Improved Estimates of Soil Moisture and Crop Growth., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (4): 1357-1369 (2016)Predicting L-band Microwave Attenuation through Forest Canopy using Directional Structuring Elements and Airborne Lidar., , , , , and . IGARSS (3), page 688-691. IEEE, (2008)Impact of Moisture Distribution Within the Sensing Depth on L- and C-Band Emission in Sandy Soils., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (2-3): 887-899 (2013)Sensitivity of GNSS-R Spaceborne Observations to Soil Moisture and Vegetation., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (10): 4730-4742 (2016)Radar Remote Sensing of Agricultural Canopies: A Review., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (5): 2249-2273 (2017)