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An Assessment of QuikSCAT Ku-Band Scatterometer Data for Soil Moisture Sensitivity.

, , , , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 640-643 (2009)

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A Global Simulation of Microwave Emission: Error Structures Based on Output From ECMWF's Operational Integrated Forecast System., , , and . IEEE Trans. Geoscience and Remote Sensing, 46 (3): 846-856 (2008)Introduction to the Issue on Heterogeneous Data Access and Use for Geospatial User Communities - Part II., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 3 (3): 351 (2010)Introduction to the Issue on Heterogeneous Data Access and Use for Geospatial User Communities., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2 (4): 231-232 (2009)Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors., , , , , , , and . IGARSS, page 8259-8262. IEEE, (2018)Merging two passive microwave remote sensing (SMOS and AMSR_E) datasets to produce a long term record of Soil Moisture., , , , , , , , , and 2 other author(s). IGARSS, page 2269-2272. IEEE, (2014)Triple collocation - A new tool to determine the error structure of global soil moisture products., , and . IGARSS, page 4426-4429. IEEE, (2010)A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations., , , , and . Environmental Modelling and Software, (2012)Towards validation of SMAP: SMAPEX-4 & -5., , , , , , , , , and . IGARSS, page 3469-3472. IEEE, (2016)Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data., , , , , , , , , and . Remote Sensing, 8 (11): 959 (2016)A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index., , and . IEEE Trans. Geoscience and Remote Sensing, 39 (8): 1643-1654 (2001)