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Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark.

, , and . IEEE Trans. Geoscience and Remote Sensing, 51 (5-2): 2969-2985 (2013)

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Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass., , , , , , , , , and 2 other author(s). IGARSS, page 9038-9041. IEEE, (2018)SMOS Neural Network Soil Moisture Data Assimilation., , , , , , , and . IGARSS, page 5548-5551. IEEE, (2018)How does the Spatial Scale Mismatch Between in Situ and Smos Soil Moisture Evolve Through Timescales?, , , , , , and . IGARSS, page 1443-1446. IEEE, (2018)Directional effect on thermal infrared measurements over 2D heterogeneous land surface in remote sensing., , , and . IGARSS, page 42-44. IEEE, (2002)Working towards a global-scale vegetation water product from SMOS optical depth., , , , and . IGARSS, page 286-289. IEEE, (2014)Global retrieval of soil moisture using neural networks trained with synthetic radiometric data., , , , , and . IGARSS, page 1581-1584. IEEE, (2017)SMOS after six years in operations: First glance at climatic trends and anomalies., , , , , , , , , and 2 other author(s). IGARSS, page 1645-1646. IEEE, (2016)Refinement of SMOS Multiangular Brightness Temperature Toward Soil Moisture Retrieval and Its Analysis Over Reference Targets., , , , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (2): 589-603 (2015)Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network., , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 50 (5-1): 1572-1586 (2012)Improving the Spatial Bias Correction Algorithm in SMOS Image Reconstruction Processor: Validation of Soil Moisture Retrievals With In Situ Data., , , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (1): 277-290 (2019)