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Soil moisture retrieval using SMOS brightness temperatures and a neural network trained on in situ measurements., , , , and . IGARSS, page 1574-1577. IEEE, (2017)Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data., , , , , , , , , and . Remote. Sens., 8 (11): 959 (2016)Combining L-Band Radar and Smos L-Band Vod for High Resolution Estimation of Biomass., , , , , , and . IGARSS, page 5508-5511. IEEE, (2019)Towards the Removal of Model Bias from ESA CCI SM by Using an L-Band Scaling Reference., , , , , , , and . IGARSS, page 6194-6197. IEEE, (2021)SMOS Neural Network Soil Moisture Data Assimilation., , , , , , , and . IGARSS, page 5548-5551. IEEE, (2018)L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records., , , , , , , and . Remote. Sens., 13 (13): 2480 (2021)SMOS-IC Vegetation Optical Depth Index in Monitoring Aboveground Carbon Changes in the Tropical Continents During 2010-2016., , , , , , , and . IGARSS, page 2825-2828. IEEE, (2018)Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass., , , , , , , , , and 2 other author(s). IGARSS, page 9038-9041. IEEE, (2018)Global retrieval of soil moisture using neural networks trained with synthetic radiometric data., , , , , and . IGARSS, page 1581-1584. IEEE, (2017)Connected and Unconnected Synthetic Aperture Imaging Radiometry: A Preliminary Design for SMOS-Next Array., , , , , , and . IGARSS, page 8081-8083. IEEE, (2021)