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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)

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SMOS-HR: A High Resolution L-Band Passive Radiometer for Earth Science and Applications., , , , , , , , , and 12 other author(s). IGARSS, page 8392-8395. IEEE, (2019)Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France., , , , , , , , and . Remote Sensing, 10 (4): 569 (2018)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)Is vegetation optical depth needed to estimate biomass from passive microwave radiometers? A statistical study using neural networks., , , , , , and . IGARSS, page 5496-5499. IEEE, (2019)Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an $L$-Band Scaling Reference., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)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)Soil moisture retrieval using SMOS brightness temperatures and a neural network trained on in situ measurements., , , , and . IGARSS, page 1574-1577. IEEE, (2017)Combining L-Band Radar and Smos L-Band Vod for High Resolution Estimation of Biomass., , , , , , and . IGARSS, page 5508-5511. IEEE, (2019)Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass., , , , , , , , , and 2 other author(s). IGARSS, page 9038-9041. IEEE, (2018)