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Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests.

, , , , , and . IEEE Geosci. Remote Sensing Lett., 16 (4): 504-508 (2019)

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Monitoring Vegetation Moisture Using Passive Microwave and Optical Indices in the Dry Chaco Forest, Argentina., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (2): 421-430 (2014)Spatial and Temporal Properties of SMOS Retrieval Over Tropical Forests., , , , , and . IGARSS, page 2153-2156. IEEE, (2018)River Water Level Prediction Using Passive Microwave Signatures - A Case Study: The Bermejo Basin., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (9): 3903-3914 (2014)Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests., , , , , and . IEEE Geosci. Remote Sensing Lett., 16 (4): 504-508 (2019)Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)SMOS forest optical depth intercomparisons over pan-tropical biomes., , , , , and . IGARSS, page 5311-5314. IEEE, (2016)Influence of Vegetation Height, Plant Area Index, and Forest Intactness on SMOS L-VOD, for Different Seasons and Latitude Ranges., , and . IEEE Trans. Geosci. Remote. Sens., (2023)L-Band Passive and Active Signatures of Vegetated Soil: Simulations With a Unified Model., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (6): 2520-2531 (2016)Airborne forest monitoring during SMAPEx-3 campaign., , , , , , , , and . IGARSS, page 987-990. IEEE, (2013)Effective Scattering Albedo of Forests Retrieved by SMOS and a Three-Parameter Algorithm., , , and . IEEE Geosci. Remote. Sens. Lett., 14 (12): 2260-2264 (2017)