A Time-Series Approach to Estimating Soil Moisture From Vegetated Surfaces Using L-Band Radar Backscatter

Author:

Ouellette Jeffrey D.ORCID,Johnson Joel T.,Balenzano Anna,Mattia Francesco,Satalino Giuseppe,Kim Seung-BumORCID,Dunbar R. Scott,Colliander AndreasORCID,Cosh Michael H.,Caldwell Todd G.,Walker Jeffrey P.,Berg Aaron A.ORCID

Funder

Jet Propulsion Laboratory, California Institute of Technology

National Aeronautics and Space Administration

Australian Research Council Discovery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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1. Regressive Retrieval of Soil Moisture in Corn Fields using a Full-Wave Microwave Scattering Model;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Advances in Soil Moisture Retrieval From the Sentinel Products;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Classifying types of gully changes with unoccupied aircraft vehicles 3D multitemporal point clouds for training of satellite data analysis in Northwest Namibia;Earth Surface Processes and Landforms;2024-01-11

4. NISAR Time-Series Ratio Algorithm for Soil Moisture Retrieval: Prelaunch Evaluation With SMAPVEX12 Field Campaign Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Soil permittivity estimation over vegetative fields using dual polarimetric SAR data;Remote Sensing Applications: Society and Environment;2024-01

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