Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006 |
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Authors: | Iliana Mladenova Venkat Lakshmi Jeffrey P. Walker Olivier Merlin Richard A.M. de Jeu |
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Affiliation: | a Department of Geological Sciences, University of South Carolina, Columbia, SC, USAb Hydrology and Remote Sensing Lab, USDA, Beltsville, MD, USAc Department of Civil and Environmental Engineering, University of Melbourne, Melbourne, Victoria, Australiad Centre d'Etudes Spatieles de la BIOsphere, Toulouse, Francee Department of Hydrology and GeoEnvironmetal Sciences, Vrije Universiteit, Amsterdam, The Netherlandsf USDA-ARS, Hydrology and Remote Sensing Lab BARC-West, B007, 10300 Baltimore Ave. Beltsville, MD 20705, USAg Monash University, Department of Civil Engineering, Melbourne, Victoria, Australia |
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Abstract: | AMSR-E has been extensively evaluated under a wide range of ground and climate conditions using in situ and aircraft data, where the latter were primarily used for assessing the TB calibration accuracy. However, none of the previous work evaluates AMSR-E performance under the conditions of flood irrigation or other forms of standing water. Also, it should be mentioned that global soil moisture retrievals from AMSR-E typically utilize X-band data. Here, C-band based AMSR-E soil moisture estimates are evaluated using 1 km resolution retrievals derived from L-band aircraft data collected during the National Airborne Field Experiment (NAFE'06) field campaign in November 2006. NAFE'06 was conducted in the Murrumbidgee catchment area in southeastern Australia, which offers diverse ground conditions, including extensive areas with dryland, irrigation, and rice fields. The data allowed us to examine the impact of irrigation and standing water on the accuracy of satellite-derived soil moisture estimates from AMSR-E using passive microwave remote sensing. It was expected that in fields with standing water, the satellite estimates would have a lower accuracy as compared to soil moisture values over the rest of the domain. Results showed sensitivity of the AMSR-E to changes in soil moisture caused by both precipitation and irrigation, as well as good spatial (average R = 0.92 and RMSD = 0.049 m3/m3) and temporal (R = 0.94 and RMSD = 0.04 m3/m3) agreement between the satellite and aircraft soil moisture retrievals; however, under the NAFE'06 ground conditions, the satellite retrievals consistently overestimated the soil moisture conditions compared to the aircraft. |
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Keywords: | Algorithm validation AMSR-E Irrigation L-band radiometry NAFE Rice paddies Standing water |
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