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Title: Analysis of in situ resources of for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016

item Cosh, Michael
item Jackson, Thomas
item COLLIANDER, A. - Jet Propulsion Laboratory
item BINDLISH, R. - Collaborator
item McKee, Lynn
item Goodrich, David - Dave
item Prueger, John
item HORNBUCKLE, B. - Iowa State University
item COOPERSMITH, E. - University Of New Hampshire
item Holifield Collins, Chandra
item Smith, John

Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: 9/29/2016
Publication Date: 12/12/2016
Citation: Cosh, M.H., Jackson, T.J., Colliander, A., Bindlish, R., Mckee, L.G., Goodrich, D.C., Prueger, J.H., Hornbuckle, B., Coopersmith, E., Holifield Collins, C.D., Smith, J.R. 2016. Analysis of in situ resources of for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016. American Geophysical Union. Abs. EP43E-03..

Interpretive Summary:

Technical Abstract: With the launch of the Soil Moisture Active Passive Mission (SMAP) in 2015, a new era of soil moisture monitoring was begun. Soil moisture is available on a near daily basis at a 36 km resolution for the globe. But this dataset is only as valuable if its products are accurate and reliableas its accuracy. Therefore, in order to demonstrate the accuracy of the soil moisture product, NASA enacted an extensive calibration and validation program with many in situ soil moisture networks contributing data across a variety of landscape regimes. However, not all questions canould be answered by these networks. As a result, two intensive field experiments were executed to provide more detailed reference points for calibration and validation. Multi-week field campaigns were conducted in Arizona and Iowa at the USDA Agricultural Research Service Walnut Gulch and South Fork Experimental Wwatersheds, respectively. An aAircraft observations were madecampaign was completed to provide a high resolution data product. Soil moisture, soil roughness and vegetation data were collected at high resolution to provide a downscaled dataset to compare againstto aircraft and satellite estimates.