Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4935-2018
https://doi.org/10.5194/hess-22-4935-2018
Research article
 | 
25 Sep 2018
Research article |  | 25 Sep 2018

Development of soil moisture profiles through coupled microwave–thermal infrared observations in the southeastern United States

Vikalp Mishra, James F. Cruise, Christopher R. Hain, John R. Mecikalski, and Martha C. Anderson

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Cited articles

Aghakouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., and Hain, C. R.: Remote sensing of drought: Progress, challenges and opportunities, Rev. Geophys., 53, 452–480, https://doi.org/10.1002/2014RG000456, 2015. a
Alfieri, J. G., Anderson, M. C., Kustas, W. P., and Cammalleri, C.: Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates, Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, 2017. a
Al-Hamdan, O. Z. and Cruise, J. F.: Soil Moisture Profile Development from Surface Observations by Principle of Maximum Entropy, J. Hydrol. Eng., 15, 327–337, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000196, 2010. a, b, c, d, e, f, g, h, i
Anderson, M. C., Norman, J. M., Diak, G. R., and Kustas, W. P.: A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing, Remote Sens. Environ., 60, 195–216, https://doi.org/10.1016/S0034-4257(96)00215-5, 1997. a, b
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology, J. Geophys. Res.-Atmos., 112, D10117, https://doi.org/10.1029/2006JD007507, 2007. a, b
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Short summary
Multiple satellite observations can be used for surface and subsurface soil moisture estimations. In this study, satellite observations along with a mathematical model were used to distribute and develop multiyear soil moisture profiles over the southeastern US. Such remotely sensed profiles become particularly useful at large spatiotemporal scales, can be a significant tool in data-scarce regions of the world, can complement various land and crop models, and can act as drought indicators etc.