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Remote Sens. 2017, 9(1), 17; doi:10.3390/rs9010017

Advancing NASA’s AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

1
Department of Plants, Soils and Climate, Utah State University, Logan, UT 84322, USA
2
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA
3
Department of Soil, Water and Environmental Science, The University of Arizona, Tucson, AZ 85721, USA
*
Author to whom correspondence should be addressed.
Academic Editors: José A.M. Demattê, Nicolas Baghdadi and Prasad S. Thenkabail
Received: 30 August 2016 / Revised: 16 November 2016 / Accepted: 21 December 2016 / Published: 28 December 2016
(This article belongs to the Special Issue Remote Sensing Applied to Soils: From Ground to Space)
View Full-Text   |   Download PDF [1917 KB, uploaded 28 December 2016]   |  

Abstract

P-band radar remote sensing applied during the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission has shown great potential for estimation of root zone soil moisture. When retrieving the soil moisture profile (SMP) from P-band radar observations, a mathematical function describing the vertical moisture distribution is required. Because only a limited number of observations are available, the number of free parameters of the mathematical model must not exceed the number of observed data. For this reason, an empirical quadratic function (second order polynomial) is currently applied in the AirMOSS inversion algorithm to retrieve the SMP. The three free parameters of the polynomial are retrieved for each AirMOSS pixel using three backscatter observations (i.e., one frequency at three polarizations of Horizontal-Horizontal, Vertical-Vertical and Horizontal-Vertical). In this paper, a more realistic, physically-based SMP model containing three free parameters is derived, based on a solution to Richards’ equation for unsaturated flow in soils. Evaluation of the new SMP model based on both numerical simulations and measured data revealed that it exhibits greater flexibility for fitting measured and simulated SMPs than the currently applied polynomial. It is also demonstrated that the new SMP model can be reduced to a second order polynomial at the expense of fitting accuracy. View Full-Text
Keywords: Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS); radar backscatter; P-band remote sensing; root zone; soil moisture profile; Richards’ equation Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS); radar backscatter; P-band remote sensing; root zone; soil moisture profile; Richards’ equation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sadeghi, M.; Tabatabaeenejad, A.; Tuller, M.; Moghaddam, M.; Jones, S.B. Advancing NASA’s AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation. Remote Sens. 2017, 9, 17.

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