Advancing NASA's AirMOSS p-band radar root zone soil moisture retrieval algorithm via incorporation of richards' equation

Morteza Sadeghi, Alireza Tabatabaeenejad, Markus Tuller, Mahta Moghaddam, Scott B. Jones

Research output: Research - peer-reviewArticle

  • 3 Citations

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.

LanguageEnglish (US)
Article number17
JournalRemote Sensing
Volume9
Issue number1
DOIs
StatePublished - 2017

Fingerprint

Richards equation
rhizosphere
observatory
soil moisture
radar
incorporation
microwave
parameter
unsaturated flow
backscatter
pixel
polarization
moisture
remote sensing
simulation
soil
inversion
evaluation
distribution

Keywords

  • Airborne microwave observatory of subcanopy and subsurface (AirMOSS)
  • P-band remote sensing
  • Radar backscatter
  • Richards' equation
  • Root zone
  • Soil moisture profile

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Advancing NASA's AirMOSS p-band radar root zone soil moisture retrieval algorithm via incorporation of richards' equation. / Sadeghi, Morteza; Tabatabaeenejad, Alireza; Tuller, Markus; Moghaddam, Mahta; Jones, Scott B.

In: Remote Sensing, Vol. 9, No. 1, 17, 2017.

Research output: Research - peer-reviewArticle

Sadeghi, Morteza ; Tabatabaeenejad, Alireza ; Tuller, Markus ; Moghaddam, Mahta ; Jones, Scott B./ Advancing NASA's AirMOSS p-band radar root zone soil moisture retrieval algorithm via incorporation of richards' equation. In: Remote Sensing. 2017 ; Vol. 9, No. 1.
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