Susan Skirvin

Learn More
—Surface roughness is a crucial input for radar backscatter models. Roughness measurements of root mean-squared height (h rms) of the same surface can vary depending on the measuring instrument and how the data are processed. This letter addresses the error in h rms associated with instrument bias and instrument deployment issues such as number and length(More)
[1] Four approaches for deriving estimates of near-surface soil moisture from radar imagery in a semiarid, sparsely vegetated rangeland were evaluated against in situ measurements of soil moisture. The approaches were based on empirical, physical, semiempirical, and image difference techniques. The empirical approach involved simple linear regression of(More)
Remote sensing techniques for monitoring soil moisture were tested by comparing hyperspectral reflectance and spectral indexes; surface temperature (T s) and thermal indexes; and normalized radar backscatter to soil moisture. A laboratory study indicated that hyperspectral reflectance and T s were sensitive to surface soil moisture (r 2 range from 0.72 to(More)
The Integral Equation Method (IEM) model and a newly defined delta index were used to estimate near surface soil moisture from C-band radar satellite imagery in a semi-arid rangeland in southern Arizona, USA. Model results were validated against soil moisture measurements made in the field at the time of satellite overpass. The IEM model performed poorly in(More)
  • 1