Share Email Print

Proceedings Paper

Ideal brightness temperature algorithm for estimating soil-profile water status: I. Algorithm development
Author(s): William R. Belisle; Narayan B. Rajbhandari; Teferi D. Tsegaye; Ahmed Fahsi; Andrew Manu; Yanming Liu; G. Robertson; Tommy L. Coleman; T. Jackson; Peggy E. O'Neill; M. Collins
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

One of the present efforts in the field of microwave remote sensing is to estimate soil water status throughout the soil profile using radiometers. This study describes a simple, ideal algorithm relating microwave brightness temperature (TB) and soil water status in the upper (10 cm) and lower (greater than 10 cm) soil depths. The algorithm description considers a simple, homogeneous, and sandy soil system with negligible amounts of capillary-stored water, organic matter content, and surface roughness. The microwave TB was estimated from the dielectric constant, k, as a function of the amount of water remaining in the soil during drainage. The effect of downward fluxing, free water on the value of TB was greater and occurred over a shorter period than that of the slower draining water near field capacity. The predictability of the algorithm decreased as the moisture content decreased to that of approximately field capacity.

Paper Details

Date Published: 30 December 1997
PDF: 6 pages
Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); doi: 10.1117/12.298145
Show Author Affiliations
William R. Belisle, Alabama A&M Univ. (United States)
Narayan B. Rajbhandari, Alabama A&M Univ. (United States)
Teferi D. Tsegaye, Alabama A&M Univ. (United States)
Ahmed Fahsi, Alabama A&M Univ. (United States)
Andrew Manu, Alabama A&M Univ. (United States)
Yanming Liu, Alabama A&M Univ. (United States)
G. Robertson, Alabama A&M Univ. (United States)
Tommy L. Coleman, Alabama A&M Univ. (United States)
T. Jackson, USDA Agricultual Research Service (United States)
Peggy E. O'Neill, NASA Goddard Space Flight Ctr. (United States)
M. Collins, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 3222:
Earth Surface Remote Sensing
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?