Ideal brightness temperature algorithm for estimating soil-profile water status: I. Algorithm development

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

doi:10.1117/12.298145

30 December 1997 Ideal brightness temperature algorithm for estimating soil-profile water status: I. Algorithm development

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

Author Affiliations +

Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298145
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

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 (T_B) 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 T_B 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 T_B 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.

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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, and M. Collins "Ideal brightness temperature algorithm for estimating soil-profile water status: I. Algorithm development", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298145

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KEYWORDS

Soil science

Microwave radiation

Algorithm development

Dielectrics

Particles

Remote sensing

Radiometry

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