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Proceedings Paper

Testing a coherent-wave radiative transfer model using field measurements and a soil hydrology model
Author(s): William L. Crosson; Vishwas V. Soman; Charles A. Laymon; Teferi D. Tsegaye; Ramarao Inguva; Christine Bowman
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Paper Abstract

Emerging techniques for estimating soil moisture profiles combine inverse radiative transfer models (RTMs), constrained using soil hydrology models, with microwave brightness temperature (TB) observations. The objective of this study is to simulate TB with a coherent wave forward RTM and test the model's accuracy in estimating TB and its sensitivity to measurement uncertainties. The field research was conducted in Huntsville, Alabama, USA during July 1996. A ground-based S- and L-band microwave radiometer (SLMR) was deployed to measure near-surface soil moisture while soil temperature and moisture measurements were made at five depths to 90 cm. Soil moisture profiles are estimated for bare and grass plots using the soil hydrology model (SHM) run at 20- minute time steps based on meteorological, soil and vegetation inputs. Sensitivity of the RTM to vertical resolution of input profiles and to uncertainties in input data and model parameters is assessed using five model simulation modes. These experiments permit evaluation of differences between measured and model profiles (simulations 1-2), enhanced vertical resolution (simulation 3), and the impact of remotely-sensed surface moisture content (simulations 4-5). The simulation modes are based on: (1) Measured moisture profiles. (2) Moisture profiles from SHM at the same vertical spacing as the measurements. (3) Same as (2) except with 1 cm soil layers. (4) SHM moisture profiles in which the upper 1 cm soil layer is adjusted using SLMR soil moisture estimates. (5) Same as (4) except the upper 5 cm soil moisture is adjusted by blending SLMR and SHM moisture values.

Paper Details

Date Published: 30 December 1997
PDF: 12 pages
Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); doi: 10.1117/12.298136
Show Author Affiliations
William L. Crosson, Institute for Global Change Research and Education (United States)
Vishwas V. Soman, Institute for Global Change Research and Education (United States)
Charles A. Laymon, Institute for Global Change Research and Education (United States)
Teferi D. Tsegaye, Alabama A&M Univ. (United States)
Ramarao Inguva, Science and Technology Consultants, Inc. and Univ. of Wyoming (United States)
Christine Bowman, Susquehanna Univ. (United States)


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

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