Effective soil moisture sampling depth of L-band radiometry: A case study

The aim of this study is to analyze the influence of the soil moisture sampling depth in the parameterization of soil emission in microwave radiometry at L-band. The analysis is based on brightness temperature, soil moisture and temperature measurements acquired over a bare soil during the SMOSREX e...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing of environment 2010-05, Vol.114 (5), p.995-1001
Main Authors: Escorihuela, M.J., Chanzy, A., Wigneron, J.P., Kerr, Y.H.
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Applied geophysics
Biological and medical sciences
Calibration
Earth sciences
Earth, ocean, space
Ecology, environment
Ecosystems
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Internal geophysics
Life Sciences
Microwaves
Parametrization
Passive microwave
Radiometry
Remote sensing
Roughness
Sampling
Sampling depth
SMOS
Soil (material)
Soil moisture
Teledetection and vegetation maps
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this study is to analyze the influence of the soil moisture sampling depth in the parameterization of soil emission in microwave radiometry at L-band. The analysis is based on brightness temperature, soil moisture and temperature measurements acquired over a bare soil during the SMOSREX experiment. A more detailed profile of surface soil moisture was obtained with a soil heat and water flows mechanistic model. It was found that (1) the soil moisture sampling depth depends on soil moisture conditions, (2) the effective soil moisture sampling depth is shallower than provided by widely used field moisture sensors, and (3) the soil moisture sampling depth has an impact on the calibration of soil roughness model parameters. These conclusions are crucial for the calibration and validation of remote sensing data at L-band.
ISSN:0034-4257
1879-0704
DOI:10.1016/j.rse.2009.12.011