DocumentCode
1488255
Title
Improved Models of Soil Emission for Use in Remote Sensing of Soil Moisture
Author
Goodberlet, Mark A. ; Mead, James B.
Author_Institution
ProSensing Inc., Amherst, MA, USA
Volume
50
Issue
10
fYear
2012
Firstpage
3991
Lastpage
3999
Abstract
Microwave radiometer measurements of the Planck emission from soil can be used to estimate the near-surface soil moisture. A more straightforward and consistent model of this emission results if nonuniform, rather than uniform, plane waves are used. Adaptation of this new model to a layered medium representation for the soil is improved using a normalization that is based on the isothermal soil limit. The separate concepts of radiometer sensing depth and in situ sampling depth for soil moisture are examined and theory for the sensing depth is presented. Improved approximations (at 1413 MHz) to the full model for soil emission are developed since they are needed to construct algorithms that retrieve an estimate of soil moisture from the radiometer raw measurement. The error associated with the comparison of these remotely sense values against in situ measurements is calculated. Results suggest that this comparison error could be lowered if the soil moisture sampling depth was reduced to values less than 0.01 m from the currently used values near 0.02 m, although the effect of surface roughness has not yet been analyzed.
Keywords
moisture; radiometry; remote sensing; soil; Planck emission; frequency 1413 MHz; isothermal soil limit; layered medium representation; microwave radiometer measurement; plane wave; radiometer sensing depth; remote sensing; sampling depth; soil emission model; soil moisture; Approximation methods; Isothermal processes; Microwave radiometry; Sensors; Soil measurements; Soil moisture; Electromagnetic propagation in absorbing media; microwave radiometry; passive microwave remote sensing; soil moisture;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2189574
Filename
6179521
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