DocumentCode :
15262
Title :
A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture
Author :
Goodberlet, Mark A. ; Mead, James B.
Author_Institution :
ProSensing, Inc., Amherst, MA, USA
Volume :
52
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
5498
Lastpage :
5505
Abstract :
Spaceborne radiometers operating near 1.4 GHz are the primary instrument for recent efforts to remotely sense nearsurface soil moisture around the globe. Generally, these instruments must contend with the effects of vegetation growing in the soil. However, an important first step is to model the measurements made by a radiometer that is viewing bare (vegetation-free) soil. The proposed model uses a matching layer and a random depolarizer to describe bare soil surface roughness and some aspects of antenna beamwidth. The model suggests that the effects of nearsurface soil moisture and roughness upon the radiometer measurement are more distinct than is currently thought. Furthermore, it appears that both moisture and roughness can be retrieved from a single set of radiometer measurements made at orthogonal linear polarizations. This retrieval precision is predicted to be poor at soil observation angles near nadir but improves for larger angles. At observation angles near 50°, the vertically polarized radiometer measurements are predicted to be nearly insensitive to roughness. A convenient parameterization of the model is provided and permits quick implementation.
Keywords :
hydrological techniques; moisture; remote sensing; soil; vegetation; antenna beamwidth; bare soil moisture; near-surface soil moisture; orthogonal linear polarizations; passive remote sensing; spaceborne radiometers; surface roughness model; vegetation effects; vertically polarized radiometer measurements; Moisture; Radiometers; Rough surfaces; Sea measurements; Soil; Soil measurements; Surface roughness; Microwave radiometry; moisture measurement; polarization; soil measurements;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2289979
Filename :
6679257
Link To Document :
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