NDLI: A Layered Vegetation Model for GPR Full-Wave Inversion

Content Provider	IEEE Xplore Digital Library
Author	Reza Mahmoudzadeh Ardekani, M. Jacques, D.C. Lambot, S.
Copyright Year	2008
Abstract	The vegetation cover strongly affects microwave remote sensing backscattered signals and makes difficulties in retrieving the surface soil water content (SWC). In this paper, we developed a vegetation cover model for full-wave inversion of ground-penetrating radar (GPR) data assuming multiple layers with effective electrical properties. Measurements were performed in laboratory conditions over spelt wheat grown in a sandy soil. A stepped-frequency continuous-wave (SFCW) GPR system was set up using a vector network analyzer and a horn antenna operating in 1-4 GHz range in far-field conditions with different incidence angles and both VV and HH polarizations. In order to control the sand surface water content, a water table was fixed at 20 cm depth and 6 time-domain reflectometry (TDR) probes were horizontally placed at 2 and 20 cm depth. Measurements were performed and recorded hourly for about 1 month and the canopy height was measured daily. The effective electromagnetic properties of the vegetation layer were modeled using a complex refractive index model (CRIM) combined with a single Debye relaxation model. A scattering loss parameter was included in the electromagnetic full-wave GPR model for the vegetation layer. The proposed method was also applied in a ~7 ha agricultural field with a vegetation canopy height of ~27 cm (spring wheat). The laboratory measurements resulted in a strong link between the vegetation scattering losses parameter and canopy height (generally, the biomass structure), which cannot be retrieved directly from the GPR measurements. Applying this vegetation model to the GPR full-wave inversion led to a significant correction on GPR-derived SWC values from the field measurements.
Starting Page	18
Ending Page	28
Page Count	11
File Size	1418514
File Format	PDF
ISSN	19391404
Volume Number	9
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Ground penetrating radar Scattering Soil Dielectrics Permittivity Land surface vegetation model Electromagnetic reflection full-wave inversion ground penetrating radar scattering losses soil moisture vegetation dielectric properties
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

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