DocumentCode
1301667
Title
Electromagnetic scattering from grassland. II. Measurement and modeling results
Author
Stiles, James M. ; Sarabandi, Kamal ; Ulaby, Fawwaz T.
Author_Institution
Radar Syst. & Remote Sensing Lab., Kansas Univ., Lawrence, KS, USA
Volume
38
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
349
Lastpage
356
Abstract
For pt.I see ibid., vol.38, no.1, p.339-48 (2000). The validity of a coherent, grassland scattering model is determined by comparing the model predictions with direct measurements of a representative grass canopy. A wheat field was selected as the test target, and polarimetric, multifrequency backscattering data were collected over an entire growing season, along with a complete set of ground-truth data. The L-band measured data demonstrated a strong dependence on azimuthal look direction in relation to the row direction of the wheat. The C-band measurements likewise showed an interesting backscattering response, wherein σνν0 actually increased with incidence angle for many cases. The coherent scattering model provides backscattering data that match and predict these measured data and most of the other measured data well. The model shows that at L-band, the incoherent scattering power alone is insufficient for predicting the measured results, as the coherent terms can dominate the total scattered energy. Additionally, the model, which accounts for this nonuniform illumination of the wheat elements, demonstrates the peculiar data observed for C-band. Likewise, it is demonstrated that the fidelity used to model grass constituents (e.g., curvature) is required to match the scattering measurements accurately
Keywords
agriculture; backscatter; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; vegetation mapping; C-band; L-band; SHF; UHF; agriculture; azimuthal look direction; backscatter; coherent scattering model; geophysical measurement technique; grass; grass canopy; grassland; model; multifrequency backscatter; radar polarimetry; radar remote sensing; radar scattering; row direction; vegetation mapping; wheat; Backscatter; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic scattering; Microwave measurements; Predictive models; Radar scattering; Scattering parameters; Testing; Vegetation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.823930
Filename
823930
Link To Document