Title :
Scattering from cultural grass canopies: measured and modeled data
Author :
Stiles, James M. ; Sarabandi, Kamal ; Ulaby, Fawwaz
Author_Institution :
Radar Syst. & Remote Sensing Lab., Kansas Univ., Lawrence, KS, USA
Abstract :
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 this test target, and polarimetric, multi-frequency backscattering data was 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 resulted in interesting backscattering data, with σvv0 actually increasing with incidence angle for many cases. The coherent scattering model provides backscattering data which match and predict these measured data, and most of the other measured data quite 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 non-uniform illumination of the wheat elements, likewise demonstrates the peculiar data observed for C-band
Keywords :
agriculture; backscatter; electromagnetic wave scattering; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; C-band; L-band; SHF; UHF; agriculture; azimuthal look direction; backscatter; cereal crops; coherent scattering model; cultural grass canopies; geophysical measurement technique; grass canopy; grassland; incoherent scattering power; land surface; microwave scattering; multifrequency backscattering; radar polarimetry; radar remote sensing; radar scattering theory; row direction; vegetation mapping; wheat; wheat field; Azimuth; Backscatter; Cultural differences; Electromagnetic scattering; L-band; Polarization; Predictive models; Radar scattering; Remote sensing; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516454