Title :
Microwave scattering by plants generated by a stochastic Lindenmayer system
Author :
Tsang, Leung ; Chen, Zhengxiao ; Zhang, Guifu ; Au, Wai Chung
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
Recent studies indicate that at high frequencies, the branches and leaves in vegetation scatter independently. However, at low frequencies, they scatter collectively so that the structure of the trees and plants needs to be taken into account. Also, the near-field interaction among branches and leaves at low frequencies can give strong polarization signatures and cross polarization. Such collective scattering effects can contribute to a variety of frequency and polarimetric dependence. To take into account the tree and plant structures, the authors have used a stochastic Lindenmayer system to generate plant and tree structures with realistic appearances. They then solve Maxwell´s equations for vegetation grown in this manner
Keywords :
backscatter; electromagnetic wave scattering; forestry; geophysical techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; Maxwell´s equations; backscatter; cross polarization; forest forestry; geophysical measurement technique; microwave scattering; plants; polarization signature; radar polarimetry; radar remote sensing; radar scattering; rough surface; stochastic Lindenmayer system; vegetation mapping; Absorption; Computer integrated manufacturing; Electromagnetic scattering; Frequency; Maxwell equations; Microwave frequencies; Microwave generation; Particle scattering; Polarization; Scattering; Stochastic processes; Stochastic systems; Tree data structures; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521744