DocumentCode
2227838
Title
FDTD based vegetation simulation - Application to multiple wavelengths and vegetation species
Author
Dhar, A. Tishampati ; Gray, B. Doug ; Menges, C. Carl
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
fYear
2012
fDate
22-27 July 2012
Firstpage
6565
Lastpage
6568
Abstract
This paper presents a novel technique for full-wave numerical modelling of radar backscatter from vegetation canopies using the Finite Difference Time Domain (FDTD) approach. Multitude of simulation techniques exist for estimating the backscatter from vegetation canopies including analytical techniques and numerical approaches such as FEM and MOM(via commercial products such as HFSS and FEKO). The approach presented here uses the MEEP[1] simulator in parallel mode to efficiently calculate the fields over a time interval using a set of stochastically generated vegetation structures of different species and ground surface with 2 different orders of roughness. The vegetation is modelled using a modification of Ulaby´s water cloud model since water is the dominant material in the vegetation-microwave interaction. This approach shows promise in both numerical field strength estimation and intuitive understanding of microwave propagation in complex vegetation like medium.
Keywords
backscatter; finite difference time-domain analysis; vegetation; vegetation mapping; FDTD based vegetation simulation; FEKO; FEM; HFSS; MEEP simulator; Ulaby water cloud model; analytical techniques; finite difference time domain approach; full-wave numerical model; ground surface; microwave propagation; numerical field strength estimation; numerical techniques; radar backscatter; simulation techniques; vegetation canopies; vegetation species; vegetation structures; vegetation-microwave interaction; Abstracts; Australia; Finite difference methods; Magnetic sensors; Scattering; Time domain analysis; FDTD; radar; simulation; vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352095
Filename
6352095
Link To Document