DocumentCode :
144330
Title :
Generalized radar scattering model including terrain topography
Author :
Burgin, Mariko ; Khankhoje, Uday K. ; Xueyang Duan ; Moghaddam, Mahta
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5037
Lastpage :
5039
Abstract :
Terrain topography is of great importance for vegetated areas given that even small slopes impact and alter the radar wave interactions between the ground and the overlying vegetation. Current missions generally exclude pixels with large topographic slopes or disregard the terrain topography entirely, potentially accumulating substantial modeling errors and therefore impacting the retrieval performance over such sloped pixels. A flexible and modular radar scattering model has been developed: it describes multispecies vegetation over an N-layered soil with rough interfaces and considers a two-dimensional slope. Simulation results show the impact of a two-dimensional slope for a range of tilt angles: a 3 degree tilt in the plane of incidence translates to a change of up to 6 dB in HH, 2 dB in VV and 1 dB in HV for the total radar backscatter. The terrain topography is shown to be crucial for accurate forward modeling, especially over forested areas.
Keywords :
soil; terrain mapping; topography (Earth); vegetation; N-layered soil rough interface; accurate forward modeling; flexible radar scattering model; forested area; generalized radar scattering model; ground radar wave interaction; incidence plane tilt degree; large topographic slope pixel; modular radar scattering model; multispecies vegetation; overlying vegetation; retrieval performance impact; small slope impact; substantial modeling error accumulation; terrain topography; tilt angle range; total radar backscatter; two-dimensional slope impacy; vegetated area; Backscatter; Radar remote sensing; Scattering; Soil; Surfaces; Vegetation mapping; Electromagnetic modeling; radar remote sensing; surface topography; vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947628
Filename :
6947628
Link To Document :
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