DocumentCode :
2222016
Title :
Tropical forest structure estimation using polarimetric SAR tomography at P-band
Author :
Huang, Yue ; Ferro-Famil, Laurent ; Neumann, Maxim
Author_Institution :
Intermap Technol. Corp., Calgary, AB, Canada
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7593
Lastpage :
7596
Abstract :
This paper addresses the characterization of tropical forest structure by estimating their heights, underlying ground topography, vertical structure function and ground-to-volume ratio. The hybrid tomographic estimator can accurately estimate the tree top heights and the underlying topography. In order to separate the ground and volume contributions, model-based two-component fitting techniques are proposed to reconstruct the vertical structure function of forests. The proposed techniques are applied to P-Band Multi-baseline PolInSAR data acquired during the TropiSAR campaign over the test site of Paracou in French Guiana.
Keywords :
remote sensing by radar; vegetation; French Guiana; P-band; P-band multibaseline PolInSAR data; Paracou test site; TropiSAR campaign; forest vertical structure function; ground-to-volume ratio; hybrid tomographic estimator; model-based two-component fitting techniques; polarimetric SAR tomography; tree top heights; tropical forest structure estimation; underlying ground topography; vertical structure function; Estimation; Laser radar; Solid modeling; Surfaces; Synthetic aperture radar; Tomography; 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.2012.6351870
Filename :
6351870
Link To Document :
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