DocumentCode :
2196834
Title :
Combing Polarization coherence tomography and PoLInSAR segmentation for forest above ground biomass estimation
Author :
Li, Wenmei ; Chen, Erxue ; Li, Zengyuan ; Luo, Huanmin ; Zhou, Wei ; Feng, Qi ; Wang, Xinshuang
Author_Institution :
Res. Inst. of Forest Resources Inf. Tech., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3351
Lastpage :
3354
Abstract :
The objective of this study is to estimate forest above ground biomass (AGB) of the whole areas covered with forest basing on Polarization coherence tomography (PCT) and polarimetric interferometric segmentation. Two scenes of DLR E-SAR L band quad-polarization images were acquired in Traunstein test site. Results show that there is no saturation using this method even when the biomass ups to 500tons/ha and parameters extracted from PCT is easier to implement in practice.
Keywords :
geophysical image processing; image segmentation; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; DLR E-SAR L band quadpolarization images; Germany; PoLInSAR segmentation; Traunstein; forest AGB estimation; forest above ground biomass estimation; polarimetric interferometric segmentation; polarization coherence tomography; Biomass; Estimation; Image segmentation; Mathematical model; Reflectivity; Synthetic aperture radar; Tomography; forest AGB; forest vertical structure; polarimetric interferometric segmentation; polarization coherence tomography; relative reflectivity;
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.2012.6350703
Filename :
6350703
Link To Document :
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