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