Biomass retrieval based on polarimetric target decomposition

Author

Zhang, Zhiyu ; Wang, Yong ; Sun, Guoqing ; Ni, Wenjian ; Huang, Wenli ; Zhang, Lixin

Author_Institution

Sch. of Geogr. & Remote Sensing, Beijing Normal Univ., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

1942

Lastpage

1945

Abstract

Former NASA´s Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynl) satellite mission was to provide regional or global biomass carbon stock at regional, national, and global scales. Carbon Monitoring System UAVSAR and LVIS data acquired in August 2009 were used in this paper. In this paper we used Cloude´s target decomposition theorem to decompose traditional polarimetric SAR data, and then to estimate biomass. By certification of LVIS derived biomass, the results show that only decomposed scattering elements are not enough for biomass retrieval, but they could improve the accuracy of biomass retrieval. The standard error for only pol method is 66.3Mg/ha, but for both polametric and decomposed data is only 64. lMg/ha.

Keywords

geophysical signal processing; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; AD 2009 08; Cloude target decomposition theorem; Deformation Ecosystem Structure and Dynamics of Ice satellite mission; LVIS data; LVIS derived biomass; NASA DESDynI satellite mission; UAVSAR data; biomass retrieval accuracy improvement; carbon monitoring system; global biomass carbon stock; polarimetric SAR data decomposition; polarimetric target decomposition; regional biomass carbon stock; Accuracy; Backscatter; Biomass; Educational institutions; Orbits; Scattering; Biomass Retrieval; LVIS; Target Decompositon; UAVSAR;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049506

Filename

6049506