Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049506
