Title :
Biomass retrieval based on UAVSAR polarimetric data
Author :
Zhang, Zhiyu ; Sun, Guoqing ; Zhang, Lixin ; Guo, Zhifeng ; Huang, Wenli
Author_Institution :
Sch. of Geogr. & Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Parameters of vegetation spatial structure have important effect on the carbon cycle and biodiversity of the ecosystems. How to estimate above-ground biomass is still a problem need to be worked out. In this paper we tried to use UAVSAR datasets to discuss the relation between backscattering coefficient and local incidence angle in different forest types. By the relation, a method based on scattering mechanism for correcting radiometric distortion caused by large range of incidence angle is developed. Biomass retrieval is based on incidence angle correction. The result shows good correlation between biomass and backscattering coefficient in 1 ha scale.
Keywords :
backscatter; ecology; radar polarimetry; radiometry; synthetic aperture radar; vegetation; UAVSAR polarimetric data; above-ground biomass; backscattering coefficient; biodiversity; biomass retrieval; carbon cycle; ecosystems; incidence angle correction; local incidence angle; radiometric distortion; vegetation spatial structure; Backscatter; Biomass; Equations; Mathematical model; Remote sensing; Sun; Synthetic aperture radar; UAVSAR; biomass; incidence angle; regression;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5651641