Title :
Sensitivity analysis of snow parameters inversion procedure to the passive microwave mixed-pixel patterns
Author :
Zhao, Tianjie ; Zhang, Yongpan ; Jiang, Lingmei ; Zhang, Lixin
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
The snow coverage and physical parameters play a special role in the global water and energy budget study. The passive microwave brightness temperatures of snowpack depend not only on the snow depth or snow water equivalent, but also the snow fraction and possible vegetation canopy. In this paper, we established a mixed model for simulating the dry snow radiation, based on the advancements of recent years. Through simulation analysis, it is found that the underestimation of snow fraction will cause the snow depth or snow water equivalent to be overestimated. And the error increases with the increase of snow depth.
Keywords :
geophysical signal processing; hydrological techniques; inverse problems; microwave measurement; remote sensing; snow; dry snow radiation; global energy budget; global water budget; inversion procedure sensitivity analysis; passive microwave mixed pixel patterns; snow coverage; snow depth; snow fraction; snow parameter inversion procedure; snow physical parameters; snow water equivalent; snowpack passive microwave brightness temperatures; vegetation canopy; Analytical models; Brightness temperature; Mathematical model; Microwave radiometry; Scattering; Snow; Soil; AMSR-E; Snow; mixed pixel; passive microwave;
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.2010.5650453