Title :
Aerosol Optical Thickness retrieval over snow-covered surface using AATSR data
Author :
LinLu Mei ; Yong Xue ; Xingwei He
Author_Institution :
Inst. of Remote Sensing & Digital Earth, State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Aerosol Optical Thickness (AOT) retrieval over very bright surface is a great challenge because the surface contribution dominates the Top Of Atmosphere (TOA) signal. In this paper, we presented a method for AOT retrieval over snow-covered surface. For the first step, the surface is assumed to be a mixture between snow and ice. The main idea is that the ratio between nadir and forward observation was used for AOT retrieval. For different snow-covered surface type, the surface reflectance is estimated by a mixing model of snow and the other item (ice), tuned by the normalized Differential Snow Index (NDSI) of the satellite observation. Then the AOT can be obtained using Look-Up-Table (LUT) method. In the paper, we mainly focus on the Arctic region, which is a very nice study area for mixture between snow and ice. Validation between ground-based measurements and satellite-derived results shows good agreement. Thus the method provides a promising method for global-covered and whole season AOT retrieval. In the next step, three different regions will be used for validation of the method, for the Arctic region, Canada, Beijing, was chosen for pure snow-ice mixture, snow-vegetation mixture and snow-solid mixture surface.
Keywords :
aerosols; atmospheric optics; atmospheric techniques; ice; remote sensing; snow; vegetation mapping; AATSR data; Arctic region; Beijing; Canada; LUT method; NDSI; TOA signal; aerosol optical thickness retrieval; forward observation ratio; global-covered AOT retrieval method; ground-based measurement validation; look-up-table method; method validation; nadir ratio; normalized diferential snow index; pure snow-ice mixture; satellite observation; satellite-derived result validation; snow mixing model; snow-covered surface type; snow-solid mixture surface; snow-vegetation mixture; surface contribution; surface reflectance; top of atmosphere signal; very bright surface; whole season AOT retrieval method; Abstracts; Geophysical measurements; Ice; Optical reflection; Satellites; Snow; AATSR; Aerosol optical thickness; snow/ice;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721223