Title :
An improved mosaic method considering atmospheric diffusion in aerosol optical depth retrieval case
Author :
Jia Liu ; Yong Xue ; Hui Xu ; Yingjie Li ; Jie Guang ; Chi Li ; Leiku Yang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Aerosol optical depth (AOD) is a key parameter reflecting aerosol properties, and it is inevitable to mosaic multi-orbit data while making AOD datasets in some situations due to the limitation in scanning width of various instruments. This article summarizes some conventional methods eliminating seams of mosaic images, and introduces the idea of combining the Gaussian dispersion model into mosaic process in the AOD retrieval case. In this article, we elaborate the principle of the Gauss plume model and put forward the improved method. Based on the AOD products from the Synergetic Retrieval of Aerosol Properties (SRAP) model from the Moderate Resolution Imaging Spectroradiometer (MODIS) data, we conduct experiments on improved methods, and evaluate the processing effect.
Keywords :
Gaussian processes; aerosols; atmospheric movements; atmospheric techniques; data acquisition; AOD datasets; Gauss plume model; Gaussian dispersion model; MODIS data; Moderate Resolution Imaging Spectroradiometer; SRAP model; Synergetic Retrieval of Aerosol Properties; aerosol optical depth retrieval case; aerosol properties; atmospheric diffusion; improved mosaic method; mosaic images; mosaic process; multi-orbit data mosaic; processing effect; scanning width; Aerosols; Atmospheric modeling; Dispersion; MODIS; Meteorology; Optical imaging; Optical sensors; Aerosol Optical Depth (AOD); Gaussian dispersion model; mosaic; seams;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351033