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Proceedings Paper

Spatial and temporal interpolation of satellite-based aerosol optical depth measurements over North America using B-splines
Author(s): Nicolas Pfister; Norman T. O'Neill; Martin Aube; Minh-Nghia Nguyen; Xavier Bechamp-Laganiere; Albert Besnier; Louis Corriveau; Geremie Gasse; Etienne Levert; Danick Plante
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Paper Abstract

Satellite-based measurements of aerosol optical depth (AOD) over land are obtained from an inversion procedure applied to dense dark vegetation pixels of remotely sensed images. The limited number of pixels over which the inversion procedure can be applied leaves many areas with little or no AOD data. Moreover, satellite coverage by sensors such as MODIS yields only daily images of a given region with four sequential overpasses required to straddle mid-latitude North America. Ground based AOD data from AERONET sun photometers are available on a more continuous basis but only at approximately fifty locations throughout North America. The object of this work is to produce a complete and coherent mapping of AOD over North America with a spatial resolution of 0.1 degree and a frequency of three hours by interpolating MODIS satellite-based data together with available AERONET ground based measurements. Before being interpolated, the MODIS AOD data extracted from different passes are synchronized to the mapping time using analyzed wind fields from the Global Multiscale Model (Meteorological Service of Canada). This approach amounts to a trajectory type of simplified atmospheric dynamics correction method. The spatial interpolation is performed using a weighted least squares method applied to bicubic B-spline functions defined on a rectangular grid. The least squares method enables one to weight the data accordingly to the measurement errors while the B-splines properties of local support and C2 continuity offer a good approximation of AOD behaviour viewed as a function of time and space.

Paper Details

Date Published: 29 August 2005
PDF: 9 pages
Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 58900C (29 August 2005); doi: 10.1117/12.616750
Show Author Affiliations
Nicolas Pfister, College de Sherbrooke (Canada)
Norman T. O'Neill, Univ. de Sherbrooke (Canada)
Martin Aube, College de Sherbrooke (Canada)
Minh-Nghia Nguyen, Univ. de Sherbrooke (Canada)
Xavier Bechamp-Laganiere, College de Sherbrooke (Canada)
Albert Besnier, College de Sherbrooke (Canada)
Louis Corriveau, College de Sherbrooke (Canada)
Geremie Gasse, College de Sherbrooke (Canada)
Etienne Levert, College de Sherbrooke (Canada)
Danick Plante, College de Sherbrooke (Canada)

Published in SPIE Proceedings Vol. 5890:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring
Hung-Lung Allen Huang; Hal J. Bloom; Xiaofeng Xu; Gerald J. Dittberner, Editor(s)

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