Spatial and temporal interpolation of satellite-based aerosol optical depth measurements over North America using B-splines

Nicolas Pfister; Norman T. O'Neill; Martin Aube; Minh-Nghia Nguyen; Xavier Bechamp-Laganiere; Albert Besnier; Louis Corriveau; Geremie Gasse; Etienne Levert; Danick Plante

doi:10.1117/12.616750

29 August 2005 Spatial and temporal interpolation of satellite-based aerosol optical depth measurements over North America using B-splines

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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Proceedings Volume 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring; 58900C (2005) https://doi.org/10.1117/12.616750
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

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Nicolas Pfister, Norman T. O'Neill, Martin Aube, Minh-Nghia Nguyen, Xavier Bechamp-Laganiere, Albert Besnier, Louis Corriveau, Geremie Gasse, Etienne Levert, and Danick Plante "Spatial and temporal interpolation of satellite-based aerosol optical depth measurements over North America using B-splines", Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 58900C (29 August 2005); https://doi.org/10.1117/12.616750

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