Spatial aspects of multi-sensor data fusion: Aerosol optical thickness

The Goddard Earth Sciences Data and Information Services Center (GES DISC) investigated the applicability and limitations of combining multi-sensor data through data fusion, to increase the usefulness of the multitude of NASA remote sensing data sets, and as part of a larger effort to integrate this...

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Bibliographic Details
Main Authors: Leptoukh, G., Zubko, V., Gopalan, A.
Format: Conference Proceeding
Language:English
Subjects:
Aerosol optical thickness
Aerosols
Aqua
Data fusion
Data tools
Data visualization
Geoscience
Giovanni
Information analysis
Merging
MISR
MODIS
NASA
Optical sensors
Remote sensing
Terra
Thickness measurement
Value-added services
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Summary:The Goddard Earth Sciences Data and Information Services Center (GES DISC) investigated the applicability and limitations of combining multi-sensor data through data fusion, to increase the usefulness of the multitude of NASA remote sensing data sets, and as part of a larger effort to integrate this capability in the GES-DISC Interactive Online Visualization and Analysis Infrastructure (Giovanni). This initial study focused on merging daily mean Aerosol Optical Thickness (AOT), as measured by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra and Aqua satellites, to increase spatial coverage and produce complete fields to facilitate comparison with models and station data. The fusion algorithm used the maximum likelihood technique to merge the pixel values where available. The algorithm was applied to two regional AOT subsets (with mostly regular and irregular gaps, respectively) and a set of AOT fields that differed only in the size and location of artificially created gaps. The Cumulative Semivariogram (CSV) was found to be sensitive to the spatial distribution of gap areas and, thus, useful for assessing the sensitivity of the fused data to spatial gaps.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2007.4423505