Abstract
Abstract Multisensor-multispectral scientific data applications require a tremendous investment regarding data preparation and analysis. A data fusion method is developed that is general enough for use with any scan-line-based datasets (satellite and ground based) and enables multisensor-multispectral datasets to be merged on a routine basis. In particular, advanced software processing techniques in the Polar Orbiter Remapping and Transformation Application Library (PORTAL) are used to show how polar (e.g., Special Sensor Microwave/Imager data from DMSP) and geostationary data (e.g., Visible-Infrared Spin Scan Radiometer data from GOES) can be spatially combined routinely in an efficient manner. The PORTAL system can also be used to combine data from sensors on the same satellite that have radically different earth scan patterns and ground resolutions. A self-describing, generalized data format is used to modularize the data processing flow and obtain significant improvements in terms of flexibility, exte...
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