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Methods To Achieve Accurate Projection of Regional and Global Raster Databases

As science moves toward regional and global analyses with models of climate and human-induced change, methods are needed to project raster data accurately. The approach for this research theme is to use the theoretical and empirical base of knowledge to (1) design a new projection method accounting for raster cell size and latitude effects on accuracy, (2) systematically analyze the error effects and develop error correction procedures, and (3) develop raster resampling algorithms that use the error analysis and correct for inaccuracies. The project will also leverage results from previous USGS and academic research on projecting raster data to establish the necessary knowledge base for the DSS and the error correction procedures.



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