Each of the datasets listed in this SBIR's description and their corresponding applications are all potential candidates for use by Spark-RS since they involve large multi-spectral and hyper-spectral raster-based observations. These include HyspIRI, JPSS-1, NPP, SDO, MRO, MERRA, MERRA2, LandSat among many, many others. Thus, any NASA datacenter that has a Hadoop-based cluster will benefit from the proposed innovation, Spark-RS.
Spark-RS can equally be applied to myriad other remote sensing and GIS applications across U.S. government agencies moving towards big data platforms like Hadoop and Spark. There are at least 28 different U.S. government agencies that utilize or produce geospatial data. Not all utilize raster datasets, but many do. In particular, the Department of Defense (Army, Air Force, Navy, USMC) and the Intelligence Community (NSA, CIA, NGA, DIA, etc.) all produce and consume large amounts of image-based data. With the increasing amount of non-ortho-rectified oblique imagery-based datasets from sensors from aerial photography (WAMI/FMV), Spark-RS could also play a critical role. In addition, domestic agencies like USGS, FBI, EPA, FEMA, etc. also have vast quantities of raster-based datasets. Lastly, industrial applications including GIS mapping companies, aerial photography companies & medial imaging companies all can benefit and, importantly, contribute back to the sustained success of Spark-RS.
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