Agencies and departments have a huge problem in their isolated data structures including their geospatial data silos. Each group wanted its own repository with different access points, schema categorization and classification levels, and historically these have been very air-gapped between public and private sources.
The National System for Geospatial Intelligence has renewed its focus and mandates to harness the entire GEOINT community through an interactive sharing model of data. But how do we ensure all of that data is cleaned and ready for consumption?
From image capture to the insights that can be discerned, geospatial analysts must analyze hundreds of overlapping data points from a vast variety of data sources. The need to ascertain all applicable information on a given point or area in an accelerated time frame is crucial to mission effectiveness and achievement. The amount of imagery and mapping data source types are quickly increasing, and the amount of information we are collecting is growing faster—hastening the need to consolidate, catalog and curate this data from a variety of data sources such as Maxar, GeoJSON, OpenStreetMap, Shapefile, etc.
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