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Data Fusion Empowers Geospatial Analysis

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October 18, 2013

Data Fusion Empowers Geospatial Analysis

Tremendous value and insights are achieved when all available data—raster, vector, numerical data and even subjective cultural aspects—are fused together into models that can identify spatial patterns. By Greg Hammann, Amanda Marchetti and Kumar Navulur, DigitalGlobe (www.digitalglobe.com), Longmont, Colo.  Proliferation of Earth observation sensors, including electro-optical, radar, light detection and ranging (LiDAR), sonar and other