Authors: Zachary Mostowsky*, NT Concepts, Micah Brachman*, University of Maryland, Ian Jonesi, BlackSky
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems
Session Type: Poster
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download
Delivering timely and accurate geospatial intelligence (GEOINT) requires collecting data from a wide variety of sources ranging from satellite imagery to ground reports. This geospatial data is often collected, processed, and shared using different data models, leading to many persistent challenges within the GEOINT Community such as ensuring systems interoperability, performing data fusion, and delivering a common operating picture (COP) to end users. The geo-atom is a geospatial data model that defines an association between a location in space–time and a property. This simple model incorporates both discrete object (i.e. vector) and continuous field (i.e. raster) data, and can be extended to represent nearly any feature or phenomenon on the Earth’s surface. In this paper, an emergency evacuation scenario is used to demonstrate how adoption of the geo-atom data model could help address challenges related to collecting, processing, and disseminating GEOINT.