Author: Amanda O'Connor , L3Harris Fire is a naturally occurring phenomenon and is a vital... more »
Authors: Daniel C. Heinz, Thomas Bahr and Greg Terrie (Harris Geospatial Solutions) Many methods... more »
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Geospatial analytics allow people to ask questions of data that exist within a spatial context. Usually this means extracting information from remotely sensed data such as multispectral imagery or LiDAR that is focused on observing the Earth and the things happening on it, both in a static sense or over a period of time. Familiar examples of... What are Geospatial Analytics? Geospatial analytics allow people to ask questions of data that exist within a spatial context. Usually this means extracting information from remotely sensed data such as multispectral imagery or LiDAR that is focused on observing the Earth and the things happening on it, both in a static sense or over a period... Read More >
CLOUD-BASED DATA ANALYSIS IS THE FUTURE Over the past decade the proliferation of Geographic Information Systems (GIS) in both military and commercial applications has been increasingly driven by developments in web technology. The ability to search, discover, and consume geospatial data and information over a network has made web mapping... Read More >
ENVI in the Cloud Background For the past 30 years Exelis – Visual Information Solutions (VIS) has been delivering premier scientific data analysis tools and solutions to researchers, analysts, and businesses through the IDL and ENVI platforms. ENVI and IDL are maintained and developed to meet the needs of the broad community of users for both analytics... Read More >
INTRODUCTION Exelis Visual Information Solutions has recently released a new version of its popular ArcGIS®-enabled ENVI software. The ENVI image processing software has long been best in class for image analysis and visualization. With an ENVI desktop license, ENVI image analysis tools are readily available in the ArcGIS environment and... Read More >
Abstract The adoption of cloud computing by the geospatial industry has identified issues that have both inhibited and driven enterpriselevel deployment of image analytics capabilities. Data and analytics requirements, shrinking budgets, and the need for simplified, interoperable workflows all drive the development and integration of... Read More >