Difference between revisions of "High Speed Image Sharing Throughout the Enterprise"

From Earth Science Information Partners (ESIP)
m (New page: Dynamically serving large amounts of imagery across the enterprise provides a rich assortment of new processing functionality for transforming imagery into geospatial information. Tradit...)
 
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Dynamically serving large amounts of imagery across the enterprise provides a rich assortment of new processing functionality for transforming imagery into geospatial information.  Traditional image servers have limited the role of imagery to static backgrounds for display purposes only.  ERDAS technologies take full advantage of Open Geospatial Consortium (OGC) standards for interoperability, and provide powerful, but easy to use, remote sensing and photogrammetric tools, expanding the use of imagery to a much wider assortment of applications.  Given the rich content and temporal fidelity of today’s satellites and aerial platforms, an image server with advanced processing capabilities is a vital component to ensure both the timeliness and accuracy of spatial data across the enterprise.
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Dynamically serving large amounts of imagery across the enterprise provides a rich assortment of new processing functionality for transforming imagery into geospatial information.  Traditional image servers have limited the role of imagery to static backgrounds for display purposes only.  ERDAS technologies take full advantage of Open Geospatial Consortium (OGC) standards for interoperability, and provide powerful, but easy to use, remote sensing and photogrammetric tools, expanding the use of imagery to a much wider assortment of applications.  Given the rich content and temporal fidelity of today’s satellites and aerial platforms, an image server with advanced processing capabilities is a vital component to ensure both the timeliness and accuracy of spatial data across the enterprise. <br>
 
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Today, no one should question the value of using spatial imagery in their GIS—it is the best solution for contextualizing spatial information for analysis and discovery. Many organizations, both private and public, are now realizing the value of high resolution spatial imagery as a cost saving tool. For example, road and asset conditions can now be interpreted from high resolution imagery. This saves the cost of deploying field resources to check the conditions of road surfaces.
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Today, no one should question the value of using spatial imagery in their GIS—it is the best solution for contextualizing spatial information for analysis and discovery. Many organizations, both private and public, are now realizing the value of high resolution spatial imagery as a cost saving tool. For example, road and asset conditions can now be interpreted from high resolution imagery. This saves the cost of deploying field resources to check the conditions of road surfaces.<br>
 
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With so many sources of aerial photography and satellite cameras currently available, many organizations are building up vast repositories of imagery. These repositories are assets usually developed without due considerations for the IT infrastructure and human resources required to support distributing spatial imagery to the end users. The broad dissemination of this information maximizes its use and reduces the per-head cost of the imagery assets.
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With so many sources of aerial photography and satellite cameras currently available, many organizations are building up vast repositories of imagery. These repositories are assets usually developed without due considerations for the IT infrastructure and human resources required to support distributing spatial imagery to the end users. The broad dissemination of this information maximizes its use and reduces the per-head cost of the imagery assets. <br>
 
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The size of imagery datasets is growing because of new technological developments (e.g. digital aerial cameras) that are increasing the resolution available, as well as the total size of imagery databases.  A single flight sortie can capture 1TB of data.  Organizations store older image data to keep historical information about land use and other characteristics. Aerial and satellite photographs capture the state of land at a given moment in time, making it a precious resource for planners, environmental scientists, historians, and others who can learn from the changing patterns. For example, maintaining an archive allows the comparison of 2006 and 2007 to distinguish any changes.
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The size of imagery datasets is growing because of new technological developments (e.g. digital aerial cameras) that are increasing the resolution available, as well as the total size of imagery databases.  A single flight sortie can capture 1TB of data.  Organizations store older image data to keep historical information about land use and other characteristics. Aerial and satellite photographs capture the state of land at a given moment in time, making it a precious resource for planners, environmental scientists, historians, and others who can learn from the changing patterns. For example, maintaining an archive allows the comparison of 2006 and 2007 to distinguish any changes. <br>
 
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ERDAS is focused on today’s image realities.  The use of imagery within your enterprise should be an enhancement, not a barrier.  With over 30 years experience providing software solutions for geospatial applications, ERDAS is making enriched processing just as vital as serving and delivering.
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ERDAS is focused on today’s image realities.  The use of imagery within your enterprise should be an enhancement, not a barrier.  With over 30 years experience providing software solutions for geospatial applications, ERDAS is making enriched processing just as vital as serving and delivering.<br>
 
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Presenter: Jon Polay, ERDAS, Inc.
 
Presenter: Jon Polay, ERDAS, Inc.

Revision as of 15:49, June 29, 2009

Dynamically serving large amounts of imagery across the enterprise provides a rich assortment of new processing functionality for transforming imagery into geospatial information. Traditional image servers have limited the role of imagery to static backgrounds for display purposes only. ERDAS technologies take full advantage of Open Geospatial Consortium (OGC) standards for interoperability, and provide powerful, but easy to use, remote sensing and photogrammetric tools, expanding the use of imagery to a much wider assortment of applications. Given the rich content and temporal fidelity of today’s satellites and aerial platforms, an image server with advanced processing capabilities is a vital component to ensure both the timeliness and accuracy of spatial data across the enterprise.

Today, no one should question the value of using spatial imagery in their GIS—it is the best solution for contextualizing spatial information for analysis and discovery. Many organizations, both private and public, are now realizing the value of high resolution spatial imagery as a cost saving tool. For example, road and asset conditions can now be interpreted from high resolution imagery. This saves the cost of deploying field resources to check the conditions of road surfaces.

With so many sources of aerial photography and satellite cameras currently available, many organizations are building up vast repositories of imagery. These repositories are assets usually developed without due considerations for the IT infrastructure and human resources required to support distributing spatial imagery to the end users. The broad dissemination of this information maximizes its use and reduces the per-head cost of the imagery assets.

The size of imagery datasets is growing because of new technological developments (e.g. digital aerial cameras) that are increasing the resolution available, as well as the total size of imagery databases. A single flight sortie can capture 1TB of data. Organizations store older image data to keep historical information about land use and other characteristics. Aerial and satellite photographs capture the state of land at a given moment in time, making it a precious resource for planners, environmental scientists, historians, and others who can learn from the changing patterns. For example, maintaining an archive allows the comparison of 2006 and 2007 to distinguish any changes.

ERDAS is focused on today’s image realities. The use of imagery within your enterprise should be an enhancement, not a barrier. With over 30 years experience providing software solutions for geospatial applications, ERDAS is making enriched processing just as vital as serving and delivering.


Presenter: Jon Polay, ERDAS, Inc.