ICON & GOLD Teaming Up To Explore Earth’s Interface to Space

For years, Federal agencies have struggled to drive efficiencies while addressing the growing volume and increasing size of geospatial data. Legacy stove-pipe connectivity and desktop thick-clients have prevented traditional production environments from achieving the potential of a modern cloud-based architecture. Coupled with responsive web-based components, the cloud offers a seamless framework to automate tasks such as data ingestion, pre-processing and product generation. AIS is proud to be helping our users migrate into these next-generation production environments.

Our Federal team is currently involved with multiple projects that foster the adoption of cloud-based tasking, ingestion, processing and visualization using open-source web technologies. We foster an approach to migrating data processing algorithms from research groups across the Intelligence Community into production environments such as AWS Commercial Cloud Services (C2S).

For instance, the open-sourced NGA Scale framework allows users to customize heavy data processing schedules and tasks, while leveraging and managing a large number of cluster nodes used to process each job.

Right…. So what does that mean, exactly? Read More…

Jonathan Meyer

@gisjedi

With the explosion of new sensors and service offerings producing geospatial telemetry, there’s an ever-increasing need for tools to gain business insights from this data. One of the premier tools for this in the geospatial domain is GeoServer.

Fully open-source and free to use, GeoServer provides Open Geospatial Consortium (OGC) web service interfaces to rendering images or complete metadata in most common geospatial interchange formats. In a consulting capacity, Applied Information Sciences has leveraged Geoserver with great success, allowing us to deploy a complete software stack in minutes instead days or weeks. In this post I’ll give an overview of the DevOps practices we’ve applied to enable this capability, as well as a brief overview of the supporting technologies. Read More…

Kip Streithorst

@itsnull

AIS developed a prototype web application that leverages open standards for real-time data sharing and geospatial processing. It’s highly suggested you read our first two blog posts on this application, part one and part two.

In this post, we are going to discuss three areas of improvement for the application. We wanted to improve collaboration, improve management of events by adding a search capability, and improve the edit capabilities. Read More…

Kyle Linden

AIS developed a prototype that highlights the features and capabilities of open standards for geospatial processing and real-time data sharing through web applications. If you haven’t already, please click here to read part one.

After getting the VIIRS data into our application using GeoServer, our next objective was to enhance the prototype to demonstrate some of the exciting things AIS is able to do through the use of various web technologies. Our goal was to provide a highly collaborative environment where clients on a variety of devices could all interact in real time with map data.

BlogPosts tagged with “geospatial data”

AIS developed a prototype web application that leverages open standards for real-time data sharing and geospatial processing. It’s highly suggested you read our first two blog posts on this application, part one and part two.