Bring Analytics and Data Together at Scale
Geospatial Services Framework (GSF) is a flexible framework that can analyze virtually any remotely sensed data. Because it is deployed in the enterprise, it makes powerful analytics, and the information they provide, available across an organization. Better access to information results in better and more confident decision making. GSF is elastic and easily scales up or down to meet demands and is cloud and data agnostic. This means GSF easily installs within existing infrastructure and takes advantage of the data assets an organization has already invested in.
Data Agnostic:
GSF is a flexible framework that can analyze virtually any remotely sensed data. Organizations that have already made investments in commercially available data from Harris, DigitalGlobe, Airbus, etc. including LiDAR, multispectral/hyperspectral imagery, or SAR, can
easily use those existing data within GSF. Additionally, organizations can upload their own data gathered from other sources such as drones or UAVs.
Powerful Analytics: GSF uses the full power of cloud and enterprise architecture and can quickly run automated analytics on existing data stores or new and incoming data. Available analytics include Harris’ advanced machine learning capabilities, algorithms an organization is already using, and any of the powerful analytics available within ENVI software such as feature extraction, classification, object identification, and more.
Readily Available Results:
Results from analytical routines performed within GSF are easily pushed to web clients. Web clients can be tailored according to organizational need and can provide as much, or as little, detail that is needed by end users.
In recent years, geospatial has gone mainstream as more industries have discovered that advanced image analytics can be used to solve business problems. Existing commercial satellite constellations combined with the advent of small sats and miniaturized sensors for drones have made data easily accessible. Advances in GPU and cloud technology have put massive compute power into the hands of individuals and organizations large and small. GSF brings together data, geospatial analytics, and compute power to enable the rapid development of applications to solve problems at scale across industries.
Out of the box, GSF provides the fundamental tools needed to get up and running. Because GSF is modular and built on open source Node.js, it’s easy to replace components or extend functionality through open source communities like npm and GitHub. Upon installation, GSF includes the following tools:
Organizations that have existing cloud capabilities can take advantage of provided GSF code that enables quick deployment into existing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud environments. Customers building their own cloud capabilities can also take advantage of the same code to easily include GSF functionality in their cloud.
The Fast Start program is a 3-day service in which a Harris Geospatial engineer will work onsite to perform an installation. Installation includes an evaluation of the current state of an organization’s project, a basic installation and configuration to get GSF up and running, deployment of solutions into the desired infrastructure, and guidance on analysis workflows and best practices.
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