• GEOSPATIAL SERVICES FRAMEWORK
    BRING ANALYTICS AND DATA TOGETHER AT SCALE

Geospatial Services Framework (GSF) is deployed in the enterprise and 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.



On-Demand GEOANALYTICS at Scale

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See how to analyze vast amounts of data at scale.

Customizing GSF with Node.js

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Customizing the Geospatial Services Framework with Node.js

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Analytics Without Limits

ADVANCED ANALYTICS AT SCALE

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Data Agnostic

GSF is a flexible framework that can input and 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 UAV.

Harris Geospatial Solutions has a legacy of expertise in advanced raster analytics. GSF enables dynamic clustering of these advanced analytical capabilities which means it’s easy to for a GEOINT application to scale up or down to meet the demands of an organization.

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rapid application development

In recent years, geospatial has gone main stream as more industries have learned 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.




Tools to get started

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:

REQUEST HANDLER


Implements REST-based API which provides HTTP endpoints for initiating jobs, retrieving status and accessing resources.

PARAMETER MAPPER


Maps resources and translates input and output values to appropriate representations such as Amazon S3, GeoServer WCS and ENVI data sources.

ENGINES


Wrap whatever API the engine provides by implementing a JavaScript module that defines tasks and maps them to engine execution.

ROUTE MAPPER


Allows queues to be defined for specific tasks, jobs and workflows like a high performance route for GPU enabled processing.

WORKSPACE MANAGER


Creates and maintains all workspace files for each job which can be distributed across local, shared and cloud enabled workspaces.

JOB MANAGER


Each job references task(s) with required parameters and our job manager submits jobs for processing. Can even be updated to use your job manager.




Cloud Ready Deployment

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.

Fast Start Program

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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