Geospatial Services Framework

Geospatial Services Framework (GSF) is deployed in the enterprise and makes powerful analytics, and the information they provide, available across an organisation. 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 organisation has already invested in.

Geospatial Services Framework

Geospatial Services Framework (GSF) is deployed in the enterprise and makes powerful analytics, and the information they provide, available across an organisation. 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 organisation has already invested in.

Data Agnostic

GSF is a flexible framework that can input and analyse virtually any remotely sensed data. Organisations that have already made investments in commercially available data from Harris, Digital Globe, Airbus, etc. Including lidar, multispectral/hyperspectral imagery, or SAR can easily use those existing data within GSF. Additionally, organisations can upload their own data gathered from other sources such as drones or UAV.

Analytics at Scale

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 organisation 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 organisational need and can provide as much, or as little, detail that is needed by end users.

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 organisations 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.

Data Agnostic

GSF is a flexible framework that can input and analyse virtually any remotely sensed data. Organisations that have already made investments in commercially available data from Harris, Digital Globe, Airbus, etc. Including lidar, multispectral/hyperspectral imagery, or SAR can easily use those existing data within GSF. Additionally, organisations can upload their own data gathered from other sources such as drones or UAV.

Analytics at Scale

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 organisation 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 organisational need and can provide as much, or as little, detail that is needed by end users.

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 organisations 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.