Technology within the ENVI Ecosystem can be applied in a number of ways to solve problems. Here are a few examples.
- PROCESSING ON INTERNAL NETWORK
- CLOUD PROCESSING AT SCALE
- END-TO-END WORKFLOWS ON ANY NETWORK
Example: Processing on an internal network
Geospatial experts use ENVI Desktop to create a visibility heatmap that highlights lines of sight in an urban location. They need to share the heatmap with analysts to compare with other data, so they can provide a decision-maker with observable points along a route.
The geospatial expert uploads their heatmap to the ENVI Connect catalog, where it can be viewed and added to a broader product stack, such as foundational raster data and other derived products, by data specialists with different skillsets.
The derived information is then pushed to an information dashboard to facilitate decision making, such as what the best location is to place cameras along that route for line of sight visibility.
Example: Cloud processing at scale
A government agency monitoring plastic waste washed up on beaches needs to determine if the problem is getting worse, and also inform cleanup operations. Since the impacted area is large and requires regular, timely reporting, a solution is needed that can scale to process large amounts of imagery and run automatically.
To meet these requirements, an image scientist creates an anomaly detection workflow using ENVI desktop and deploys it to ENVI Insight. As new imagery for the area becomes available, the system automatically retrieves, processes and analyzes it using the workflow. The results are published to a cloud-based geospatial data store where analysts use a GIS dashboard to rapidly assess the data, perform quality assurance and share the actionable information with decision makers so an action plan can be created to address the problem.
Example: End-to-end workflows on any network
An operations unit has been tasked to detect ships in a specific area. Since ship movement is wide scale and frequent, it is challenging to keep up with the data acquisition and provide timely updates.
Using ENVI desktop, an image scientist uses SAR data to create a ship detection algorithm, which is then deployed to ENVI Insight for automated processing of the data in a highly scalable environment. ENVI Insight stores the outputs in a geospatial catalog, where analysts can use ENVI Connect to visualize and validate the accuracy of the detections. This enables rapid monitoring of ship locations and movement.