• L3Harris Geospatial
    TECHNOLOGY CASE STUDIES

Our case studies represent a wide range of industries using L3Harris Geospatial solutions and products to solve critical challenges.


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Using SAR Data to Monitor the Impacts of Illegal Mining in Istmina, Colombia

7/19/2021

Authors: Rafael Castro and Andres Castillo , Geospace Solutions Illegal mining in Latin America... more »

U.S. DoD Partner Uses DTM Data to Mitigate Effects of Climate Change

12/2/2020

The Earth’s climate is rapidly changing and few areas on the planet have been left untouched.... more »

ENVI Deep Learning Identifies Damaged Building Structures in Wake of Nashville Tornado

7/22/2020

In the aftermath of a tornado, flood or other disaster, the focus of emergency response agencies is... more »

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IDL Helps Visualize Complex Earth...

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Using Imagery to Find Gold-Bearing...

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IDL Used to Visualize and Analyze...

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Highway Collapse: Monitoring Subsidence Using ENVI SARscape

Highway Collapse: Monitoring Subsidence Using ENVI SARscape

9/10/2020

On July 12, 2019, a large crack began to spread across the east-bound lanes of U.S. Highway 36 between Denver and Boulder, Colorado. The highway ultimately collapsed, causing major traffic delays and tens of millions of dollars spent to fix the problem. Using Synthetic Aperture Radar (SAR) data and ENVI SARscape an analysis was performed to... Read More >

ENVI Deep Learning Identifies Damaged Building Structures    in Wake of Nashville Tornado

ENVI Deep Learning Identifies Damaged Building Structures in Wake of Nashville Tornado

7/22/2020

In the aftermath of a tornado, flood or other disaster, the focus of emergency response agencies is to reach the hardest hit areas first. Speed is of the essence. The damage must be assessed quickly so that search and rescue personnel – along with vital resources such as food, water, and medical aid – can be deployed in a... Read More >

Apply Deep Learning to Analyze the Health of Stores

Apply Deep Learning to Analyze the Health of Stores

11/11/2019

Many big-box retailers like Walmart, Target, and Costco are increasingly under pressure to provide near real-time insights into their consumer-base while at the same time maximizing profits through the exploitation of Big Data. Investors similarly struggle with this same problem as they try to anticipate trends and bet on the stores and... Read More >

Applying ENVI Deep Learning for Disaster Response

Applying ENVI Deep Learning for Disaster Response

9/27/2019

It is imperative to quickly assess damage after a natural disaster to aid rescue efforts and start the rebuilding process. Disaster response organizations usually receive access to satellite, aerial, and UAV imagery to help with this task. However, manually looking at images to assess damage and make other critical decisions is difficult... Read More >

L3Harris Geospatial Develops Automated Fence-Line Extraction Technique for Cadaster Updates

L3Harris Geospatial Develops Automated Fence-Line Extraction Technique for Cadaster Updates

9/23/2019

A pilot project in Queensland, Australia, demonstrated that the automated extraction of fence lines from airborne LiDAR and Imagery data is an effective method of enhancing the spatial accuracy of a digital cadaster database. The process, developed with the ENVI® and IDL® analysis software, shows that the extraction process can be... Read More >

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