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

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. Modeling and predicting how these changes will affect coastal areas and population centers is a rapidly evolving science. The U.S. Department of Defense (DoD) has been looking into how extreme weather (precipitation and drought) may affect... Read More >
Environmental Applications for ENVI Deep Learning

Environmental Applications for ENVI Deep Learning

9/25/2020

See how ENVI Deep Learning can be used for environmental applications as demonstrated by Zach Norman in this video. Read More >
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 >
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