In the aftermath of a tornado, flood or other disaster, the focus of emergency response agencies is... more »
It is imperative to quickly assess damage after a natural disaster to aid rescue efforts and start the... more »
BACKGROUND Traditional industries that are linked to mobility, public safety, logistics and even... more »
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See how ENVI Deep Learning can be used for environmental applications as demonstrated by Zach Norman in this video. Read More >
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 >
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 >
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 >
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 >