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"headline": "Perform more detailed and effective mapping of geospatial data",
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Technology continues to evolve and grow—and we aim to be at the forefront of that evolution to provide better services for our clients.
Our Geospatial teams have used satellite radar and LiDAR data for image gathering for years. However, we’re moving beyond reading pixelated images, now taking advantage of AI and machine learning to accurately identify objects.
We’ve created ExtractX™, a digital tool which uses a new detailed mapping method called object-based image analysis. Now, we can account for image brightness, color, and texture to form recognizable features in the data set for more effective geospatial mapping.
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"statDescription": "Analyze large areas like algal blooms in the Pacific Ocean with object\u002Dbased image analysis."
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"description": "You might have large parcels of land with lots of vegetation that need to be monitored. ExtractX™ can assist with land rehabilitation by identifying native versus invasive species of vegetation to exceed stringent environmental regulations. ",
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"description": "We had a client in Australia who wanted to stop sending field crews out to their mine site, but they still wanted to monitor how vegetation was recovering at the site. With ExtractX™, we were able to map out individual trees and shrubs and then monitor their height and their crown diameter using imagery and LiDAR data. We were able to limit the staff required and remotely provide detailed measurements on the biophysical parameters of the vegetation.",
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