aerial imagery

aerial imagery

Any remotely sensed nonphotographic image taken from the air. This does not include imagery obtained from space.
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Last week, Geomni activated one of its regional hubs and is proactively capturing aerial imagery in response to the Southern California fires.
Kosta Browne also uses aerial imagery, but with a different purpose: precision irrigation.
Overwatch Imaging, a small business specializing in customized large-scale aerial imagery intelligence systems, successfully completed a year-long program to upgrade the autonomous image processing capabilities of its TK-X family of airborne multi-camera payloads, the company said.
Using its patented HyperCamera2 technology, Nearmap is revolutionizing the oblique aerial imagery market with the same access model.
OGSystems' PeARL Flash generates user defined, on demand 3D derivative products such as Digital Terrain Models, Digital Surface Models and true color encoded point clouds directly from 2D imagery and allows customers to rapidly process aerial imagery and then view results over a secure internet connection.
It is understood that Google uses a computer algorithm that is able to process 45-degree aerial imagery along with Google Maps data to create the images.
A DRONE that acquires aerial imagery to identify stressed crops is being piloted in the UK over the summer by scientists at Fera.
17 June 2015 - US-based aerial imagery, data analytics and GIS solutions provider EagleView Technology Corp.
The author has organized the main body of his text in ten chapters devoted to the rise of digital humanitarians, the rise of big data, crowd computing social media, crowd computing and aerial imagery, artificial intelligence for disaster response, artificial intelligence in the sky, verifying big crisis data with crowd computing, verifying big data with artificial intelligence, digital humanitarians in the Arab Spring, and next-generation digital humanitarians.
It is understood that Google recreates the buildings using a computer algorithm which processes 45-degree aerial imagery and Google Maps data to create threedimensional models.
Yang, working with Texas A&M AgriLife scientists, began evaluating whether aerial imagery could spot specific problem sites in cotton fields when, a few years ago, growers started using a new fungicide for cotton root rot control.
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