Let’s say you need to generate a large-scale information product. Maybe an impervious surface map or land use/land cover map. You’ll need high-powered analytics, access to data, and the computing power to chew through it all. But it’s a short term project that will wrap up in a month, maybe two.
CloudEO and Harris have partnered to offer ENVI in the Cloud; a cloud-deployed version of desktop ENVI. Just log-in and start working – it’s that easy!
Wondering how you can use machine learning, and more specifically deep learning technologies, to get a jump on the competition? This webinar will provide a brief, high-level overview of machine learning and its applications before delving into Harris’ five year head start developing deep learning technologies that are being deployed today. Harris has applied…
Let’s say you need to generate a large-scale information product. Maybe an impervious surface map or...
Wondering how you can use machine learning, and more specifically deep learning technologies, to get a...
Author: Abby Lehman/Friday, January 09, 2015/Categories: Webinars, ENVI Webinar
As anyone living in a major drought region will tell you, water has become the new gold. Properly conserving and managing our most valuable natural resource is becoming more and more important as the world’s climate changes. Everyone from local farmers to national government agencies are using innovative techniques, including geospatial technologies to improve water conservation and increase agricultural efficiencies overall.
In this webinar, see how the combination of imagery from Airbus Defense and Space and the advanced ENVI image analysis software from Exelis can be used to increase agricultural efficiencies, including estimating crop yields and water content, identifying stressed plants, combating disease and pests, and more.
View this webinar to learn how you can:
Number of views (22067)/Comments (1)
2/22/2017 11:15 PM
I would be interested in learning more about you Precision Agriculture Tools
Best regards from Finland, Heikki Laurila
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