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: Nate Oscar/Thursday, September 11, 2014/Categories: Webinars, IDL Webinar, ENVI Webinar
For years, remote sensing has provided valuable geospatial information for energy operations, exploration, ESH, and management. However, challenges frequently arise due to inconsistent and inaccurate product generation, which can result in numerous direct and indirect impacts on operations such as spatial inconsistencies or asset inventory errors.
Watch this recorded webinar to learn how new geospatial data sources and workflows can help you produce consistent, quality output layers that improve your complex analyses and reduce operational costs.
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