Attend a live webinar or watch a previously recorded webinar to learn about specific solutions that our products provide geospatial data users.
Join Amanda O'Connor as she discusses her presentation, "Using GPU's to Accelerate Orthorectification, Atmospheric Correction, and Transformations for Big Data," originally presented at the 2013 AGU Conference. more »
In this webinar, we’ll take a look at the ENVI LiDAR user interface to become familiar with out-of-the box functionality. We will also review custom extensions for ENVI LiDAR, developed in IDL. A big advantage of ENVI LiDAR is its extensibility with IDL, opening a world of potential for custom LiDAR analytics. more »
This webinar looks at the different types of Atmospheric Correction tools available in ENVI. It starts with a look at what Atmospheric Correction is used for, and when you and don't need to apply it. Finally it gives a live look at QUAC and FLAASH and how to configure these tools to get the best information from your data. more »
This webinar takes a very basic look at ENVI capabilities at the server level. It shows diagrams depicting how web based analysis works, and shows some examples of JavaScript clients calling the ENVI Services Engine. Benefits of this type of technology include developing apps or web based clients to run analysis, running batch analysis on multiple datasets, and integrating ENVI image analysis into the Esri® platform. more »
This webinar highlights some of the tools available to ENVI and IDL users, which allow them to analyze data and extend ENVI. Learn where to access code snippets, detailed explanations of parameters, and demo data that comes with the ENVI + IDL install. more »
This webinar takes a quick look at the ENVI LiDAR interface and demonstrates how to easily transform geo-referenced point-cloud LiDAR data into useful geographic information system (GIS) layers. ENVI LiDAR can automatically extract Digital Elevation Models (DEMs), Digital Surface Models (DSMs),contour lines, buildings, trees, and power lines from your raw point-cloud LiDAR data. This information can be exported in multiple formats and to 3D visual databases. more »
Let’s say you need to generate a large-scale information product. Maybe an impervious surface map or... more »
Wondering how you can use machine learning, and more specifically deep learning technologies, to get a... more »
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