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Introduction to ENVI Analytics

In this four part course, we cover two chapters of our Introduction to ENVI Analytics training course. The content covers the basics of ENVI including: opening and displaying imagery and vector data, general overview of buttons and tools, setting preferences, and data display concepts. The content is geared for creating a high level understanding of ENVI's display concepts with data and, while aimed at beginners, can also teach advanced users some important tips.

Please note that due to technical issues that occurred during the recording of this course, you may experience some intermittent audio breaks.

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Extracting Information from LiDAR Data

ENVI provides a complete set of image processing and analysis tools and is designed to help users get the most out of their data. The Feature Extraction (FX) module allows users to extract features from point cloud data, as well as multispectral and hyperspectral imagery.

This workshop focuses on using the ENVI FX module to display and extract information from 3-D point clouds. ENVI FX supports most common LiDAR formats such as LAS, Binary, ASCII, and NITF LiDAR. Using the FX module, you can generate elevation products such as Digital Surface Models (DSMs), Digital Elevation Models (DEMs), and digital elevation contours. ENVI FX automatically extracts 3D features from LiDAR point clouds such as buildings, trees, power lines, and power poles. In addition, the software can be customized to extract any features from LiDAR point clouds. Products derived from LiDAR data processing are ready for import directly into a GIS.

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