Working with LiDAR Data (4 hours)

* Use the ENVI LiDAR application to display, navigate and process a 3D point cloud and to create vector and raster elevation products.

Analyzing Vegetation (4 hours)

* Create vegetation products for large-scale areas from multispectral imagery and use LiDAR point clouds to obtain detailed locations and measurements of individual tree canopies.

Land Cover Classification (3 hours)

* Use machine-learning tools to perform supervised classification on multispectral imagery and create a map of land-cover types such as vegetation, bare Earth, water, buildings, and paved roads.

Spectral Analysis of Materials (4 hours)

* Use target detection and look for features whose spectra closely match that of a known, or reference, spectrum to locate spectral targets of interest in an image.

Stereo Imagery and Photogrammetry (2 hours)

* Create different products from high-resolution, panchromatic, stereographic images of a copper mine, including point clouds and Digital Surface Models.

Using Viewshed Tools for Route Analysis (2 hours)

* Use interactive viewshed tools to map areas that are visible and/or hidden from specific positions, based on Digital Surface Models.

Creating Models with ENVI Modeler (2 hours)

* Create and run custom image-processing workflows. Models can be shared with others and deployed in both desktop and enterprise environments.

Using ENVI + IDL to Create Custom Slope Image (2 hours)

* Demonstrates how to leverage IDL and the ENVI API to create custom solutions for specific purposes.

Creating Custom Tools in ENVI (2 hours)

* Build custom tools in ENVI that create image products for specific purposes using the ENVI Modeler.

ArcGIS Pro Integration (2 hours)

* Learn different ways that ENVI seamlessly integrates with ArcGIS Pro and implement workflows from the ENVI Modeler in the ArcGIS Toolbox.

Advanced ENVI for GEOINT

Advanced ENVI for GEOINT is a scenario-based follow-on to ENVI Basics for GEOINT, designed for remote sensing specialists, geospatial engineers, or risk managers wanting to produce advanced products to support various operations. The 10 modules represent scenarios in which students solve complex real-world geospatial problems and generate sophisticated, actionable intelligence products from diverse sensor sources.

Core Components:

Advanced Spectral Processing and Analysis: Utilizes hyper- and multispectral imagery for feature detection, material identification, and classification.
LiDAR Point Cloud Processing: Navigating 3D point clouds, measuring distances, and generating elevation raster or vector products.
3D Terrain Analysis: Exploit high-resolution, stereographic images to generate raster elevation products and use viewshed tools to determine zones of visibility for field operations.
Workflow Automation: Utilizing ENVI’s Modeler and IDL for scripting, customizing, and automating repeatable GEOINT tasks.
ArcGIS Pro Integration: Export ENVI Modeler workflows as ArcGIS Pro toolboxes and synchronize both applications displays for enhanced spatial analysis.

Learning outcomes

After this course, you will be able to:

Process and analyze LiDAR, optical, and SAR data in ENVI to generate elevation models, vegetation metrics, and activity-based insights.
Apply supervised, unsupervised, machine learning, and deep learning techniques for land cover classification, material identification, and aircraft detection.
Perform advanced spectral and change detection analyses, including vegetation indices and target detection.
Create and automate geospatial workflows using ENVI Modeler, ENVI + IDL, and custom tools to produce repeatable, value-added products.
Generate 3D products and terrain models from LiDAR and stereo imagery, including point clouds, DSMs, and visibility analyses for route and observer planning.
Integrate ENVI outputs with ArcGIS Pro to support broader GIS workflows and decision-making environments.

These skills will enable you to move from manual, time-consuming tasks to accelerated, automated workflows, enhancing situational awareness for applications such as threat detection, crisis response, and environmental monitoring.

Course content

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Is this course for you?

Target Audience
- Remote sensing specialists
- Geospatial engineers
- Disaster relief coordinators, emergency managers, NGO analysts, etc.
- Anyone needing to produce advanced, actionable geospatial products.
Knowledge prerequisites
A basic understanding of remote sensing and Geographic Information Systems (GIS) is suggested.A working knowledge of ENVI is desirable.
System Requirements
Preferred Platform: Windows 10 and 11 (Intel/AMD 64-bit) Other: Linux (Intel/AMD 64-bit, kernel 4.18.0 or higher and glibc 2.28 or higher) macOS 12, 13, and 14 (Intel 64-bit and M-series)Disk Space: Approx. 4GB for installationMemory: Minimum 8GBGraphics:…

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Data Sharing & Licensing Information (GDPR)

For the purposes of software licensing, access management, and regulatory compliance, certain personal data (such as name, email address, institutional affiliation, and country of residence) will be shared with NV5, the provider of the ENVI software.

This data will be:

shared only where necessary for the purposes described above,
processed in accordance with applicable data protection laws (including GDPR), and
handled in line with NV5’s data protection and information security policies.

By enrolling, you consent to this data sharing for the stated purposes.

Export Control & Regulatory Compliance

Geoversity is required to ensure compliance with applicable export control, regulatory compliance and institutional policies in connection with the use of licensed software.

Enrollment may be restricted for certain individuals due to applicable regulatory or geographic access requirements. In particular, access may not be available to students located in, or ordinarily resident in, certain countries or regions.

If a restriction is identified, the registration will be canceled and any fees paid will be fully refunded.

By enrolling, you acknowledge and accept these conditions.

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Learning outcomes

Course content

Working with LiDAR Data (4 hours)

Analyzing Vegetation (4 hours)

Land Cover Classification (3 hours)

Spectral Analysis of Materials (4 hours)

Stereo Imagery and Photogrammetry (2 hours)

Using Viewshed Tools for Route Analysis (2 hours)

Creating Models with ENVI Modeler (2 hours)

Using ENVI + IDL to Create Custom Slope Image (2 hours)

Creating Custom Tools in ENVI (2 hours)

ArcGIS Pro Integration (2 hours)

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Is this course for you?

Target Audience

Knowledge prerequisites

System Requirements

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