Platform for starters in the geo sector
200 courses, 20 online supports, 60 moocs,
10 work to work trajectories,
MOOC: The ENVI image analysis software tutorial
- Yes I want to do this MOOC
With 80 minutes of step-by-step video tutorials you will become the Expert on ENVI! Enroll now!
As described by the official webpage of ENVI, Harris Geospatial: "ENVI image analysis software is used by GIS professionals, remote sensing scientists, and image analysts to extract meaningful information from imagery to make better decisions. ENVI can be deployed and accessed from the desktop, in the cloud, and on mobile devices, and can be customized through an API to meet specific project requirements."
ENVI® is designed to be used by anyone who relies on imagery and data to make decisions. It delivers expert-level results across the board, regardless of a user's prior experience with imagery.
ENVI® is a flexible solution that can be customized to meet specific project needs and can be deployed and accessed from the desktop, in the cloud, and on mobile devices. Fully integrated with ArcGIS for Desktop and ArcGIS for Server from Esri, users can access ENVI® tools directly within the Arc environment to add image analysis capabilities to their GIS models and applications.
ENVI® supports imagery from today’s newest and most popular satellite and airborne sensors, including multispectral, hyperspectral, panchromatic, LiDAR, infrared, thermal, radar, HDF5, full-motion video, LAZ, ASCII, and NET CDF-4. ENVI® includes a comprehensive suite of image analysis tools that allowing customers to access proven algorithms to quickly, easily, and accurately analyze imagery.
With this remote sensing online course you will learn all you need to know on how to process remote sensing images with the ENVI software!
- Basic ENVI data handling operations
- Simple and Complex Multispectral Visualization
- Statistics, Region Growning, Scatter plots
- Both interfaces, ENVI Classic and ENVI
- Region of Interest Tool handling from simple to complex operations
- Classification and post classification analysis