top of page

Certificate Course

Advance Remote Sensing using Erdas imagine or ENVI

Duration - 90 Days

Online Training(Live Session) &

Offline(Bangalore Campus)

April 90 days Erdas Vijay.png

Certificate Course in Advance ERDAS IMAGINE or ENVI - REMOTE SENSING

Geographic imaging professionals need to process vast amounts of geospatial data every day — often relying on software designed for other purposes and add-on applications that create almost as many problems as they solve.


ERDAS IMAGINE is a raster graphics editor and remote sensing application designed by ERDAS, Inc. It is aimed primarily at geospatial raster data processing and allows the user to prepare, display and enhance digital images for use in GIS or in CAD software. It is a toolbox allowing the user to perform numerous operations on an image and generate an answer to specific geographical questions. By manipulating data placement in imagery, it is possible to see features that would not normally be visible. The level of brightness, or reflectance of light from the surfaces in the image can be helpful with vegetation analysis, prospecting for minerals etc. Other usage examples include linear feature extraction, generation of processing chains ("spatial models" in ERDAS IMAGINE), import/export of data for a wide variety of formats, ortho-rectification, mosaicking of imagery, stereo and automatic feature extraction of map data from imagery. THE WORLD’S MOST WIDELY-USED RS SOFTWARE PACKAGE.

ERDAS IMAGINE provides true value, consolidating remote sensing, photogrammetry, LiDAR analysis, basic vector analysis, and radar processing into a single product. It offers many solutions in one, incorporating the following standards, enterprise capabilities, and products:
• Image analysis, remote sensing, and GIS
• Support for optical panchromatic, multispectral and hyperspectral imagery, radar, and LiDAR data
• User-friendly ribbon interface
• Multi-core and distributed processing
• Spatial modeling with raster, vector and point cloud operators, as well as real-time results preview
• High-performance terrain preparation and mosaicking
• A variety of change detection tools
• ERDAS ER Mapper algorithm support
• Ability to convert more than 190 image formats into all major file formats, including GeoTIFF, NITF, CADRG, JPEG, JPEG2000, ECW, and MrSID
• Comprehensive OGC® web services, including Web Processing Service (WPS), Web Coverage Service (WCS), Web Mapping Service (WMS), and Catalog Services for the Web (CS-W)


Imagery and LiDAR are the primary sources of data for mapping and managing features or resources. Whether you are studying changes in urban growth, sensitive environments, mapping resources, or assessing damage from natural disasters, a geospatial data archive enables you to reference and measure the amount of change that has taken place in a geographic area. Accurate and up-to-date data leads to quicker, more informed decisions.

Course Objective and Outcome

On completion the successful student will: 

  • Be proficient in using ERDAS IMAGINE and ENVI - REMOTE SENSING.

  • Be able to perform GIS Analysis work.

  • Be able to make maps for publishing. 

Who Can apply

Who want to get Advance Knowledge on ERDAS Imagine - Remote Sensing

Course - Duration / Training Methodology

Total Duration:- 90Days 


Mode of Training -

Bangalore - Classroom + Practicals.

Online - Live Online Classes. Daily 2 Hrs(Need to have a laptop or Computer with Good Internet)

               Dedicated Trainer, Practical sessions. One-on-One Live Training Session.

  • GIS Project Planning & Execution.

  • Hands-on Practical Training.

Course Module and Content

Advance Remote Sensing (ERDAS or ENVI)

Remote Sensing + IMAGINE Basics + Map Production

Fundamentals of Remote Sensing
Process of Remote Sensing
Satellite images
Image Analysis
Remote sensing applications
Imagine system requirements
Installation and licensing
Import /export
Viewing data with attributes
Image enhancements
Map composition
Introduction to Remote Sensing
What is a Remote Sensing?
History of Remote Sensing.
Process of Remote Sensing.
Image Analysis.
Future and development of Remote Sensing.

Landsat TM and Sentinel-2

Electromagnetic radiation and the atmosphere
Satellite band tradeoffs
Satellite orbits
Band spectral response
Landsat versus Sentinel-2
Landsat Thematic Mapper
Landsat 7/8 bands
Landsat 8 bands with examples (from NASA)
Reflectance spectra
Landsat DN computations--radiance, reflectance, brightness temperature
Contrast Enhancement
Landsat Thermal computations
Pan sharpening
Normalized satellite indexes
Band ratios
Atmospheric transmittance

Multispectral Classification + Change Detection

Subset an Image
Band Ratios
Using Spectral Characteristics
Unsupervised Classification
Supervised Classification
Atmospheric Correction
Zonal Image difference

Detection Spatial Modelling & Expert Systems

Perform advanced change detection with the Spatial Modeler.
Access, analyze and change image attributes with the Spatial Modeler.
Manipulate tables of data and LUTs using the Spatial Modeler Table Object.
Run multiple processes in one model and combine multiple models.

Advance Remote Sensing (ENVI)

Hyperspectral Image Analysis

Spectral library
Response functions
MNF transformation
Library matching,
Spectral angle mapper,
Spectral mixture analysis
End member extraction
Spectral transformation
Band detection,
Reduction and selection principles


Workshop tools

Bad band pixel
Gain off set
Fix out range data
Outlier and dropout

Thermal Remote Sensing

Multispectral thermal Band
Interpretation of thermal imagery
Image correction
Basic tools
Bath math

Microwave Remote Sensing

Introduction to Microwave remote sensing
Bands and its uses
Best usage of the bands according to the application

Add-Ons and Placement Support

Mock Interview

Technical Test 

Closing and Discussions.

Live Project Work.


Mid Test.

Resume Preparations.

Placement Assistance(Training & Interviews and Refer to the Companies).

Registeration and Course Fees

Course Fee - Call or Whatsapp +919980083996 for Fees

Fees can be paid using Bank Transfers, or Credit Card

Discount available based on Demand and Group Student Discount.
Contact the number for Monthly Discount. 

Duration : - 90 Days

Method - Training can be conducted Online or Can be conducted in Bangalore Campus.

How To Apply

Whatsapp/Call to +919980083996

Call for Registration

bottom of page