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Advance Remote Sensing using ERDAS Imagine or ENVI

Gain proficiency in Advanced Remote Sensing with ERDAS IMAGINE or ENVI through live online sessions and hands-on training . Master GIS analysis, map production, classification, spatial modeling, and remote sensing techniques for informed decision-making.
After completion of the training you'll be:

  • Proficient in using ERDAS IMAGINE and ENVI - REMOTE SENSING

  • able to perform GIS Analysis work

  • able to make maps for publishing

Both online and offline(Bangalore and Thiruvananthapuram) mode available with customized class timings

Doubt clearing sessions with personalized assistance

Trainers with 5+ years of hands-on experience in various aspects of Geospatial Technology

Duration- 90 Days/180Hrs.

Monday-Friday (2Hrs./Day)

Training Overview

  • 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)

DALL·E 2024-04-03 17.06.07 - Design a single, realistic icon for the 'Advance Remote Sensi

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.

Training Module

​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

  • Mosaic

  • 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​

  • Resolution

  • 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

  • Digitizing

  • 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

  • Applications

Workshop tools

  • Bad band pixel

  • Gain off set

  • Fix out range data

  • Outlier and dropout

Thermal Remote Sensing

  • Multispectral thermal Band

  • ASTER and SENTINEL - 3

  • 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

  • Pre-Processing

  • Interpretation

  • Applications

Prerequisites

  • Basic GIS Knowledge

Top Companies who hire GIS Professionals

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Live Project and Placement Support

  • Live project work with our team

  • Publication of Reputed Conferences and Journals

  • Industrial Internship & Research

  • Field Based Studies

  • Projects, Labs for Practice, Assignments and Assessments

  • 100% Placement support guaranteed

  • We'll refer you to top MNCs who are hiring GIS professionals, like Cognizant, Accenture, DeduceTech, Wipro, and many more. 

  • We'll prepare you for the interview

Click Here To Enroll The Training Program

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