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Advanced GIS & RS using ArcGIS Pro & QGIS

This course offers a comprehensive overview of GIS and remote sensing, including data handling, cartography, geoprocessing, satellite imagery analysis, network/spatial analysis, hydrology, and 3D modeling techniques.

After the Course you'll be familiar with

  • ArcGIS Pro

  • QGIS

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- 60 Days/120 Hrs.

Monday-Friday

What you'll learn

  • Introduction to GIS & Remote Sensing

  • Datum and Projection

  • Data Types, Heads-up Digitization

  • Symbology & Labelling

  • Spatial Data Input and Editing

  • Introduction to Database Management

  • Spatial Adjustment

  • Working with CAD data in ArcGIS Desktop

  • Introduction to Vector & Raster Geoprocessing

  • Cartographic (Map Layout) Principles and Design

  • Overview of existing satellites

  • Image Processing

  • Image Analysis

  • Image Classification

  • Network and Spatial Analysis

  • Hydrology

  • Introduction to Toolbox

  • Model Builder 

  • 3D Analysis

ArcGIS icon
QGIS logo

Course Tools and Exercises

Model Builder

Labelling

Map Layout

Image Classification

ArcGIS Pro & QGIS Intermediate Level

​-Introduction to GIS​

  • What is GIS?

  • What can you do with GIS?

  • What is Remote Sensing?

  • Think of ways to apply GIS.

  • What are the Resolutions?

  • Types of Resolutions.

  • Digital Image Processing

  • Introduction to GPS

  • What is Spatial Data Model (Vector and Raster)

  • Overview of GIS Architecture

-Datum and Projection

  • Datum

  • Coordinate System

  • Map Projection

  • Map Scales

​-Data Types, Heads-up Digitization

  • Vector and Raster Data

  • Non-Spatial Data (CSV)

  • Creating Vector Files and Data Collection Attribute Table Creation/Editing, Join Table

  • Attribute table (Join Table & Spatial Query (By Location and Attribute)

​-Symbology & Labeling

  • Introduction to Symbolization.

  • Single Symbol, Unique Value

  • Graduated Colors, Proportional Symbol

  • Dot Density, Chart, Heat Map

  • Making a map with labels

  • Displaying dynamic labels

  • Reference scale

  • Controlling which features are labeled

  • Controlling where labels are placed

  • Converting labels to annotation​​

-Spatial Data Input and Editing

  • Introduction to Spatial datasets

  • Topology & Error Checking

  • Basic Spatial Adjustment

-Cartographic Principles and Design

  • Introduction. History of Maps.

  • Map Layout

  • Symbology

  • Data Presentation

​-Introduction to Database Management

  • Creating, Managing Geo-Database.

  • Domain and Subtype.

  • Schema & Topology.

  • Projections and Transformations

  • Feature Conversions.

  • Raster Dataset

-Spatial Adjustment

  • Rubber sheet.

  • Transformation (Affine, Projective, and Similarity)

  • Edge Snap

-Working with CAD data in ArcGIS Desktop

  • Managing CAD data in ArcGIS

  • Using CAD data in ArcGIS.

  • Transforming CAD files.

  • Understanding CAD coordinate systems

  • Georeferencing CAD data using real-world coordinates.

  • Applying projection and world files to CAD data

  • Converting CAD data to geodatabase feature classes

-Introduction to Vector & Raster GeoProcessing

  • Clip, Buffer, Union

  • Merge Dissolve – Vector.

  • Clip, Composite Band

  • Mosaic, Split Raster

Advance GIS Desktop Topics (ArcGIS Pro)

​-Introduction to Toolbox (ArcGIS)​

  • Analysis Tool (Practical)

  • Extract and Overlay

  • Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)

  • Statistics Analysis

-Network Analysis (Practical)

  • Finding the Shortest route.

  • New Service Area.

  • New Closest Facility

  • New OD Cost Matrix.

  • New Location Allocation

​-Introduction to Remote Sensing (Theory and Practical)

  • Basic Remote Sensing and Jargon.

  • Overview of existing satellites (e.g. Landsat and Sentinel).

  • Future and development of remote sensing.

  • Hyperspectral Data Analysis (Overview).

  • Normalized Difference Vegetation Index (NDVI)

​-Image Classification (Practical)

  • Data exploration and pre-processing.

  • Collecting training samples.

  • Evaluating training samples.

  • Editing classes.

  • Creating the signature file

  • Clustering (unsupervised classification).

  • Examining the signature file

  • Editing the signature file.

  • Applying classification.

  • Post-classification processing

-Performing Spatial Analysis (Practical)

  • Lesson introduction.

  • The geographic approach - revisited.

  • Questions you can answer with GIS

  • What is spatial analysis?

  • Common analysis tasks, Analyze crime data

  • Watershed Analysis

-Spatial Statistics (Practical)

  • Hot Spot Analysis

  • Geostatistical Analysis

​-Model Builder (Practical)

  • Building Models for GIS Analysis using ArcGIS.

  • Create a new geoprocessing model.

  • Validating the model.

  • Set model parameters

  • Prepare the model for sharing

-3D Visualization Techniques using ArcScene (Practical)

  • Data used for 3D visualization.

  • Z-values.

  • Raster data

  • Triangulated irregular networks (TINs).

  • Terrain datasets Multipatch features.

  • 3D features. 3D navigation basics.

  • Identify data types.

  • Hot Spot Analysis

​

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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 Course

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