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Basic GIS Desktop - Short Term

Student Development Program



ArcGIS/Q-GIS, Microstation, and LPS are GIS is the most popular software available to perform any GIS type work. This course is geared toward understanding the fundamental concepts of:   

  • Geographic Information Science, Remote Sensing, and Cartography.

  • Geoprocessing, Geo-referencing, and Spatial Analysis.

  • Extracting information from spatial imagery and Topo Maps.

  • Analyze spatial data   

The candidate(s) will be made familiar with the fundamental concepts of GIS, remote sensing, and definitions such as spatial imagery, digital image, and digital image processing/analysis, etc. amongst others. Different variety of spatial data will be introduced and worked upon. Introduction to spatial analysis will provide an understanding for opting appropriate analysis tools for a specific project. 


Any Graduate or Diploma Holder got basic knowledge of MS-Office, Computer Knowledge. 

Course duration:

15Days (s.t. Instructors/Student discretion)

Mode of Training -

Bangalore - Classroom + Practicals.

Online - Live Online Classes. Daily 3 Hrs(Need to have a laptop or Computer with Good Internet)

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

Course objectives:

On completion, the successful student will

  • Be proficient in using ArcMap & QGIS, LPS, and Microstation.

  • Be able to reference images, digitize features (Create & Edit).

  • Understand and be able to extract pertinent information.

  • Know about the potential of and the procedures of spatial analysis.

  • Be able to make maps for publishing.

Software Requirements:


Topics to be covered 

Module 1 - Introduction to GIS (Theory) 

  • What is GIS?

  • What can you do with GIS?

  • What is Remote Sensing?

  • Think of ways to apply GIS

  • What is Resolutions?

  • Types of Resolutions

  • Digital Image Processing

  • Introduction to GPS

  • What is Spatial Data Model (Vector and Raster)

  • Overview of GIS Architecture



Module 2

Datum and Projection  

  • Datum

  • Coordinate System

  • Map Projection

  • Map Scales

Module 3 -   

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)

Module 4 - Symbology & Labelling 

  • Introduction to Symbolization.

  • Single Symbol, Unique Value

  • Graduated Colours, Proportional Symbol

  • Dot Density, Chart

  • Heat Map

  • Making a map with labels

  • Displaying dynamic labels

  • Reference scale

  • Controlling which features are labelled

  • Controlling where labels are placed

  • Converting labels to annotation 

Module 5

Spatial Data Input and Editing 

  • Introduction to Spatial datasets

  • Topology & Error Checking

  • Basic Spatial Adjustment 

Module 6 -   

Remote Sensing & Orth rectification    

  • Satellite Imagery and Types – Point Cloud

  • Using GCP, Vector files, KML, Top sheets, PDF

  • Heat Map using QGIS and Hotspot Analysis

Module 7 - Cartographic Principles and Design  

  • Introduction.

  • History of Maps.

  • Map Layout.

  • Symbology.

  • Data Presentation

Module 8

Introduction to Database Management (Practical) 

  • Creating, Managing Geo-Database.

  • Domain and Subtype.

  • Schema & Topology.

  • Projections and Transformations.

  • Feature Conversions.

  • Raster Dataset

Module 9 -   

Remote Sensing & Orth rectification    

  • Rubbersheet .

  • Transformation (Affine, Projective and Similarity)

  • Edge Snap

Module 10- 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 

Module 11

Introduction to Vector & Raster GeoProcessing 

  • Clip, Buffer, Union, Merge Dissolve – Vector.

  • Clip, Composit Band, Mosaic, Split Raster

Course Content for LiDAR  

LiDAR (MicroStation) - Practicals  

  • Installation and Capabilities.

  • Characteristics of LiDAR data.

  • Measuring point cloud coverage area.

  • Creating a Point Cloud.

  • UAV images as Picture Points.

  • Point Cloud Visualization.

  • Filtering LiDAR, Editing LiDAR.

Course Content for LiDAR  

LiDAR (MicroStation) - Practicals  

  • Reclassifying a Point Cloud.

  • Extracting Vector Features.

  • Using Point Cloud - Create DTM or DSM.

  • Terrain Analysis and Volume Calculation.

  • Exporting LiDAR data

  • Exporting las or laz files.

  • Project Work

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