

Basic GIS Desktop - Short Term
Student Development Program
ABOUT THE COURSE
Introduction:
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.
Prerequisite:
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:
ARCGIS/QGIS, GOOGLE EARTH PRO, Micro Station
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