Certificate Course In GIS Desktop - Advance

ABOUT THE COURSE

Introduction:

ArcGIS/Q-GIS. MicroStation and LPS2011 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, Network Analysis, Spatial Analysis, Land Use, and Land Cover, HotSpot Analysis, Interpoloation, Web Services (WMS and WFS)
Spatial Query, Spatial Database Concepts with PostGIS(QGIS), Introduction to Geoserver using QGIS.
Analyze spatial data (Extract, Overlay and Proximity), 3D Analysis.

The candidate(s) will be made familiar with the Analysis 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 tool for specific project.

Prerequisite:

Basic to Intermediate Level Understanding of GIS and Remote Sensing.

Course duration:

2 to 3 month (s.t. Instructors/Student discretion)

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.

Course objectives:

On completion the successful student will:

Be proficient in using ArcMap & QGIS.
Be able to perform GIS Analysis work.
Understand and be able to connect and publish Database and GIS Server.
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, LPS, MICROSTATION

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

Introduction to Toolbox (ArcGIS & QGIS)

Module 12 - Analysis Tool (Practical)

Extract.
Overlay.
Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Statistics Analysis

Introduction to Toolbox (ArcGIS & QGIS)

Module 13 - Network Analysis (Practical)

Finding Shortest Route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation

Module 14 - Introduction to Remote Sensing (Theory and Practials) (QGIS)

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)

Module 15 -

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

Module 16 -

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

Module 17 - Spatial Statistics (Practical)

Hot Spot Analysis
Geostatistical Analysis

Module 18 -

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

Module 19 -

3D Visualization Techniques using ArcScene (Practical)

Data used for 3D visualisation.
Z-values.
Raster data.
Triangulated irregular networks (TINs).
Terrain datasets.
Multipatch features.
3D features.
3D navigation basics.
Identify data types.
Hot Spot Analysis

COURSE CONTENT FOR PHOTOGRAMMETRY

Photogrammetry (LPS 2011) - Practical’s

Installation and Capabilities.
Photographic methods and other field considerations.
Photogrammetry theory and applications.
Plane and ortho rectification of imagery.
Intro to 3D Modelling.
Geometry, co-ordinate axes, scale, measurement.
Satellite photogrammetry.
Air photo mosaics and orthophotos

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.
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

Introduction to Web Map Applications:

Opensource and ESRI Web Application Architecture (Theory)

Module 1 – Spatial Database concept with POSTGIS and GeoServer (Practical)

PostgreSQL installation with POSTGIS.
Establishing the Database connection to PostGIS.
Import and Export data in POSTGIS and in QGIS.
Installation and Connecting Geoserver and QGIS

Introduction to Web Map Applications:

Opensource and ESRI Web Application Architecture (Theory)

Module 2 - Connecting to web services (QGIS & ARCGIS) (Practical)

Web Mapping Service (WMS).
Web Feature Service (WFS).
Finding web services

Module 3 – Web Map Application (Practical)

Working with ArcGIS for Developers Dashboard.
Web Maps.
Web Scenes.
Layers

Module 4 - ArcGIS Online (Practical)

Introducing Web GIS.
Mapping and Visualization.
Web Map.
Components of Web Map.
Feature Layers and time layers.
Web map uses.
Base map layers and operations layers.
Web Apps & WebApp Builder for ArcGIS.
Configurable Web App Examples.
Creating Your First Application with WebApp Builder.
Designing Your Application with Themes.
Adding Widgets.
Previewing Applications.
Creating and Using Templates.
Sharing your Content

Add-Ons

Mock Interview
Technical Test
Closing and Discussions.
Live Project Work.
Labs.
Mid Test.
Resume Preparations.
Placement Assistance(Training & Interviews and Refer to the Companies).