IntroductionIt’s a known fact that information is processed from
facts and figures; we also agree that if data is not well managed it
can be overwhelming. Giving a spatial dimension to data and performing
spatial analysis in a GIS environment speeds interpretation
visualization which eventually speeds up implementation of programs.
Integrating GIS and Remote Sensing as a decision making tool has seen
many organizations gain competitive advantage and remain relevant
globally. To make timely decisions requires not only innovative ways
to access accurate and real time information, but also tools to help
present the information in ways that are useful.
Everything that happens in this world has a spatial dimension and this
has made GIS applicable across all fields e.g. in agriculture,
business, forestry, crime, mining, health, transport and
communications, utility management, climate change, planning etc. A
geographic information system (GIS) will allow you to bring all types
of data inform of layers, overlay them to perform analysis and
eventually publish a map from that.
This main objective of this course is to help our client understand
how well they can apply GIS and Remote Sensing in their day to day
activities of their organization. The course will be hands-on
exercises in Quantum GIS (QGIS).
Duration
10 Days
Course Objectives
Develop and implement a GIS project
Master the principles and concepts of GIS and RS
Acquire, manipulate, save the data sources in a GIS
Understand how GIS database works and how to update
Lear how to edit data in GIS
Learn map design ,symbolization and publishing
Mastering the output and dissemination of results of a GIS project.
Present the software and data sources available on the current GIS
market
Learn digital image processing techniques
Become familiar with specific functionality to the GIS: "Spatial
Analysis"
Discover and use the internet for publishing maps
Course Outline
Introduction to GPS, GIS and Remote Sensing Principles
Principles of GIS and Remote Sensing
Components of GIS Systems
GIS Capabilities and Functions
Spatial Data Infrastructure
Introduction to GPS and Global Navigation Satellite
Data Acquisition: Using Mobile based GPS (ODK)
Principles and concepts of GPS
Introduction to Mobile Data gathering
Getting started
Survey Authoring
GIS Mapping ODK collected data
Online web mapping with Google maps
Exporting to GIS /RS environment for further analysis
Hosting the data online
Data Acquisition: Extraction of feature from other sources
Extracting data from Satellite images,
Extracting data from online GIS data sources
Importing data to GIS
Obtaining Data from topographic sheets
Downloading Data from open street maps
Database Design and development
Working with spreadsheets data in GIS
Conceptual and logical database design
Building and coding the attributes
Digitizing and scanning of maps
Relating spatial and attribute data
Editing and management of GIS
Adding feature to GIS data
Reducing GIS data
cutting points of interest in image datasets
Transforming GIS data
Integrating Imagery and Remote Sensing into GIS
Radiometric and atmospheric correction
Temporal normalization
Geo-coding and geo-referencing
Transformation
Signature development
Supervised Classification
Unsupervised Classification
Change detection
Accuracy assessment
Geo-Spatial Analysis
Geo-processing
Creating views and themes
Working with themes
Working with attribute tables
Spatial query and analysis
Working with charts
Creating a map layout
Digital Cartography and Visualization
Introduction to cartographic visualization and the mapping process
Components of a map
Map design
Symbol design
Name design and placement
Concept of scale
Map projections
Data pre-processing techniques
Thematic mapping;
Digital mapping
Online Publishing of maps and GIS outputs
Working with Google Maps and Fusion Tables
Publishing into other web based platforms
Case study of a related programme use of GIS and RS technology
business
courses
workshop
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17/04/2021 Last update