Mobile Data Collection, GIS Mapping, Visualization and Analysis using ODK and QGIS Course

Introduction

It’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