We may earn an affiliate commission when you visit our partners.
Course image
Kate Alison

QGIS Mega Course: Unlock the Power of GIS and Remote Sensing - Journey from Novice to Expert

Read more

QGIS Mega Course: Unlock the Power of GIS and Remote Sensing - Journey from Novice to Expert

Are you eager to harness the capabilities of GIS and spatial analysis for your work but feel lost when it comes to applying these analyses and selecting the right software?

Have you found GIS books and QGIS manuals to be less practical and yearn for a course that not only explains concepts but also guides you through a real-world GIS project?

Welcome to the enlightening QGIS Mega Course: GIS and Remote Sensing - Your Path from Novice to Expert. This course is your comprehensive roadmap to mastering GIS and Remote Sensing, using the latest version of the open-source software QGIS.

Course Highlights:

In this course, I will personally lead you through the implementation of GIS and Remote Sensing analyses within the cutting-edge QGIS platform. You will gain the skills to immediately utilize vector and raster data, as well as satellite imagery, for your professional work and Remote Sensing projects.

I will meticulously instruct you on how to navigate the popular open-source QGIS software, along with its remarkable tools and plug-ins, taking you from a beginner to an expert in GIS analysis.

Quantum GIS (QGIS) is an open-source Geographic Information System that accommodates a wide array of geospatial vector and raster file formats, as well as database structures. It boasts extensive GIS capabilities, encompassing diverse mapping features and data editing functionalities, enabling advanced global-scale analysis and visualization.

Course Objectives:

By the end of this extensive 7-hour course, you will have achieved the following:

  • Master the installation of QGIS and proficiently utilize its essential plug-ins, including Semi-Automatic Classification Plug-in (SCP), TrendsEarth, Google Earth Engine plug-in, SAGA, and OTB processing toolboxes.

  • Develop a profound comprehension of the fundamentals of GIS and Remote Sensing, delving into their core components.

  • Gain comprehensive knowledge of fundamental and advanced GIS data operations, spanning vector and raster data, as well as satellite imagery. You will acquire the skills necessary to execute GIS projects confidently.

  • Dive into QGIS to perform image preprocessing, calculate spectral indices, conduct land use and land cover classifications using Machine Learning algorithms, and visualize GIS data effectively to create informative maps for your reports.

  • And much more.

Ideal Audience:

This course caters to professionals across various domains, including geographers, programmers, social scientists, geologists, GIS & Remote Sensing experts, and anyone seeking to harness the power of maps in their field. It is tailored to those eager to expand their knowledge of geospatial analysis and satellite Remote Sensing within the QGIS ecosystem.

Practical Hands-On Experience:

Integral to this course are the practical exercises. You will receive precise instructions, downloadable materials, scripts, and datasets that will empower you to create maps and conduct geospatial analyses seamlessly using the QGIS software.

Seize the opportunity to embark on this transformative journey and enroll now. Unleash your potential and pave the way to becoming a GIS professional of tomorrow.

Enroll now

What's inside

Learning objectives

  • Learn step by step about qgis, it's environment and interface using the latest long-lasting release in 2021
  • Learn how to install and configure qgis, get familiar with the interface of qgis
  • Learn the power of qgis plug-ins and their applications: scp, otb, trendsearth, google earth engine plug-in and others
  • Understand the basic to advance gis concepts and analysis (both theory and practical analysis)
  • Analyze spatial data (vector and raster data, satellite images) using qgis 3.16
  • Learn the core gis operations on vector and raster layers
  • Conduct satellite image analysis in qgis
  • Learn how to visualize spatial data and how to create gis maps in qgis
  • Learn how to work on geospatial projects in qgis environment step-by-step
  • Get introduced to remote sensing concepts and image analysis in qgis
  • Become expert in gis analysis in qgis
  • Show more
  • Show less

Syllabus

Introduction
Course Motivation: Applications of GIS
Getting started with QGIS - installation & QGIS interface
QGIS - open source GIS software - an absolute leader in the free market
Read more
Installing QGIS on your PC - versions of QGIS
Lab 1: QGIS installation
A note on QGIS versions and it's plug-ins
QGIS interface: Toolbars
QGIS Plugi-Ins
Introduction to GIS analysis in QGIS
What is Geographic Information System (GIS)?
Basics of Geodata and its main types
Adding vector layer to QGIS
Visualization of vector layers in QGIS
Adding and visualizing raster files in QGIS 3.16
Saving the project in QGIS
GIS data sources - learn where to find the GIS data
Core Vector Analysis Part 1: Table Opeerations
Reading in non-spatial type of data & converting it to vector data
Reading in Excel Files & Joining Attribute Tables
Attribute Tables of vector data sets
Attribute Table Operations: Select Feautures
Attribute Table Operations: Compute and add geometry attributes (area, P)
Editing Attribute Tables
Adding new columns / Recalculating fields in attribute tables / Field Calculator
Basics of map layouts in QGIS and geovisualization
Visualization with quick settings in QGIS and Open street map
Lab: Your First GIS Map in QGIS
Color advice for cartography and GIS maps
Core Vector Analysis Part 2: Vector Overlay, Buffer zones, Distance Operations
Theory: Core Vector Analysis Part 1
Buffering in QGIS
Creating a Variable Distance Buffer
Vector Overlay: Erase
Vector Overlay: Union
Vector Analysis: Geometry Tools
Vector Analysis: Area Calculation & Field Statistics
Core Raster Analysis
Theory on Raster Analysis: Local Operations
Adding raster layers to QGIS project
Compute Topographical variables with the DEM raster layer
Compute Topographical variables with the DEM raster layer: Slope & Aspect
Reclassify Rasters with SAGA Toolbox in QGIS
Resampling raster data in QGIS
Advance raster overlay operations with SAGA Toolbox
Filtering raster data: Low Pass filter
Raster Data Analysis - Project-based Example
Introduction to the project task
Calculate the Slope
Removing decimal values from a raster layer
Raster Calculation: Calculate cost of building construction
Adding new field to vector's attribute table
Convert Vector to Ratser
Distance operations: Calculate proximity from the raster layer
Raster Multiplication: Scalar Value Multiplication
Raster Overlay: Adding two rasters
Raster Overlay: Masking out one raster layer by another
Learn core Remote Sensing Image Analysis in QGIS
What is Remote Sensing
Applications of Remote Sensing
What is Remote Sensing Image?
Insalling Semi-Automatic Classification Plug-in
Lab: Download satellite image with the Semi-Automatic Classification Plugin
Resolution types of Satellite Image
Image Disaply (Image Composites)
Planning Satellite Image Analysis Workflow
Image Enhancement
Calculation of spectral indices: NDVI
Image thresholding & visualisation: example of NDVI
Making a map layout in QGIS: Example of NDVI
Satellite Image Classification in QGIS
Basics of Satellite Image Classification
Lab: Unsupervised Image Classification in SCP
Image classification: basics of land use / land cover mapping
LULC results visualization in QGIS
Create your LULC map in QGIS
Plug-Inns Power of QGIS
Introduction to the section
Overview of OTB
Google Earth Engine Plug-In
Trends.Earth Plugin for QGIS
Installation of Trends.Earth Plugin
Registration for Trends.Earth Plugin
Where to get help on Trends.Earth
BONUS

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores core GIS concepts and principles, which is standard in the industry
Taught by Kate Alison, who are recognized experts in geospatial analysis and remote sensing
Develops foundational GIS skills with hands-on experience
In-depth instruction and guidance for working with vector and raster data, satellite imagery, and other geospatial data formats
Practical application of GIS techniques to solve real-world problems
However, it requires learners to be comfortable with technical concepts and software, which may not be suitable for all levels of learners

Save this course

Save QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert with these activities:
Join a study group or discussion forum
Engaging with peers allows you to share knowledge, clarify concepts, and gain different perspectives, deepening your understanding.
Show steps
  • Identify online forums, study groups, or social media communities related to GIS and QGIS.
  • Join the group and actively participate in discussions, asking and answering questions.
Explore QGIS plugins for image processing
Learning about plugins used for image processing will expand your capabilities in analyzing satellite imagery and performing advanced geospatial tasks.
Browse courses on QGIS Plugins
Show steps
  • Identify QGIS plugins that enhance image processing capabilities.
  • Install and explore the functionalities of each plugin.
  • Practice using the plugins on real-world datasets.
Develop a map layout in QGIS
Creating a map layout will help you apply your knowledge of QGIS and cartographic principles to present your data effectively.
Show steps
  • Choose a dataset and determine the purpose of your map.
  • Design the layout, including elements like the map, legend, scale bar, and title.
  • Use QGIS tools to format and arrange the elements in your layout.
One other activity
Expand to see all activities and additional details
Show all four activities
Develop a small GIS application using QGIS
Undertaking a project will challenge you to apply the skills and knowledge you've gained to solve a real-world problem.
Show steps
  • Identify a problem or task that can be addressed using GIS.
  • Gather the necessary data and resources.
  • Plan and design the application, including the map display, data analysis, and user interface.
  • Develop and test the application using QGIS tools and Python or another programming language.

Career center

Learners who complete QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert.
Core GIS : Land Use Land Cover & Change Detection in QGIS
Most relevant
Core GIS analysis in QGIS: learn conduct the GIS projects
Most relevant
Geospatial Data Analyses & Remote Sensing: 5 Courses in 1
Most relevant
Introduction to Geographic Information System in QGIS
Most relevant
Object-based Image Analysis & Classification in QGIS...
Most relevant
Complete Google Earth Engine for Remote Sensing & GIS
Most relevant
Satellite Remote Sensing Data Bootcamp With Opensource...
Most relevant
Machine Learning in Spatial Analysis: GIS & Remote Sensing
Most relevant
Geospatial APIs For Data Science Applications In Python
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser