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4.32 out of 5
44 reviews on Udemy

Core GIS : Land Use Land Cover & Change Detection in QGIS

Become Expert in QGIS for Geopatial data Analysis (ie. Remote Sensing & GIS ) and learn Land Use and Land Cover mapping
Kate Alison
2,232 students enrolled
English [Auto]
Fully understand the basics of Land use and Land Cover (LULC) Mapping and Change Detection
Get an introduction and fully understand to Remote Sensing relevant for LULC mapping
Learn the most popular open-source GIS and Remote Sensing software tools (QGIS, SCP)
Pre-process and analyze Remote Sensing images in QGIS
Learn about supervise and unsupervised learning in remote sensing and their applications in GIS
Learn how to obtain satellite data, apply image preprocessing, create training and validation data in QGIS
Apply Machine Learning Remote Sensing based image classification in SCP and QGIS
Apply change detection in QGIS
Create your first LULC map based on satellite imagery for your report in QGIS
You'll also have plenty of handy hints and tips that will be provided alongside the scripts for GIS & Remote Sensing analysis
You'll have a copy of the practicals step-by-step manuals used in the course for your reference

Do you need to design a land use/land cover map for your project but you don’t know how to do this?

Do you find GIS books & manuals too not practical and looking for a course that takes you by hand, teach you all the concepts, and get you started on a real-life LULC mapping project?

I’m very excited that you found my QGIS and Core Remote Sensing course. My course provides you with all the necessary knowledge and skills to implement PRACTICAL, real-life spatial Remote Sensing-based LULC mapping and change detection tasks in popular and FREE GIS software tools, which is QGIS. Unlike other courses on Udemy, my course is performed with the new QGIS version which is very important for your analysis.

This 4.5-hour course is designed to guide you through and equip you with the theoretical and practical knowledge of in QGIS (LULC) mapping, which is one of the core skills for any Geographic Information Systems (GIS) and Remote Sensing analyst. By the end of the course, you will feel confident and completely understand all theoretical and PRACTICAL background of LULC mapping and Change Detection in GIS and Remote Sensing that you will be able to carry out on the real data in one of the most popular GIS & Remote Sensing software which is QGIS.

In the course, you will be able to learn how to carry out all stages of LULC mapping from acquiring Remote Sensing (satellite) data to assessing the accuracy of your map and design a beautiful change map in QGIS readily available to be inserted in your document or report.

The course is ideal for professionals such as geographers, programmers, social scientists, geologists, Remote Sensing and GIS experts, and all other experts who need to use LULC maps in their field and would like to learn the fundamentals of LULC and change detection in GIS. If you’re planning to undertake a task that requires to use a state of the art classification algorithms in GIS & Remote Sensing for creating, for instance, land cover and land use maps, this course will give you the confidence you need to understand and solve such geospatial problem.

One important part of the course is the practical exercises in QGIS. You will be given some precise instructions and datasets to create LULC maps and change maps using the QGIS software.

In this course, I include downloadable practical materials that will teach you:

– How to install open source Remote Sensing & GIS software QGIS on your computer and correctly configure it

– QGIS software interface including its main components and plug-ins

– Learn how to classify Remote Sensing (satellite) images with different machine learning algorithms in QGIS

– Learn how to perform training, validation data collection, and accuracy assessment in QGIS

– Learn how to perform change detection with the Semi-automated classification plug-in in QGIS

– Learn how to prepare your first land cover change map for your report in QGIS


About open-source QGIS software
Lab 1: QGIS installation
Semi-Automatic Classification Plugin for QGIS

Basics of Remote Sensing for LULC mapping

Introduction to digital image
Sensors and Platforms
Understanding Remote Sensing for LULC mapping
How to download satellite images with SCP plug-in
How to work with the Remote Sensing images: preprocessing
Lab 2: Layerstacking, True and False Colour composites
Lab 3: Image preprocessing - atmospheric correction
Sources of Remote Sensing images for LULC mapping

Land use / land cover (LULC) classification: overview

Introduction to LULC classification based on satellite images
Supervised and unsupervised image classification
Stages of LULC supervised classification
Lab: Training data collection
Overview of image classification algorrithms
Lab: LULC with the use of spectral angle mapping
Lab: LULC with the use of Maximum Likelihood Algorithm
Accuracy assessment of LULC map
Lab: Validation data creation
Lab: Accuracy Assessment
Project: LULC mapping of Landsat 8

Introduction to change detection

Introduction to change detection
Lab: Change Detection in QGIS
Lab: How to make a map in QGIS

Final Project

Final Project Description
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.3 out of 5
44 Ratings

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4 hours on-demand video
1 article
Certificate of Completion


AulaGEO is a Ge-engineering specialized academy.

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