4.40 (57 reviews)
☑ 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
La profesora es excelente!! Es importante valorar el esfuerzo, hay que tomar muchas horas y días para crear las diapositivas, los videos etc, requiere un gran esfuerzo, por lo que felicito a la profesora por su dedicación al enseñar. Excelente capacitación
Dear Kate, Many thanks for nice course that met all my expectations. Only one thing was missing for me was that how to perform classification in any limited part of the images. You know, most cases any given study area is presented with curve shaped borders, therefore it is often needed to perform the classification in a certain part of the image, not entire image. Your speech was quite understandable and the quality of video records was fair.
Een goede introductie tot het gebruik van de QGIS-plugin Semi-Automatic Classification. Ook tijdens de uitleg van de theorie is het tempo goed. Wat vaststaat is dat ik met 4,5 uur zelfstudie een fractie van de opgedane kennis over de omvangrijke plugin zou hebben opgedaan.
This course is ok. The teacher is clearly knowledgeable, but I was not impressed with the editing, where many speaking mistakes are not eliminated (lots of confusion sounds, repeated sentences, even sentences that do not make much sense sometimes). Confused noises paired with inaccurate captions make technical terms difficult to understand. It took me way longer than 4.5 hours to complete this course because I had to replay the videos many times to be able to take notes.
Yes! I've been using GIS for some time, but never for LCLU. Super excited to brief on basics and learn more!
Mais detalhes sobre cada passo proposto seria interessante, ainda que de forma resumida, mais englobando todo processo, do primeiro ao ultimo passo.
Great! I must say, I have no prior knowledge in LULC but here I am feeling confident. She blended the Theories of remote sensing and examples of the applications quite well which helps in understanding the practicals. Highly recommended for beginners. Though some of the files are currently wrongly placed, I believe this can be corrected.
This course is created by a distinguished lecturer (Ms. Kate Alison), who has rich expertise in remote sensing, and in teaching excellent courses as well. This course introduces the fundamental theoretical information related to remote sensing basics, remote sensing systems, sensors, digital images, image classification algorithms, land cover/ land-use changes. On the other side, the trainee will get vital information and generous opportunities to build and increase his/her practical skills in remote sensing techniques using the QGIS software. Actually, and honestly, I found this course is essential to students of remote sensing, GIS, environmental sciences & engineering, and to whom they are interested in remote sensing. This course is indispensable for those who work or looking forward to improving their skills in LCLU and change detection. Thanks a lot to Ms. Kate Alison for her valuable efforts in introducing such an excellent course.