Core GIS : Land Use Land Cover & Change Detection in QGIS
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- Curriculum
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Do you need to design a land use/land cover map for your project but you donāt 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
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5Introduction to digital image
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6Sensors and Platforms
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7Understanding Remote Sensing for LULC mapping
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8How to download satellite images with SCP plug-in
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9How to work with the Remote Sensing images: preprocessing
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10Lab 2: Layerstacking, True and False Colour composites
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11Lab 3: Image preprocessing - atmospheric correction
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12Sources of Remote Sensing images for LULC mapping
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13Introduction to LULC classification based on satellite images
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14Supervised and unsupervised image classification
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15Stages of LULC supervised classification
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16Lab: Training data collection
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17Overview of image classification algorrithms
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18Lab: LULC with the use of spectral angle mapping
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19Lab: LULC with the use of Maximum Likelihood Algorithm
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20Accuracy assessment of LULC map
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21Lab: Validation data creation
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22Lab: Accuracy Assessment
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23Project: LULC mapping of Landsat 8
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