Description
What you’ll learn
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Understand and implement basic concepts of Geographic Information Systems (GIS) and Remote Sensing
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Fully understand the basics of Land use and Land Cover (LULC) Mapping and Change Detection in QGIS
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Learn the most popular open-source GIS and Remote Sensing software tools (QGIS), Semi-automated classification (SCP) plugin, OTB toolbox)
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Learn how to obtain satellite data, apply image preprocessing, create training and validation data in QGIS
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Create your first GIS maps for your reports/presentations in QGIS
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Understand machine learning concepts and its application in GIS and Remote Sensing
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Apply Machine Learning image classification mapping and change detection in SCP, OTB toolbox and QGIS
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Fully understand and apply advanced methods in machine learning in GIS and Remote Sensing, such as random forest classification and object-based image analysis,
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You’ll have a copy of the labs, step-by-step manuals and scripts used in the course for QGIS & more
Who this course is for:
- Geographers, Programmers, geologists, biologists, social scientists, or everyone who deals with GIS maps in their field or would like to learn GIS and Remote Sensing
Requirements:
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A working computer
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An interest in working with spatial data
The course will be demonstrated using a QGIS version of Windows PC. Mac and Linux users will have to adapt the instructions to their operating systems.
This course includes:
- 9 hours on-demand video
- 2 articles
- 27 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
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