Become Expert in advanced Remote Sensing and GIS pixel- and object-based image analysis in Google Earth Engine & QGIS
Sub Category
- Other IT & Software
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Objectives
- Fully understand advanced methods of Land use and Land Cover (LULC) Mapping in QGIS and Google Earth Engine
- Learn how to perform such advanced methods as object based image analysis (OBIA) and object-based classification using real-world data in QGIS
- Further advanced your skills in the most popular open-source GIS and Remote Sensing software tools (QGIS)
- Learn how to obtain satellite data, apply image pre-processing, create training and validation data for OBIA in QGIS and Google Earth Engine
- Apply advanced Machine Learning image classification algorithms
- Create and download LULC maps for your report
- Explore the power of Google Earth Engine for image analysis
- You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
- You'll have a copy of the labs’ step-by-step manuals used in the course for your reference to use in your analysis.
Pre Requisites
- A vivid interest in working with geospatial data
- Basic knowledge of manipulating spatial (image) data using QGIS
- A working computer with internet connection
- 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.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. 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!
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