Descriptions
Machine learning in spatial analysis: GIS and remote sensing. Do you want to harness the power of machine learning for geospatial analysis, but don’t know where to start? Welcome to our course designed to provide you with theoretical and practical knowledge of machine learning applied to the fields of Geographic Information Systems (GIS) and Remote Sensing. If you are interested in land use and land cover mapping, classification, or object-oriented image analysis, this course will help you. This comprehensive course delves into the field of machine learning in geospatial analysis, offering a combination of theory and practical application. By the end of the course, you will have the knowledge and confidence to use machine learning to solve a wide range of geospatial problems. This course is intended for a diverse audience, including geographers, computer scientists, social scientists, geologists, and all professionals who use maps in their fields. If you expect to perform tasks that require the use of advanced machine learning algorithms for problems such as land cover and land use mapping, this course will give you the skills to solve such geospatial problems.
What will you learn
- Fully understand the fundamentals of machine learning
- Gain an understanding of geographic information systems (GIS), geodata types, and GIS applications.
- Completely understand the basics of remote sensing.
- Explore open source GIS and remote sensing software tools (QGIS, Google Earth Engine, and others).
- Completely understand the main types of machine learning and their applications in GIS.
- Learn about supervised and unsupervised learning and their applications in GIS.
- Learn how to apply supervised and unsupervised machine learning algorithms in QGIS and Google Earth Engine.
- Understand segmentation, object-oriented image analysis (OBIA), and predictive modeling in GIS.
- Learn how to perform image segmentation using Orfeo Toolbox.
- Understand the major developments in artificial intelligence, deep learning, and machine learning as they apply to GIS.
Who is this course for?
- Geographers, programmers, geologists, biologists, sociologists or any other expert who deals with GIS maps in their field.
Features of machine learning in spatial analysis: GIS and remote sensing
- Publisher: Udemy
- Teacher: Kate Alison
- English language
- Level: All levels
- Number of courses: 31
- Duration: 5 hours 4 minutes.
Content for 2023-11
Requirements
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
file size
2.65 GB