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Advanced Land Use/Land Cover Mapping with Machine Learning
Are you looking to advance your geospatial analysis skills using QGIS? Want to master object-based image analysis and harness the power of Machine Learning algorithms for Land Use and Land Cover (LULC) mapping? This course is designed to take QGIS users from basic geospatial analysis to performing advanced tasks with confidence. Explore object-based image analysis with various data sources and cutting-edge Machine Learning algorithms. Dive into LULC mapping, change detection, and object-based crop type mapping using QGIS and Google Earth Engine.
Course Highlights:
Advanced geospatial analysis using QGIS
Object-based image analysis
Machine Learning algorithms for LULC mapping
Practical exercises with QGIS and Google Earth Engine
Installation and configuration of open-source GIS software
Supervised and unsupervised Machine Learning
Accuracy assessment for geospatial projects
Course Focus:
This advanced course is designed to equip you with practical knowledge in advanced Land Use and Land Cover (LULC) mapping and object-based image analysis. Gain confidence in using Machine Learning algorithms for geospatial tasks and leverage the capabilities of QGIS and Google Earth Engine. Whether you're a geographer, programmer, social scientist, or geologist, this course will enhance your GIS and Remote Sensing skills.
What You'll Learn:
Installing and configuring open-source GIS software (QGIS and Orfeo Toolbox)
Navigating the QGIS software interface, including its main components and plug-ins
Classifying satellite images with different Machine Learning algorithms in QGIS
Collecting training and validation data and performing accuracy assessments
Object-based image analysis and object-based crop type mapping in QGIS
Running supervised and unsupervised Machine Learning Algorithms in Google Earth Engine
Who Should Enroll:
This course is ideal for professionals seeking to advance their geospatial analysis skills, including geographers, programmers, social scientists, geologists, and anyone needing to use LULC maps in their field. Whether you're planning to create land cover and land use maps, tackle geospatial challenges, or explore the cutting-edge LULC techniques, this course provides the skills and confidence you need.
INCLUDED IN THE COURSE: Gain access to all course materials, including data, Java code files, and future resources. Enroll today to take your geospatial analysis to the next level!
Everything You Need to Know About Machine Learning in GIS : Land Use Land Cover Image Analysis
This course is a comprehensive and well-structured introduction to Machine Learning in GIS : Land Use Land Cover Image Analysis. The instructor, Kate Alison, is a leading expert in the field with a wealth of experience in IT & Software to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Other IT & Software. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Machine Learning in GIS : Land Use Land Cover Image Analysis. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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