Advanced Remote Sensing Analysis in QGIS & Open Cloud Tools

Advanced Remote Sensing Analysis in QGIS & Open Cloud Tools

Advanced spatial analysis (Remote Sensing, GIS) in QGIS, EO browsers, AppEARS and other online and cloud tools

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform advanced geospatial analysis focused on change detection techniques (data differencing, post-classification comparison and time series analysis) with Big Data using both QGIS capabilities and online cloud computing platforms (such as EO browser and others)! The course will also focus on introducing you to applications for change detection techniques in GIS software tools and on the cloud. I will also introduce you to user-intuitive cloud computing using EO-browser and AppEARS cloud computing tools.

This course targets intermediate to advanced levels, so the students are advised to complete the course on fundamentals of Remote Sensing before taking this course.

This course provides you with all the necessary knowledge to advance your skills with Geospatial analysis and includes several hours of video content, plenty of practical analysis, and downloadable materials. After taking this course, you will be able to implement ADVANCED and PRACTICAL, real-life spatial geospatial analysis for different applications, and tasks with the Big Data on the cloud and in QGIS.

This course is designed to equip you with the theoretical and practical knowledge of applied advanced geospatial analysis, namely Remote Sensing and some Geographic Information Systems (GIS). This course emphasizes the importance of understanding:

- Learn work with open source GIS software and online cloud computing tools (QGIS, Trends. Earth, Semi-Automated classification Plugin, EO browsers, AppEARS data portal etc)

- Understand the fundamentals of change detection techniques

- Apply advanced image analysis techniques to the real-world data

- Working with open-source GIS software & tools

- Learning how to conduct GIS / Remote Sensing analysis for environmental applications

By the end of the course, you will feel confident and completely understand the advanced geospatial analysis in QGIS and on the cloud. You will learn to implement practical advanced applications in open-source GIS software and cloud computing tools. This course will also prepare you for using geospatial analysis with open-source and free software tools.

One important part of the course is the practical exercises. You will be given some precise instructions, codes, and datasets to create for geospatial analysis.

INCLUDED IN THE COURSE: You will have access to all the data used in the course, along with the scripts. You will also have access to future resources. Enrol in the course today & take advantage of these special materials!

Advanced spatial analysis in QGIS & using cloud computing tools: change detection, time series analysis, trends & more

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What you will learn

• Understand fundamentals of change detection techniques
• Apply advanced image analysis techniques to the real-world data
• Working with the open-source GIS software & tools

Rating: 4.5

Level: Intermediate Level

Duration: 3 hours

Instructor: Kate Alison