Advanced Remote Sensing Analysis in QGIS & Open Cloud Tools

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

Ratings 4.39 / 5.00

Advanced Remote Sensing Analysis in QGIS & Open Cloud Tools

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
Learning how to conduct GIS / Remote Sensing analysis for environmental applications
You'll have a copy of the codes used in the course for your reference
Complete your independent analysis using geospatial approaches in QGIS and cloud computing tools
Students will gain access to and a thorough knowledge of the QGIS and cloud computing platforms
Implement drough monitoring, vegetation trend analysis, extraction of pixel values from time series data, detection of fire severity, change detection etc

Description

Mastering Advanced Spatial Analysis: A Deep Dive into Remote Sensing and GIS in QGIS, EO Browsers, AppEARS, and More

Unlock the boundless potential of advanced geospatial analysis with this comprehensive course on Remote Sensing, GIS, and Big Data techniques in QGIS, EO browsers, AppEARS, and various online cloud tools.

Course Highlights:

This course is meticulously designed to guide individuals with a foundational understanding of GIS through an intensive journey of advanced geospatial analysis. Our focus lies on sophisticated change detection techniques, including data differencing, post-classification comparison, and time series analysis. These powerful tools will empower you to harness the potential of Big Data, both within the robust QGIS framework and across online cloud computing platforms like EO browser and others.

Additionally, this course will introduce you to user-friendly cloud computing, leveraging EO-browser and AppEARS cloud computing tools, ensuring you are well-equipped to navigate these revolutionary technologies.

Course Prerequisites:

As this course targets intermediate to advanced levels, we recommend that students complete a fundamental course on Remote Sensing before embarking on this advanced journey.

Course Objectives:

Upon completing this course, you will possess the knowledge and skills needed to:

Work proficiently with open-source GIS software and online cloud computing tools, including QGIS, Trends Earth, Semi-Automated Classification Plugin, EO browsers, AppEARS data portal, and more.
Comprehend the fundamentals of change detection techniques and apply them effectively in real-world scenarios.
Employ advanced image analysis techniques to tackle complex data.
Master the intricacies of open-source GIS software and tools.
Conduct comprehensive GIS and Remote Sensing analyses, particularly for environmental applications.

What You Will Achieve:

By the course's conclusion, you will be well-versed in advanced geospatial analysis within QGIS and the cloud. You will have the competence to execute practical, advanced applications using open-source GIS software and cloud computing tools. This course will also prepare you for a world of geospatial analysis possibilities, all within the realm of open-source and free software tools.

Practical Hands-On Experience:

Integral to this course are the hands-on exercises. You will receive precise instructions, codes, and datasets that will empower you to conduct advanced geospatial analysis with confidence.

Course Inclusions:

Enroll today to gain access to all course data, scripts, and future resources. Seize this opportunity to delve into the world of advanced spatial analysis and propel your expertise to new heights. Join us on this transformative journey and become a master of advanced geospatial analysis!