Advanced Remote Sensing Analysis in Open Cloud Tools & QGIS

What you'll 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 and many other applications
Requirements
The students should complete course on fundamentals of Remote Sensing
Description
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 targeting intermediate to advance level, 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 working with open source GIS software and online cloud computing tools (QGIS, Trends. Earth, Semi-Automated classification Plugin, EO browsers, AppEARS data portal etc)
- 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
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 the 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!
Who this course is for
Everyone who deals with GIS maps and spatial data analysis in their field
Homepage
https://www.udemy.com/course/advance-remote-sensing-analysis-in-open-gis-tools-qgis-etc/