What you'll learn:
- Students will gain access to and a thorough knowledge of the QGIS, TrendsEarth and Google Earth Engine platform
- To apply a range of environmental & time series analysis in QGIS and Earth Engine
- Implement land degradation mapping, flood monitoring, land cover analyis and more on the cloud
- Get introduced and advance JavaScript skills on Google Earth Engine platform
- Learn basics of Remote Sensing and how to apply Remote Sensing analysis in open-source tools
- You'll have a copy of the codes used in the course for your reference
- Complete your independent environmental application project using geospatial approaches in QGIS and Google Earth Engine
This course provides a complete, practical introduction to environmental geospatial analysis using QGIS, Google Earth Engine (GEE), and open-source Remote Sensing tools. It is designed for learners with basic GIS or Remote Sensing knowledge who want to develop advanced skills for environmental applications using cloud computing and Big Data.
You will learn how to analyze land degradation, monitor land cover change, map floods, assess land productivity, and perform other key environmental Remote Sensing workflows using QGIS and GEE. The course also introduces SDG-related environmental indicators using the TrendsEarth plug-in and cloud-based analysis through EO Browser.
Course Highlights
This course blends theoretical concepts with real-world environmental applications. You will work directly with satellite imagery, geospatial datasets, QGIS tools, and Google Earth Engine JavaScript code to perform modern spatial analysis at scale. You will also learn how cloud computing supports large-scale environmental monitoring and decision-making.
What You Will Learn
• Foundational Remote Sensing concepts using open-source tools
• Basics of JavaScript for geospatial analysis on Google Earth Engine
• Working with QGIS, Google Earth Engine, TrendsEarth, and the Semi-Automated Classification Plugin
• Land degradation monitoring and land productivity assessment
• Flood mapping and change detection workflows
• Land cover and land cover change analysis using satellite imagery
• Computation of SDG environmental indicators with TrendsEarth
• Practical cloud-based environmental Remote Sensing using EO Browser
• Integration of QGIS and GEE for applied environmental analysis
Course Objectives
By the end of the course, you will be able to:
• Understand and apply Remote Sensing and JavaScript basics for cloud-based spatial analysis
• Implement environmental applications on Google Earth Engine using Big Data
• Perform environmental GIS and Remote Sensing workflows in QGIS
• Use TrendsEarth in QGIS to compute land degradation and SDG indicators
• Build complete environmental analysis workflows using open-source geospatial tools
• Confidently apply geospatial methods to real environmental case studies
Practical Hands-On Experience
The course includes fully guided exercises with clear instructions, sample code, and downloadable datasets. You will perform your own environmental analyses directly in Google Earth Engine and QGIS, allowing you to build strong, practical skills for research and professional work.
Course Inclusions
Upon enrollment, you gain access to all datasets, scripts, and future resources. This course provides the tools, skills, and confidence to perform advanced environmental geospatial analysis using QGIS and Google Earth Engine.
