QGIS & Google Earth Engine for Environmental Applications

🌱 Course Title: QGIS & Google Earth Engine for Environmental Applications

🎓 Headline: Conduct Applied Spatial Analysis (Remote Sensing & GIS) for Environmental Applications in QGIS & Google Earth Engine

Mastering Environmental Geospatial Analysis with QGIS & Google Earth Engine

Welcome to this transformative course that will elevate your geospatial analysis skills, particularly within the realm of environmental and land applications using QGIS and Google Earth Engine. This course is meticulously designed for those who possess a foundational knowledge of geospatial data, GIS, and Remote Sensing. It's time to advance your skills and perform complex environmental analyses with the power of Big Data and cloud computing at your fingertips.

Course Highlights:

• Advanced Environmental Analysis: Learn to monitor land degradation, map floods, track land cover change, and assess land productivity through a combination of QGIS and Google Earth Engine's capabilities.
• Big Data & Cloud Computing: Get introduced to user-friendly cloud computing via EO-browser, ensuring you can handle large datasets efficiently.
• SDG Indicators: Utilize the TrendsEarth plugin in QGIS to compute Sustainable Development Goals (SDG) indicators.
• Hands-On Learning: Engage with practical exercises, detailed instructions, and real-world datasets to apply your knowledge effectively.

What You Will Learn:

This course is a deep dive into applied geospatial analysis, focusing on the intersection of Remote Sensing and GIS within an environmental context. By the end of this course, you will:

• 🛰️ Understand Remote Sensing with Open Source Tools: Gain foundational principles of Remote Sensing and apply them using QGIS and Google Earth Engine.
• 🚀 Master JavaScript Basics: Learn the essentials of JavaScript for geospatial analysis within the Earth Engine cloud platform.
• 🗺️ Become Proficient with Open Source GIS Software: Work fluently with QGIS, Google Earth Engine, Trends. Earth, and the Semi-Automated Classification Plugin (SCP).
• 🌍 Conduct Environmental Applications: Perform geospatial analyses for various environmental applications, including monitoring and mapping techniques.

Course Objectives:

Upon completion of this course, you will have the confidence to:

• 🧬 Master Remote Sensing and JavaScript: Command a solid understanding of these critical skills for spatial analysis.
• ☁️ Implement Practical Environmental Applications on Google Earth Engine: Utilize Big Data capabilities for environmental analysis.
• 🎫 Execute Geospatial Analyses in QGIS with Trends.Earth: Enhance your analyses using the power of open-source plugins.
• 🚀 Compete with Open Source Software Tools: Apply your skills using free and accessible tools to conduct geospatial analysis.

Practical Hands-On Experience:

This course includes practical exercises that will guide you through advanced geospatial analysis using Google Earth Engine. You'll receive precise instructions, codes, and datasets tailored to help you master the tools and techniques covered in this course.

Course Inclusions:

• Access to all course materials, including scripts, data, and future resources.
• A comprehensive learning experience that combines theoretical knowledge with practical application.
• A community of peers and experts to engage with throughout your learning journey.

Join us on this transformative journey today and unlock the full potential of environmental geospatial analysis with QGIS and Google Earth Engine! 🌟