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
Mastering Environmental Geospatial Analysis with QGIS & Google Earth Engine
Welcome to this transformative course that will propel your geospatial analysis skills to new heights, focusing on environmental and land applications using QGIS and Google Earth Engine.
Course Highlights:
Designed to elevate users with basic geospatial data/GIS/Remote Sensing knowledge, this course empowers you to perform advanced environmental analysis. You'll tackle critical tasks such as land degradation monitoring, flood mapping, land cover change monitoring, and land productivity assessment, all with the aid of Big Data and the cloud. This dynamic journey leverages the capabilities of both QGIS and Google Earth Engine, equipping you with cutting-edge skills that will set you apart.
Moreover, this course delves into the computation of sustainable development goals (SDG) indicators using the TrendsEarth plugin in QGIS. It also introduces you to user-friendly cloud computing through EO-browser, ensuring a comprehensive learning experience.
What You Will Learn:
This course equips you with the theoretical and practical knowledge required for applied geospatial analysis, particularly in Remote Sensing and Geographic Information Systems (GIS). You will gain proficiency in:
Foundational Remote Sensing principles within open-source tools (QGIS and Google Earth Engine).
Basics of JavaScript for geospatial analysis on the Google Earth Engine cloud platform.
Working fluently with open-source GIS software and tools, including QGIS, Google Earth Engine, Trends. Earth, and the Semi-Automated Classification Plugin.
Conducting GIS and Remote Sensing analyses for various environmental applications, such as land degradation monitoring, flood mapping, land cover change monitoring, and more.
Course Objectives:
By the course's conclusion, you will possess the confidence to:
Master the basics of Remote Sensing and JavaScript for spatial analysis within QGIS and Earth Engine.
Implement practical environmental applications seamlessly on the Google Earth Engine cloud platform, utilizing Big Data.
Execute geospatial analyses efficiently in QGIS, enhanced by the Trends. Earth plugin.
Competently apply geospatial analysis with open-source and free software tools.
Practical Hands-On Experience:
Integral to this course are practical exercises. You will receive precise instructions, codes, and datasets that will empower you to conduct advanced geospatial analysis using Google Earth Engine.
Course Inclusions:
Upon enrolling, you will gain access to all course data, along with scripts and future resources. Seize this opportunity to excel in environmental geospatial analysis with QGIS and Google Earth Engine. Join us on this transformative journey today!
