**Mastering Geospatial Analysis for Sustainable Development**This comprehensive course is meticulously crafted for individuals who wish to harness the power of GIS, Remote Sensing, and cloud computing to perform **land degradation assessment** and monitor **Sustainable Development Goals (SDGs) Indicator 15.3**, specifically focusing on the 'Proportion of Degraded Land.' Join us on this transformative journey that blends theoretical insights with hands-on practicality, all within the realm of QGIS.*Key Highlights:***Harness the Power of Big Data in the Cloud**This course empowers you to leverage Big Data in the cloud through QGIS. It's tailor-made for individuals with a basic understanding of GIS, geospatial data, and Remote Sensing, aiming to advance their skills for real-world applications related to land degradation assessment. **SDGs Indicator Computation with TrendsEarth**You'll delve into the realm of Sustainable Development Goals (SDGs) indicators computation using the TrendsEarth plugin in QGIS. This crucial knowledge enables you to contribute to vital global sustainability goals. **Intuitive Cloud Computing with EO-browser**Learn to navigate user-friendly cloud computing with EO-browser ensuring you can efficiently access and process geospatial data for your projects.*What You'll Gain:*This course equips you with both theoretical and practical knowledge in applied geospatial analysis, with a strong emphasis on Remote Sensing and Geographic Information Systems (GIS). You'll master:- The foundations of Remote Sensing using open-source tools (QGIS)- Working proficiency with open-source GIS software and tools (QGIS, Google Earth Engine, TrendsEarth Plugin)- The art of conducting GIS and Remote Sensing analysis for monitoring SDGs Indicators and environmental app
What you'll learn
foundations of remote sensing using open-source tools
working proficiency with QGIS, Google Earth Engine, and TrendsEarth plugin
conducting GIS and remote sensing analysis for monitoring SDGs indicators