QGIS for Land Degradation Assessment & SDG monitoring in GIS

Conduct Remote Sensing & GIS for Land Degradation Assessment & Sustainable Development Goals (SDGs) Indicators

**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 applications, including land degradation monitoring

Upon completion of the course, you'll not only have a deep understanding of Remote Sensing for spatial analysis in QGIS but also the ability to implement practical environmental applications with Big Data using the TrendsEarth plugin. This course paves the way for you to excel in geospatial analysis using open-source and free software tools.

*Course Inclusions:*

We provide you with access to all the data and scripts used throughout the course, ensuring you have the resources needed to further hone your geospatial skills. Plus, you'll gain access to future resources to stay ahead in the field.

Don't miss this opportunity to become a proficient geospatial analyst, making a meaningful contribution to sustainable development. Enroll today and unlock the door to a world of possibilities in geospatial analysis!