QGIS for Land Degradation Assessment & SDG monitoring in GIS

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

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform land degradation assessment and monitoring Sustainable Development Goals (SDGs) Indicator 15.3 ‘Proportion of Degraded Land’ with Big Data on the cloud using QGIS! The course will also focus on introducing you to sustainable development goals (SDG) indicators computation using the TrendsEarth plugin in QGIS. I will also introduce you to user-intuitive cloud computing using EO-browser!

What you’ll learn

  • Students will learn to work in TrendsEarth in QGIS.
  • To learn how to conduct land degradation analysis in QGIS.
  • Get informed about Sustainable Development Agenda and Sustainable Development Indicators (SDGs).
  • Learn basics of Remote Sensing and how to apply Remote Sensing analysis in open-source tools.
  • Complete your independent land degradation project using geospatial approaches in QGIS.

Course Content

  • Introduction –> 2 lectures • 5min.
  • Introduction to software used in this course: QGIS –> 5 lectures • 27min.
  • Remote Sensing Crash Course –> 8 lectures • 1hr 5min.
  • Use of QGIS for Land Degradation Assessment according to SDGs requirements –> 7 lectures • 43min.
  • Project Assignment –> 2 lectures • 2min.

QGIS for Land Degradation Assessment & SDG monitoring in GIS

Requirements

  • A working computer with internet connection.
  • An interest in working with spatial data and GIS.

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform land degradation assessment and monitoring Sustainable Development Goals (SDGs) Indicator 15.3 ‘Proportion of Degraded Land’ with Big Data on the cloud using QGIS! The course will also focus on introducing you to sustainable development goals (SDG) indicators computation using the TrendsEarth plugin in QGIS. I will also introduce you to user-intuitive cloud computing using EO-browser!

This course provides you with all the necessary knowledge to start and advance your skills with Geospatial analysis and includes several hours of video content, plenty of practical analysis, and downloadable materials. After taking this course, you will be able to implement PRACTICAL, real-life spatial geospatial analysis for Land Degradation applications, and tasks with the Big Data in QGIS.

This course is designed to equip you with the theoretical and practical knowledge of applied geospatial analysis, namely Remote Sensing and some Geographic Information Systems (GIS). This course emphasizes the importance of understanding:

– Foundation of Remote Sensing in open-source tools (QGIS,)

– Working with the open-source GIS software & tools (QGIS, Google Earth Engine, Trends. Earth Plugin)

– Learning how to conduct GIS / Remote Sensing analysis for SDGs Indicator monitoring and environmental applications (such as land degradation monitoring)

By the end of the course, you will feel confident and completely understand the basics of Remote Sensing for spatial analysis in QGIS. You will learn to implement the practical environmental application with Big Data and in QGIS with Trends. Earth plugin. This course will also prepare you for using geospatial analysis with open source and free software tools.

 

INCLUDED IN THE COURSE: You will have access to all the data used in the course, along with the scripts. You will also have access to future resources. Enrol in the course today & take advantage of these special materials!