
In this lecture, you will learn the main objectives of the course, its goals, the coarse structure and what topics are going to be covered in the course on Basics of GIS with Open source tools.
In this lecture, you will learn the variety of GIS applications in different economic sectors and academia.
In this lecture, you will learn the variety of Remote Sensing applications in different economic sectors and academia.
In this lecture, you will learn how to define GIS and its main components.
In this lecture, you will learn the main components, stages and principles of GIS. You will learn how to apply those principles to plan your first GIS projects.
In this lecture, you will learn how to define Remote Sensing and its main components.
In this course, you will learn how to how to set up a GIS on your computer, specifically what you will need to run GIS analysis on your personal computer. We will also talk about software tools available for the GIS analysis. In the practical section of the course, you will learn how to correctly install and set up QGIS on your computer to get ready for GIS analysis
In this video, I will show you how to install QGIS on your computer.
In this video, I will show you how to install and manage QGIS plug-ins.
In this video, I will show you step-by-step how to do your first GIS map in QGIS. With the data provided by me, you can also practice and repeat all the steps by yourself.
In this section, we will talk about software tools available for the Remote Sensing analysis.
In this lecture, we are going to learn about data that is used for GIS analysis, or Geodata. We are also going to talk about 2 main types of geodata, which is vector and raster data types.
Today we are going to learn where you can download freely available Geodata for your first GIS projects.
BONUS: Machine Learning on Google Earth Engine Cloud: a hands-on exercise.
In this video lecture, you will learn how to do in quite a straightforward step-by-step procedure land cover map for any area in the world using state-of-the-art machine learning algorithms using cloud platform Google Earth Engine.
Introduction to GIS and Remote Sensing for Spatial Analysis
Are you curious about Geographic Information Systems (GIS) and Remote Sensing but unsure how to begin? This beginner-friendly course provides a clear and practical introduction to the fundamentals of GIS and satellite-based spatial analysis. Using free and open-source tools such as QGIS and Google Earth Engine, you will learn where to find geospatial data, how to install GIS software, and how to create your first maps.
This course focuses on real-world applications rather than overwhelming theory, giving you the confidence to start working with geospatial technologies immediately.
Course Highlights
• Introduction to GIS concepts and Remote Sensing fundamentals
• Free and open-source GIS tools and spatial data portals
• Understanding GIS components, workflows, and use cases
• Desktop requirements for GIS and Remote Sensing work
• Exploration of geodata types and industries that use GIS
• Step-by-step demonstration of land use/land cover mapping in Google Earth Engine
• Downloadable datasets and practical materials
Course Overview
This course serves as a clear entry point into the world of GIS and Remote Sensing. You will gain a fast yet solid understanding of essential concepts and learn how to obtain both GIS software and geospatial data for your projects. By the end of the course, you will know how to create basic maps, analyze spatial data, and use cloud-based tools for environmental analysis.
What You Will Learn
• Core concepts of GIS and Remote Sensing
• Free and open data sources for spatial analysis
• Installation and setup of open-source GIS software
• Navigating the QGIS interface, components, and plug-ins
• Creating your first GIS map with open datasets in QGIS
• Producing a land use/land cover map using Google Earth Engine
• Understanding practical applications across multiple sectors
Who Should Enroll
This course is ideal for beginners from all fields including agriculture, environmental sciences, geology, mining, hydrology, forestry, geography, social sciences, and more. Whether you are exploring geospatial technologies for the first time or expanding your foundational knowledge, this course provides a strong starting point.
Bonus Content
A bonus lecture includes a step-by-step video tutorial demonstrating how to create a land use/land cover map using Google Earth Engine and Machine Learning techniques—even if you have no prior experience.
Included in the Course
• Downloadable practical materials
• Step-by-step instructions for hands-on exercises
• Guidance on acquiring GIS software and geospatial datasets
Enroll today and begin your journey into GIS and Remote Sensing with practical tools and clear guidance.