4.30 (48 reviews)
☑ Acquire a thorough understanding of satellite remote sensing principles
☑ Learn how to apply satellite remote sensing principles in practice
☑ Learn the most popular open-source GIS and Remote Sensing software tools (QGIS) and Semi-automated classification (SCP) plugin
☑ Create your first GIS maps for your reports/presentations in QGIS
☑ Learn how to obtain satellite data, apply Remote Sensing image preprocessing, create training and validation data in QGIS
☑ Learn abouit open source Remote Sensing software tools and data portals
☑ Apply Land use and Land Cover (LULC) Mapping and Change Detection in QGIS
☑ Learn how to plan and practise to implement your first geospatial project based on Remote Sensing data
☑ You'll have a copy of the practicals step-by-step manuals used in the course for your reference to use for your Remote Sensing analysis in QGIS
☑ You'll also have plenty of handy hints and tips during this course for QGIS and Remote Sensing analysis
Remote Sensing & Satellite Image Analyses in QGIS for Beginners
Do you need to use satellite Remote Sensing in your work but don't know how to apply Remote Sensing analysis?
Do you find Remote Sensing books & manuals too not practical and looking for a course that takes you by hand, teach you all the concepts, and get you started on a real-life Remote Sensing analysis project?
I'm very excited that you have found my Fundamentals of applied Satellite Remote Sensing in the QGIS course. My course provides you with all the necessary theoretical knowledge and practical skills to implement PRACTICAL, Remote Sensing analysis starting with the basics concepts of Remote Sensing and equipping you with all necessary knowledge and skills to implement your own independent Remote Sensing analysis Project in great QGIS open-source software! I will also demonstrate to you how to implement Remote Sensing analyses in the latest version of open-source software QGIS, thus that you could immediately start using satellite images for your work and Remote Sensing projects.
This fundamental 4-hour course is designed to equip you with the theoretical and practical knowledge of applied Remote Sensing analysis. By the end of the course, you will feel confident and completely understand the basics of Remote Sensing and its main components, learn how to install QGIS and work with QGIS and Semi-Automatic Classification Plug-in. You will learn all basics of working with satellite imagery and planning your Remote Sensing project. We will learn in QGIS how to perform image preprocessing, calculate spectral indices, conduct land use and land cover classifications with Machine Learning algorithms, calculate change, and produce GIS maps for your reports and much more. At the end of the course, you will conduct the independent Remote Sensing project-based assignment that will allow you to train your newly acquired geospatial skills!
In this course, I will teach you how to work with the popular open-source QGIS software and its great tool, a Semi-Automated classification for Remote Sensing based analysis.
The course is ideal for professionals such as geographers, programmers, social scientists, geologists, GIS & Remote Sensing, and all other experts who need to use maps in their field and would like to learn more about geospatial analysis and satellite Remote Sensing in QGIS.
One important part of the course is the practical exercises. You will be given some precise instructions, downloadable practical materials, scripts, and datasets to create maps and conduct geospatial analysis using the QGIS software.
Introduction to the course
QGIS - Software used in this course
Lab 1: QGIS installation
Understanding Satellite Remote Sensing
Understanding remote sensing images: real life example
Definition of Remote Sensing
Short history of Remote Sensing
Quiz 1: Introduction to Remote Sensing
Remote Sensing System
Lab 2: Getting started with QGIS and how to load images in QGIS
Electromagnetic Waves and Spectral Signatures
Types of Imaging Sensors
Types of Remote Sensing Platforms
Quiz: Remote Sensing System
Introduction to Sattellite Images and their Characteristics
What is Remote Sensing Image?
Lab: Download satellite image with the Semi-Automatic Classification Plugin
Resolution types of Satellite Image
Landsat sensors & data
Lab: Colour Disaply (Image Composites) of satellite images
Sentinel sensors & data
How to plan applied Remote Sensing Analysis Workflow for a certain application?
Planning Satellite Image Analysis Workflow
Key satellite image definitions in Remote Sensing
Atmospheric Correction of Satellite images
Lab: Atmospheric Correction of Landsat Image
Geometric Correction of Satellite images
Image Enhancement to improve image dispaly
Lab: Image Enhancement
Spectral Indices and Biophysical Parameters of Vegetation
Introduction to spectral indices & biophysical parameters retrieved from images
Lab: Computation of the vegetation index with Landsat TM data
Lab: Calculation of Calculating the Normalized Burn Ratio (NBR) with Sentinel-2
Lab: Land cover assessment based on image thresholding
Making a map for a report / presentation
Lab: Basics of change detection - image differencing
Satellite Image Classification
Basics of Satellite Image Classification
Lab: Land Use and Land Cover classification with Landsat TM data
Lab: Accuracy Assessment of LULC map
Conducting an Applied Remote Sensing Project
Burn Severity: Background
Final Project Task Overview
Am an ENVI & ERDAS long-time user. They never actually show you how to download and load their programs - so this was very helpful for people not used to big downloads.
This course is just wonderful, lab exercises with clear explanation has made this course really deserving for any new gis enthusiac to join this course
This Remote Sensing course is very elaborated and the teacher guide students step by step in doing exercises in QGIS as well as provides an excellent theoretical background.
This is a great match for me. I'm always keen to learn more about remote sensing and this course on fundamentals of Remote Sensing in QGIS was well-developed and detailed.
Great introductory course for satellite Remote Sensing image analysis - very clear explanations and lots of practical assignments. Thanks you, Kate, I learnt a lot!