About “Remote Sensing with QGIS”
“Remote Sensing with QGIS” is designed to teach students how to apply a variety of remote sensing analyses and procedures with QGIS. Starting with satellite images from the Sentinel2 and Landsat9 sensors, students will learn to display spectral bands as true color and false color composites, calculate spectral indices, perform supervised and unsupervised classification, and assess classification accuracy. By the end of this course, you will have experience finding and downloading satellite images, displaying satellite images, and performing multiple advanced remote sensing techniques to produce land cover maps.
Who Should Take This Course
This course is designed for students that are comfortable with the basics of QGIS and want to expand their skill set to include remote sensing.
What You Will Learn
- To find and download satellite imagery
- Display satellite imagery in true color and false-color composites
- Calculate a variety of spectral indices (NDVI, NDWI, etc.)
- Perform multiple unsupervised classifications of satellite imagery
- Perform multiple supervised classifications of satellite imagery
- Conduct accuracy assessments for classified images
The prerequisites for this course are minimal. You need a basic, solid understanding of QGIS to follow along with the exercises and an internet connection to watch the videos and download course resources. You will benefit from a basic, conceptual understanding of remote sensing and satellite imagery.
- Basic knowledge of remote sensing
- Intermediate-level skills with QGIS
- Basic skills with Microsoft Excel or similar spreadsheet software
Software and Materials
- QGIS (free)
- Microsoft Excel (optional)
- Satellite imagery from Sentinel2 and Landsat 9 (can be downloaded in the course materials)
- An internet connection
- QGIS for Beginners – if you’re not familiar with QGIS this course will teach you the basics you need to know to start performing GIS analysis.