Introductory Remote Sensing

Introductory Remote Sensing

The aim of this unit is to provide an introduction to the theory and practice of using remotely sensed data for environmental mapping, monitoring and management applications. The unit incorporates lecture and practical materials, both of which are integral to gaining a thorough understanding of the art and science of remote sensing. Students will learn about the interactions of light with different environmental features, electromagnetic radiation, multispectral and hyperspectral imagery, RADAR, LiDAR, digital image processing, object-based image analysis, and various operational applications of the technology. Students will also gain basic working knowledge of the R programming language.

Guided video tutorials for this course

YouTube Playlist

First practical tutorial


Shaun R Levick
Associate Professor

I am a geospatial ecologist who uses remote sensing and spatial data analytics to improve land management outcomes in tropical ecosystems. My research focusses on natural capital accounting, landscape rehabilitation, and computer vision for science communication.