Short Description
Introductory principles of remote sensing and examples of data sets. Processing and interpretation of remotely sensed data.
Learning Outcomes of Course
By the end of this course students will be able to:
■ explain the principles of remote sensing, with reference to a range of examples;
■ explain methods for processing remotely sensed data to generate environmental information;
■ explain sources of error in remote sensing data;
■ explain examples of the use of remote sensing data to detect and quantify environmental change;
■ explain how remote sensing data can be integrated with other data sources;
■ discuss the limitations of using remotely sensed data to detect environmental change;
■ write scientific reports, including use of established conventions for the reporting of results and analysis and the appropriate use and referencing of relevant published material.
