After successful completing this course, you will be able:
To provide an overview of the most important, currently available remote sensing techniques and sensors for the earth sciences;
To explain the physics of (imaging) spectroscopy and other Earth observation methods and the use of spectral libraries to aid image interpretation;
To illustrate the study and interpretation of spatial patterns and time series data in remote sensing;
To instruct on the use of current desktop- and cloud-based image processing tools
During the course you will develop and train the following skills:
Giving academic oral presentations about an applied remote sensing topic.
Written reporting about image processing and interpretation.
Analyze and interpret various types of satellite images using the theoretical knowledge acquired during the lectures.
Hands on use of advanced image processing software to process, interpret, classify and analyze a range of different earth observation images.
The student is expected to:
Understand the fundamentals of imaging spectroscopy and its applications;
Be able to analyze and interpret remote sensing information in their spatial and temporal contexts;
Be able to do Earth observation image processing and interpretation using available software and effectively use build-in or online documentation to compose their own analyses.
To critically evaluate remote sensing products passing your desk.
Content
Remote sensing, or Earth observation, is a fast developing and innovative technique of exceptional importance for all geo-disciplines. Earth observation is now widely used to study the dynamics of system Earth and deliver important input in global change models, ocean current models water balance models and at regional level for modeling catchment discharges and erosion processes. Remote sensing enables the collection of information about the spatial distribution of objects at the Earth surface such as crops, vegetation, soil types, rock types, alteration zones, snow, surface water, to identify object properties (vegetation cover, type of crops, soil mineral contents) and to investigate their temporal changes (seasonal or long-term). A wide range of sensors (optical, thermal, radar, lidar) are now orbiting the earth or are available in aircrafts. These basics are presented and discussed during the bachelor course and here we continue with more advanced techniques for information extraction from imagery by hands-on exercises.
