Thesis track: Geo information science & Remote Sensing – Biosystems Engineering

Thesis track: Geo information science & Remote Sensing – MSc Biosystems Engineering

How do you solve a complex geo-spatial problem? Can we model and visualise traffic on agricultural fields? Are we able to monitor local nutrient deficiency in an early stage changes in the landscape and environment? If these questions spark your interest, the GRS thesis track might be something for you.

GRS concerns using spatial and remote sensing data to monitor and develop models for the agricultural, as well as urban and natural environments. Looking at agricultural practice from a distance, opens up many opportunities of research, business and society.

Learn more about GRS on the GRS group page.


Following are some relevant courses associated with the Farm Technology group.

Remote Sensing

Remote Sensing

This course offers the basic theories in the field of remote sensing, starting from the information needs of various land applications. It is directed at providing a basic knowledge of remote sensing concepts and methods: recording techniques in the optical and microwave region, image construction, digital image analysis and pattern recognition, geometric and atmospheric correction procedures and the subsequent quality of images.


Advanced Earth Observation

This course is providing students the opportunity to acquire further knowledge in the field of earth observation on advanced topics, such as some more physics on remote sensing, radiative transfer models for biophysical parameter retrieval of vegetation, LiDAR for deriving forest structure, RADAR for forest monitoring, methods for monitoring vegetation dynamics and change detection, and innovative approaches for in-situ calibration and validation.

Geo-information Tools

Geo-information Tools

This course is aimed at giving students knowledge and skills to implement GIS concepts within projects where geo-information plays an important role. The course content has a double objective of providing students with the theoretical basis to run GIS-based projects, as well as the practical hands-in knowledge to implement a solution in a standard desktop GIS and communicate the results to a commissioner through maps.

Spatial Modelling and Statistics

Spatial Modelling and Statistics

Models of spatial processes are important means to support decision making. Such a model, however, is merely a formal and geo-referenced representation of a mental construction about the real world. This course offers knowledge and skills to qualify and implement spatial models and evaluate their results. The course consists of three modules: the first module provides an overview of spatial models and allows students to practice with a cellular automata-based model.

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