Hyperspectral Remote Sensing

04-GEO-OMA5

Lecturer

Martin Bachmann

ECTS

5 ECTS  

Aim

Spectroscopy and hyperspectral remote sensing enables to retrieve very detailed spectral information about a certain surface in dense bandwith intervalls. Information on the “spectral fingerprints” of surfaces is then available in a near-continuous manner. This allows for the differentiation of materials, such different geologic surfaces, different urban materials, or plants of different composition and vigor. Especially field- and laboratory spectroscopy has shown many benefits, as measurements can be carried out in a controlled environment, and can be directly visualized and explained. This course provides you insights into practical experiments using a field spectrometer, and subsequent data analysis to assess key environmental parameters such as plant health, soil moisture content, and geologic composition.

 

Content

The content of this course includes both the theoretical background of field and imaging spectroscopy, as well as practical experiments and subsequent data analysis. In particular, we will adress: the theoretical background of field and imaging spectroscopy / general reflectance and transmittance properties of plant leaves, canopies and soils / the quantification of biophysical and biochemical properties using spectroscopic measurements, feature parametrization and regression analysis / the advantages and challenges of existing and planned hyperspectral spaceborne sensors

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different techniques will be introduced and practically applied.
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Content

The content of scientific with regard to the audience will be discussed.

General Course News and Updates

Welcome, new EAGLEs!

Welcome, new EAGLEs!

The newest group of EAGLE students arrived in Würzburg! They come from different countries, with different backgrounds and different skills, and that’s exactly what makes this program special. Remote sensing is a big field, and it gets better when people look at it...

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[Spotlight] Lecturer Spotlight: Julian Faeth

[Spotlight] Lecturer Spotlight: Julian Faeth

Dr. Julian Fäth is a postdoctoral researcher at our EORC. His teaching combines remote sensing, forest ecology and geospatial data science with a strong focus on operational applications and climate adaptation. Since 2018, Julian has been actively involved in...

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