Hyperspectral Remote Sensing

field spectroscopy and image analysis

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

Spatial Python block course

Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed...

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EAGLE excursion to DLR-EOC

Our 2017 EAGLEs spend a great day at DLR-EOC close to Munich and learnt a lot about applied remote sensing. Beside talks about a variety of topics did the EAGLE students also have the chance to discuss in small groups with DLR scientists their research or...

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new lecturer: Dr. Christian Huettich

 Dr. Christian Hüttich started working in October as lecturer at the Department of Remote Sensing at the University of Würzburg. Christian is teaching applied Earth observation and digital image analyses & GIS in the EAGLE graduate program. Christian is further...

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