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

MSc topic on wetland modeling

MSc topic on wetland modeling

M.Sc thesis (+ a two-month internship): Agent-based modeling to understand Mediterranean wetland (former saltworks) dynamic based on multiple remote sensing data The Camargue’s former saltworks is a 6500-ha site located at the Mediterranean coast in southern France....

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EAGLE students webpage is now online

EAGLE students webpage is now online

Our EAGLE students setup their own webpage at http://students.eagle-science.org! Read about their background, motivation and expectations concerning the EAGLE M.Sc. study program. Moreover, the EAGLE students will post news about ongoing social as well as scientific...

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EAGLE students visit DLR-EOC

EAGLE students visit DLR-EOC

Our EAGLE 2016 students visited the DLR-EOC last Friday and got a very good overview of the work done by the scientists at DLR. Many different topics were covered and nearly all applications of applied earth observation research done at DLR-EOC were presented.  ...

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EAGLE news on DLR website

EAGLE news on DLR website

Our young EAGLEs are covered by the DLR news section! The news article covers the background of the EAGLE M.Sc. program and welcomes our new students. Great to see that our colleagues at DLR are looking forward to meet the new EAGLEs and are eager to have them as...

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The 2016 EAGLEs

The 2016 EAGLEs

Our EAGLEs in 2016: Johannes Löw. Sarah Nolting, Marcus Groll, Bharath Selvaraj, Sebastian Roersch, Ahmed Saadallah, Marina Reiter, Pilar Endara Pinillos, Sazu Shahjahan, Ahmed Fowad, Jakob Schwalb-Willmann, Julia Sauerbrey, Louis Freytag, Karten Wiertz, Kamrul Islam...

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EAGLE 2016 welcome

EAGLE 2016 welcome

On Monday 17th of October we welcomed our new EAGLE students. The EAGLEs in 2016 are from Afghanistan, Bangladesh, Columbia, Egypt, India, Iran, Pakistan, Sweden and Germany. After the official welcome by all lecturer and the study program coordinator Christopher Conrad and the head of the remote sensing department and director of the DLR-DFD, Stefan Dech,

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