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

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MSc defense by Salim Soltani

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New EAGLEs in 2020

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Internship presentations

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On Thursday 30th at 10 am the following EAGLE students will present their internships or inno labs: Tobias Gutzmann: 'Aerial Image Analysis for WW2 Warfare Material Detection' at Luftbilddatenbank Henrik Fisser: 'Sentinel-2 Truck Detection - Sensing Trade from Space...

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MSc defense by Katrin Hasenbein

MSc defense by Katrin Hasenbein

Katrin Hasenbein will defend her M.Sc. thesis on Thursday 12am on "The potential to enhance land use mapping by leveraging processing methods of time series data". from the abstract: "With the launch of the twin satellites of Sentinel-2 time series data with a high...

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MSc idea presentation by Aida Taghavi

MSc idea presentation by Aida Taghavi

Aida will present on Friday, May 22nd at 2:30pm her MSc idea "Potentials of Cosmic-Ray Neutron Probes for Assessing and Mapping SAR-based Soil Moisture in a Mediterranean agro-forestry ecosystem by developing an integrated ground- and space-based Modelling Framework"....

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MSc defense by Sebastian Buchelt

MSc defense by Sebastian Buchelt

Sebastian Buchelt will present his M.Sc. thesis "Analysis of High-Resolution Spatio-Temporal Patterns of Snowmelt using Orthorectified Photo Cameras, Sentinel-1 Time Series and Digital Elevation Data" in a virtual course room. From the abstract: " Snow is one of the...

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