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

thesis idea presentations

thesis idea presentations

On Monday 26th of July at 2pm we will have two MSc thesis idea presentations:   Jakob Wachter (thesis idea):"Derivation of Snow cover in mountain regions from Webcam and Sentinel Imagery (thesis idea)" - supervisors Dr. Tobias Ullmann and Dr. Mattia Rossi, EURAC...

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MSc Defense by Sandro Groth

MSc Defense by Sandro Groth

Sandro Groth will present his M.Sc. thesis "Using street-level imagery and multi-task deep learning for multi-hazard risk related building characterization" on June 28th at 9am. From his abstract: "Accurate building characterization is a key component of multi-hazard...

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MSc defense by Henrik Fisser

MSc defense by Henrik Fisser

Henrik Fisser will present his M.Sc. thesis on Thursday 17th of June at 9am about “Sentinel-2-based moving truck detection for spatiotemporal road cargo emission and density approximation”. More details from his abstract: "In many countries freight is mainly...

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MSc defense of Basil Tufail

MSc defense of Basil Tufail

Basil Tufail will present his M.Sc. thesis "Monitoring the Displacement of an Active Tailings Dam in Peru using Persistent Scatterer Interferometry (PS-InSAR)" on Friday, June 18th, at 9am. From the abstract: "As mining activities and the number of tailings dam grow...

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Review of applications

Review of applications

Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...

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MSc thesis defense by Johannes Mast

MSc thesis defense by Johannes Mast

Johannes Mast will present his thesis "Analyzing the relationship between urban morphology and economic subcenters with a focus on urban polycentricity using remote sensing and socioeconomic data" on Monday 14th of June at 9am. From the abstract: "Polycentricity...

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