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

MSc thesis defense by Florian Baumgartner

MSc thesis defense by Florian Baumgartner

Floran Baumgartner will present his M.Sc. thesis "The potential of Sentinel-2 time series for yield estimation of a perennial wild plant mix-ture using machine learning" on Friday 29th of October at 10am. From the abstract: "Monocultures are generally accompanied by...

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MSc defense by Frederic Schwarzenbacher

MSc defense by Frederic Schwarzenbacher

Frederic Schwarzenbacher will defend his M.Sc. thesis on Monday 6th at 3pm. The title is "Habitat suitability modeling for Desert Locust in the Awash River basin: Estimation of the breeding probability based on remote sensing, climatology and environment data" and...

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MSc defense by Belen Villacis

MSc defense by Belen Villacis

Belen will defend her M.Sc. thesis “Spatio-temporal patterns of urban expansion among main biomes in Ecuador using LULC data from 1990-2018” on Wednesday 8th of September, 2pm. From the abstract: "Over the past decades, the world has experienced an accelerated...

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MSc defense by Ronja Lappe

MSc defense by Ronja Lappe

Ronja Lappe handed in her M.Sc. thesis "Assessing 30 years of coastline dynamics in Vietnam using the Landsat archive"from the abstract: "Almost half of the world’s human population lives in coastal regions, with 40 % less than ten meters above sea level. Due to...

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MSc defense by Martin Koenig

MSc defense by Martin Koenig

Martin König handed in his thesis with the title “Examining post-fire vegetation recovery with Landsat time series analysis in Olympic National Park (USA)”. Martin used remote sensing and ground collected data to make sense of vegetation recovery patterns for larger...

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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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