Digital Image Analysis and GIS

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

This course provides detailed knowledge of programming or coding using spatial data, especially for remote sensing and GIS tasks.

 

Content

Different spatial programming approaches are covered using actual remote sensing and GIS data to enable the students to apply a variety of methods in a semi-automatic manner for remote sensing data analysis. All methods will be practically applied during the course using the programming language R and maybe other programs such as GRASS, SAGA, QGIS or OTB. This course continues where the “Programming and Geostatistics” courses stopped and is considered a prerequisite. Both courses are tightly linked

 

Coding

Coding for specific spatial data tasks are covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different spatial data coding techniques will be introduced and practically applied.
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Content

Coding exercises for the analysis of spatial data sets

General Course News and Updates

MSc defense by Christabel Ansah

MSc defense by Christabel Ansah

Christabel will present her M.Sc. thesis "ASSESSING THE ENVIRONMENTAL IMPACT OF OIL SPILLS IN THE NIGER DELTA, NIGERIA" on Monday 20th of December at 10am. From the abstract: "The Niger Delta region of Nigeria has been battling with an unprecedented number of oil...

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MSc defense Diego Alarcon

MSc defense Diego Alarcon

Diego will present his M.Sc. thesis "Exploring the potential of remote sensing using machine learning to predict yields for table grape farms in Chile" on Friday, 10th of December at 9am. From the abstract: Table grape is among Chile most important crops, the country...

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MSc defense Malin Fischer

MSc defense Malin Fischer

Malin Fischer will present her MSc thesis "Remote sensing and machine learning for irrigation mapping in complex landscapes: a case study in Mozambique" on Wednesday, 10th of November at 9 am. From her abstract: "Analyzing the spatio-temporal distribution of irrigated...

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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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