Applied Programming for Remote Sensing 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

EAGLE students coding with sweets

Today our EAGLE students applied data munging, pipes, plotting and statistics using colour distribution of sweets. They specifically used the dplyr, ggplot, kableExtra and others to compute derivatives, rearrange the data, plot it and run statistics on colour...

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Spatial Python block course

Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed...

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