Lecturer
Stephen Hill
ECTS
5 ECTS
Aim
In this course we will elaborate large and complex workflows dealing with the analysis and handling of big data using Python. Moreover, we will try to develop a fully automated processing chain in Python for landcover mapping starting with the download of Landsat data, preprocessing, classification and building up a spatial database that enables GIS functionality over large datasets for further analysis.
Content
We will start with the basics of Python programming language and quickly evolve towards image processing techniques with packages such as scipy, numpy, scikit-learn, scikit-image and gdal. We will also focus on arcpy for ESRI software products which allows for a convenient and powerful automatization of spatial analysis functions.
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...
Final presentations of the remote sensing programming course
The final project presentations of the spatial coding course by the EAGLE students revealed quite some impressive analysis achieved within the last couple of months. All analysis were done using R and presentations created within R using knitr. The aim was to run a...
internship and innovation laboratory presentations
The following internship and innovation laboratory projects were presented today: Karsten Wiertz did his internship at the Białowieza national park on "Spatio-temporal analysis of tree mortality and gaps in the Białowieza Forest using high resolution imagery". Jakob...
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...
Interdisciplinary course in the Bavarian Forest
The Bavarian Forest and the Bohemian Forest together form the largest contiguous forest area in central Europe, which is of an extraordinary importance for the protection and maintenance of biological diversity. Since 1970, a large area of the forest is protected as a...
One week courses on hyperspectral and time-series analysis
In the past few weeks various block courses by colleagues from DLR have taken place. Divers topics how remote sensing can be used, which methods have to be applied and how to put it into practice were covered by our colleagues Hannes Taubenböck, Martin Bachmann and...
Urban Geography Course by Hannes Taubenböck
Hannes Taubenböck from DLR discussed with our EAGLE students the application of remote sensing applications within urban research.
Scientific Presentation of Earth Observation Applications
As every term our students could participated in a scientific presentation course where they learned how to prepare, design and defend a scientific talk. Beside the theoretical part many practical exercises were part of this course and a final presentation in a large...
Remote Sensing in Ecology
The EAGLE course "Remote Sensing in Biodiversity and Conservation Science" took place in the last week of the summer term at the field research station in Fabrik Schleichach, Steigerwald. 20 biology and EAGLE students worked and lived together for one week and...
First EAGLE field methods course successfully accomplished
The first field methods course in our EAGLE MSc programme took place in the JECAM test site of DEMMIN-Germany (close to the city of Demmin in Mecklenburg-Vorpommerania) from 12.- 17.6.2017. Six EAGLE students, one colleagues of DLR, Dr. Erik Borg, and two lecturers,...