Aim
Designing scientific graphics that provide all necessary information without being too packed, focusing on the essential message and being able to actually create such graphics will be covered In this class. All necessary tools and and approaches to create adequate figures and maps will be covered.
Content
figure from the book “Remote Sensing and GIS for Ecologists” by Wegmann, Leutner and Dech, created with tikz
General guidelines of scientific graphics and maps will be covered based on e.g. Tufte and followed by practical implementation of graphic ideas, as well as critical evaluation of the results. Only open source program will be used such as R or tikz/pgf and students will have the opportunity to work specifically on certain scientific graphics or maps using e.g. ggplot2 and explore the potential and limits of good scientific graphs. Good map designs will be discussed as well and common mistakes will be pointed out. After this course you will be capable to create your own graphics for a specific scientific purpose e.g. your M.Sc. thesis.
Coding
Software
Techniques
Content
General Course News and Updates
Our students won the DLR Copernicus challenge 2021!
Great to see again our EAGLE students winning the DLR Copernicus challenge. Last year Henrik Fisser won with his truck detection approach, this year our EAGLE students Sofia Garcia, Annika Ludwig, Nils Karges, Andreas Bury and Antonio Castaneda won the DLR Copernicus...
Great dashboard by our EAGLE students
our EAGLE students created various informative remote sensing and spatial environmental data dashboards and learned a lot how to communicate their Earth Observation research in an interactive online platform. One example by our student Ronald Okoth is shown below and...
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...
M.Sc. idea presentation by Giovanni Matabishi
On Friday 26th of November at 10am Giovanni will present his M.Sc. idea on "Applying Artificial Light as a Focal Predictor to Model Bat Distribution in South Tyrol". His M.Sc. research is done in collaboration with EURAC research in Bolzano, South Tyrol, Italy. The...
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...
Internship and MSc idea presentation
On Friday 12th of November at 9am the following presentations will take place: Sofia Garcia:"Production of morphology data in African and Asian cities."Internship at DLR, supervisor: Henri Debray Annika Ludwig"Analysis of alpine grassland management dynamics based on...
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...
MSc idea, inno lab and internship
On Monday, 25th of October the following remote sensing presentation by our EAGLE students will take place: 9am MSc idea presentation by Nils Karges "Exploring spatial relationships of soundscape variables in urbanareas. " (supervisors: Hannes Taubenböck and Jürgen...
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...
MSc idea and InnoLab presentations
On Friday 15th of October at 10am we will have the following MSc idea and inno lab presentations: Nestor Gualsaqui - M.Sc. Thesis Idea: "Pre-crop emergence weed mapping using high satellite imagery"supervisor: Dr. Michael Thiel Yomna Eid - Innovation Lab:...