BSc thesis handed in on stork movement and remote sensing

BSc thesis handed in on stork movement and remote sensing

written by Martin Wegmann

September 21, 2017

Leonard Hammer handed in his B.Sc. thesis on “explaining spatial patterns of stork movements using remote sensing data”. He used stork data from the Lake Constance region and applied species distribution models on different behavioral states (nesting, feeding etc.) using Landsat TimeScan data. This data set provides temporal metrics for the last years, such as max, min and variance of the NDVI. Moreover, he tested different model performances and scaling effects and found partly that lower resolution data resulted in more sounds results. He was supervised by R. Remelgado and Dr. Martin Wegmann

you may also like:

PhD colloquium of Prof. Stefan Dech

PhD colloquium of Prof. Stefan Dech

Last week we had as every year the colloquium of all PhD students by Prof. Stefan Dech. This time in a different setting however despite these changes we had very good and extensive discussions on various research topics. Nevertheless we are looking forward to have...

Book “Intro to Spatial Data Analysis” in Print

Book “Intro to Spatial Data Analysis” in Print

Our upcoming book "Introduction to Spatial Data Analysis" is finally in print and delivery is expected around end of July. This book provides a gentle introduction to spatial data analysis using mainly QGIS and also working on the command line (R) with spatial data....

most recent news:

UAV Lidar mapping for rockfall Risk Estimation

UAV Lidar mapping for rockfall Risk Estimation

The area of the rockfall event above vineyards within a nature protection zone Due to a recent rockfall event and in order to analyze the landscape conditions within this area did we conduct a UAV Lidar mapping campaign in Thüngersheim, close to Würzburg. The main aim...

innovative urban climate in-situ measurements for Earth Observation

innovative urban climate in-situ measurements for Earth Observation

Bikair is a project aiming at measuring urban climate parameters with in-situ and Earth Observation. It focuses on testing low-cost Arduino-based sensors in an urban environment such as the city of Würzburg. Eventually, the project aims to correlate in-situ data with...