BSc thesis handed in on impact of spectral and spatial resolution on classifications

BSc thesis handed in on impact of spectral and spatial resolution on classifications

October 26, 2017

Marius Philipp handed in his B.Sc. thesis on “Spectral and spatial resolution of remote sensing data and its impact on classification processes – A case study of the Bavarian Steigerwald”. From the abstract: Remote sensing data enables a highly potent and cost efficient way for extracting thematic information such as land cover types and their distribution. A common area of application is therefore the creation of land cover and land use maps. But since this is a complex decision-making process, a successful execution of this task can prove to be rather difficult. Choosing suitable imagery in terms of its spatial and spectral resolution can highly affect the accuracy results of the finished product and should therefore be carefully considered beforehand. In order to assist ecologists by giving them a reference point for choosing the best suited data, this study contains comparisons of several remotely sensed data sets with different spatial and spectral features. Four individual classification algorithms are applied in a multi-level classification approach on numerous scales, which is designed to be increasingly complex with each classification scheme. Results of this study reveal, that higher spatial and spectral resolutions do not always generate more accurate classification results. It is shown, that satellite imagery with a medium spatial resolution tend to create better land cover maps compared to high resolution images. Furthermore,  the individual classification algorithms tend to strongly affect the quality of the classification products as well, which creates another import decision point that will be discussed in this study.

 

supervisor: Dr. Martin Wegmann in collaboration with the Steigerwald research station.

you may also like:

Successful fieldwork at the Naryn River in Kyrgyzstan

Successful fieldwork at the Naryn River in Kyrgyzstan

During the last week, EORC PI Florian Betz, EAGLE student Ariana Arguello-Cordero and FluBig team member Magdalena Lauermann from Catholic University Eichstätt-Ingolstadt have been on a field campaign in Kyrgyzstan to collect data for the FluBig project dedicated to...

EO4CAM Meeting in Oberpfaffenhofen

EO4CAM Meeting in Oberpfaffenhofen

On 5 June 2025, representatives from the Bavarian State Ministry of the Environment and Consumer Protection (StMUV), the Bavarian Environment Agency (LfU), and the German Aerospace Center (DLR) met at DLR Oberpfaffenhofen as part of the EO4CAM (Earth Observation...

EORC at the International Africa Festival 2025 in Würzburg

EORC at the International Africa Festival 2025 in Würzburg

If you know Würzburg, you certainly know the International Africa Festival, Europe's largest and oldest festival for African music and culture. For 15 years in a row now, the university tent has been an integral part of the festival. This is where the...

EO4CAM meeting at LfU in Augsburg on grassland in Bavaria

EO4CAM meeting at LfU in Augsburg on grassland in Bavaria

As part of the EO4CAM project (Earth Observation Laboratory for Climate Adaption and Mitigation), representatives of the Bavarian Environment Agency (LfU), the German Aerospace Centre (DLR), and the Earth Observation Research Cluster (EORC) met at the LfU in...

New R Package Enhances UAS Research and Planning

New R Package Enhances UAS Research and Planning

We’re excited to share the development of a new R package created by our PhD student, Antonio Castaneda Gomez, whose contributions to Uncrewed Aerial Systems (UAS) research continue to impress. Known as the brain behind many of our UAS data collection...