Deliverables
Assignments
We distinguish between unmarked and marked deliverables (“Studien- und Prüfungsleistung”). Both are required for passing the course but only the latter are marked.
Your unmarked assignment will be to present a paper on recent developments in the world of proximity sensing in the form of a 12 minute presentation followed by a 3 minute discussion. Everybody is requested to prepare 3 questions for the topic of each of your peers.
Topics of the seminar
| Paper | Presenter | Presentation Date |
|---|---|---|
| Zhao, Y. et al. (2022). Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis. Forests 13, 264. DOI | ||
| Wittmann, K. et al. (2024). Monitoring fast-moving animals—Building a customized camera system and evaluation toolset. Methods in Ecology and Evolution. DOI | ||
| Wägele, J. W. et al. (2022). Towards a multisensor station for automated biodiversity monitoring. Basic and Applied Ecology 59, 105–138. DOI | ||
| Radig, B. et al. (2021). Automated Visual Large Scale Monitoring of Faunal Biodiversity. Pattern Recognit. Image Anal. 31, 477–488. DOI | ||
| Madalozzo, B. et al. (2017). Biodiversity assessment: selecting sampling techniques to access anuran diversity in grassland ecosystems. Wildl. Res. 44, 78–91. DOI | ||
| Krivek, G. et al. (2023). BatNet: a deep learning-based tool for automated bat species identification from camera trap images. Remote Sensing in Ecology and Conservation 9, 759–774. DOI | ||
| Jeliazkov, A. et al. (2016). Large-scale semi-automated acoustic monitoring allows to detect temporal decline of bush-crickets. Global Ecology and Conservation 6, 208–218. DOI | ||
| Freitas, B. et al. (2023). Passive acoustic monitoring in difficult terrains: the case of the Principe Scops-Owl. Biodivers Conserv 32, 3109–3132. DOI | ||
| Bjerge, K. et al. (2022). Real-time insect tracking and monitoring with computer vision and deep learning. Remote Sensing in Ecology and Conservation 8, 315–327. DOI | ||
| Ärje, J. et al. (2017). The effect of automated taxa identification errors on biological indices. Expert Systems with Applications 72, 108–120. DOI | ||
| Alcocer, I. et al. (2022). Acoustic indices as proxies for biodiversity: a meta-analysis. Biological Reviews 97, 2209–2236. DOI |
Project work
Your marked assignment will be to prepare a project work consisting of a 1-2 page introduction, 3-5 pages of description of the setting, 1-2 pages of analysis and results, and 2 pages of discussion. This assignment can also be presented in form of a github page. You can submit group projects, but each person must individually address the sections “Analysis” and “Results” for their choosen question. This means that each of you should work on your own section on analysis and results for the specific question you are responsible for.