| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Verbree, Edward | |
| dc.contributor.author | Varga, Lola | |
| dc.date.accessioned | 2023-06-10T00:00:44Z | |
| dc.date.available | 2023-06-10T00:00:44Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43982 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | Coastal systems are important for many ecosystem services. This study focuses on the human use of the coast and the effects of anthropogenic impact. Based on images taken by Unmanned Aerial Vehicles (UAVs), correlations can be found between visitor pressure and vegetation growth. In this thesis, an object recognition method is applied to the detection of footprints. The difficulty, however, lies in the nature of the sand itself. | |
| dc.title | Identifying anthropogenic pressure on beach vegetation by means of detecting and counting footsteps on UAV images | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Geographical Information Management and Applications (GIMA) | |
| dc.thesis.id | 17301 | |
