| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Externe beoordelaar - External assesor, | |
| dc.contributor.author | Buznego Puerto, Carlota | |
| dc.date.accessioned | 2024-02-15T14:56:42Z | |
| dc.date.available | 2024-02-15T14:56:42Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45989 | |
| dc.description.abstract | The Marker Wadden is a newly created wetland ecosystem. RGB drone imagery has been used to monitor the first years of evolution. This report uses automated classification methods on RGB, RGB vegetation indexes and multispectral images to study the vegetation. | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | The Marker Wadden is a newly created wetland ecosystem. RGB drone imagery has been used to monitor the first years of evolution. This report uses automated classification methods on RGB, RGB vegetation indexes and multispectral images to study the vegetation. | |
| dc.title | Design and evaluation of a method to monitor vegetation development in Marker Wadden using RGB and multi-spectral drone imagery | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Wetlands, Drone Imagery, Monitoring, Automated classification | |
| dc.subject.courseuu | Geographical Information Management and Applications (GIMA) | |
| dc.thesis.id | 20654 | |
