- AutorIn
- Caterina Barrasso Chair of Computational Landscape Ecology, Dresden University of Technology, Germany
- Robert KrügerJunior Professorship in Geosensor Systems, Dresden University of Technology, Germany
- Lisanne HöltingChair of Computational Landscape Ecology, Dresden University of Technology, Germany
- Anette Eltner
- Anna Cord
- Titel
- Exploring the potential of UAV for plant biodiversity monitoring in farmland
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-986949
- Konferenz
- 5th Virtual Geoscience Conference. Dresden, 21. - 22. September 2023
- Quellenangabe
- VGC 2023 - Unveiling the dynamic Earth with digital methods
Herausgeber: Helmholtz-Institut Freiberg für Ressourcentechnologie
Herausgeber: Technische Universität Dresden
Erscheinungsort: Dresden
Erscheinungsjahr: 2023
Seiten: 146-147 - Erstveröffentlichung
- 2023
- DOI
- https://doi.org/10.25368/2025.229
- Abstract (EN)
- The intensification of agriculture through the application of high fertilization rates is leading to the decline of wild arable herbs with significant natural value (HNV). This decline, in turn, is having a series of adverse ecological consequences. One approach to encourage the preservation of HNV wild arable herbs is to implement result-based payment schemes that compensate farmers based on the observable biodiversity improvements within their fields.
- Freie Schlagwörter (EN)
- Ecology, UAV Imagery, Machine Learning
- Klassifikation (DDC)
- 550
- Klassifikation (RVK)
- RB 10081
- Herausgeber (Institution)
- Helmholtz-Institut Freiberg für Ressourcentechnologie, Freiberg
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-986949
- Veröffentlichungsdatum Qucosa
- 21.08.2025
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0