UAS-based automatic bird count of a common gull colony

26 citations as recorded by crossref.

1. Applications of digital imaging and analysis in seabird monitoring and research A. Edney & M. Wood 10.1111/ibi.12871
2. Automated detection of wildlife using drones: Synthesis, opportunities and constraints E. Corcoran et al. 10.1111/2041-210X.13581
3. Computer-automated bird detection and counts in high-resolution aerial images: a review D. Chabot & C. Francis 10.1111/jofo.12171
4. Measuring disturbance at swift breeding colonies due to the visual aspects of a drone: a quasi-experiment study G. Mesquita et al. 10.1093/cz/zoaa038
5. Measuring the influence of unmanned aerial vehicles on Adélie penguins M. Rümmler et al. 10.1007/s00300-015-1838-1
6. Evaluation of an unmanned aircraft system for detecting surrogate caribou targets in Labrador C. Patterson et al. 10.1139/juvs-2015-0014
7. Monitoring Colonies of Large Gulls Using UAVs: From Individuals to Breeding Pairs A. Corregidor-Castro et al. 10.3390/mi13111844
8. Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina & P. Molina 10.1016/j.isprsjprs.2014.02.013
9. Detectability and categorization of California sea lions using an unmanned aerial vehicle K. Adame et al. 10.1111/mms.12403
10. A protocol for the aerial survey of penguin colonies using UAVs N. Ratcliffe et al. 10.1139/juvs-2015-0006
11. Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping H. Akçay et al. 10.3390/ani10071207
12. Coloured ornamental traits could be effective and non-invasive indicators of pollution exposure for wildlife N. Lifshitz & C. St Clair 10.1093/conphys/cow028
13. Can drones count gulls? Minimal disturbance and semiautomated image processing with an unmanned aerial vehicle for colony‐nesting seabirds G. Rush et al. 10.1002/ece3.4495
14. Revue des applications et de l’utilité des drones en conservation de la faune P. Charbonneau & J. Lemaître 10.7202/1080620ar
15. Sensitivity of Adélie and Gentoo penguins to various flight activities of a micro UAV M. Rümmler et al. 10.1007/s00300-018-2385-3
16. Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery S. Hong et al. 10.3390/s19071651
17. Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery W. Bouachir et al. 10.1109/ACCESS.2019.2923765
18. Integrating UAV Technology in an Ecological Monitoring System for Community Wildlife Management Areas in Tanzania L. Mangewa et al. 10.3390/su11216116
19. Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in? D. Chabot & D. Bird 10.1139/juvs-2015-0021
20. Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics A. Lausch et al. 10.3390/rs8121029
21. Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges J. Linchant et al. 10.1111/mam.12046
22. Drone Monitoring of Breeding Waterbird Populations: The Case of the Glossy Ibis I. Afán et al. 10.3390/drones2040042
23. Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures G. Morgenthal & N. Hallermann 10.1260/1369-4332.17.3.289
24. Evaluating behavioral responses of nesting lesser snow geese to unmanned aircraft surveys A. Barnas et al. 10.1002/ece3.3731
25. Using Fixed-Wing UAV for Detecting and Mapping the Distribution and Abundance of Penguins on the South Shetlands Islands, Antarctica C. Pfeifer et al. 10.3390/drones3020039
26. Surveys of Large Waterfowl and Their Habitats Using an Unmanned Aerial Vehicle: A Case Study on the Siberian Crane D. Wen et al. 10.3390/drones5040102