# Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
## Data Availability Statement: not applicable.
(2016) [PERSON]; [PERSON]; [PERSON] Visible and thermal infrared remote sensing for the detection of white-tailed deer using an unmanned aerial system. _Wild. Soc. Bull._**2016**, _40_, 181-191. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A preliminary assessment of using conservation drones for Sumatran orang-utan (Pongo abeli) distribution and density. _J. Unmanned Veh. Syst._**2015**, \(4\), 45-52. [CrossRef]* (73) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Flying beneath the clouds at the edge of the world: Using a hexacopter to supplement abundance surveys of Steller sea lions (Eumetopias jubatus) in Alaska. _J. Unmanned Veh. Syst._**2015**, \(4\), 70-81. [CrossRef]
* (74) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Quantifying nearshore sea turtle densities: Applications of unmanned aerial systems for population assessments. _Sci. Rep._**2017**, \(7\), 1-7. * (75) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Using unmanned aerial vehicles (UAVs) to investigate shark and ray densities in a shallow coral lagoon. _Mar. Ecol. Prog. Ser._**2016**, _560_, 237-242. [CrossRef]
* (76) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Trialling a real-time drone detection and validation protocol for the koala (Phascalorctos einevents). _Aust. Mammal._**2020**. [CrossRef]
* (77) [PERSON]; [PERSON]; [PERSON]; [PERSON] Drone up! Quantifying whale behavior from a new perspective improves observational capacity. _Front. Mar. Sci._**2018**, \(5\), 319. [CrossRef]
* (78) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Use of drone technology as a tool for behavioral research: A case study of crocodilian nesting. _Hertpol. Conserv. Biol._**2015**, _10_, 90-98. * (79) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Testing unmanned aircraft systems for salmon spawning surveys. _Facets_**2016**, \(1\), 187-204. [CrossRef]
* (80) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Combining drones and satellite tracking as an effective tool for informing policy change in riparian habitats: A probociss monkey case study. _Remote Sens. Ecol. Conserv._**2018**, \(4\), 44-52. [CrossRef]
* (81) [PERSON]; [PERSON]; [PERSON] Proper flight technique for using a small rotary-winged drone aircraft to safely, quickly, and accurately survey rotor nests. _J. Unmanned Veh. Syst._**2015**, \(3\), 222-236. [CrossRef]
* (82) [PERSON]; [PERSON]; [PERSON] Possibility of applying unmanned aerial vehicle (UAV) and mapping software for the monitoring of waterbirds and their habitats. _J. Ecol. Entviron._**2017**, _41_, 1-7. [CrossRef]
* (83) [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Remotely piloted aircraft systems as a rhinoceros anti-poaching tool in Africa. _PLoS ONE_**2014**, \(9\), e83873. [CrossRef] [PubMed]
* (84) [PERSON]; [PERSON] Predicting and preventing elephant poaching incidents through statistical analysis, GIS-based risk analysis, and aerial surveillance flight path modeling. _Trop. Conserv. Sci._**2016**, \(9\), 525-548. [CrossRef]
* (85) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Spot poachers in action: Augmenting conservation drones with automatic detection in near real time. In Proceedings of the AAAI Conference on Artificial Intelligence, New Orleans, LA, USA, 2-7 February 2018; Volume 32. * (86) [PERSON]; [PERSON]; [PERSON]; [PERSON] Drone Surveys Do Not Increase Colony-wide Flight Behaviour at Waterbird Nesting Sites, But Sensitivity Varies Among Species. _Sci. Rep._**2020**, _10_, 1-10. [CrossRef] [PubMed]
* (87) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Bears show a physiological but limited behavioral response to unmanned aerial vehicles. _Curr. Biol._**2015**, _25_, 2278-2283. [CrossRef] [PubMed]
* (88) [PERSON]; [PERSON]; [PERSON]; [PERSON] Interfacial mammalian wildlife responses to Unmanned Aerial Systems approaches. _Sci. Rep._**2019**, \(9\), 1-10.