# Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
## Data Availability Statement: not applicable.
[CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Task assignment algorithm for road patrol by multiple UAVs with multiple bases and rechargeable endurance. _IEEE Access_**2019**, \(7\), 144381-144397. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] A multi-objective approach for unmanned aerial vehicle routing problem with soft time windows constraints. _Appl. Math. Model._**2014**, _38_, 839-852. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Decentralised Autonomous Navigation of a UAV Network for Road Traffic Monitoring. _IEEE Trans. Aerosp. Electron. Syst._**2021**. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] Navigation of a UAV Network for Optimal Surveillance of a Group of Ground Targets Moving along a Road. _IEEE Trans. Intell. Transp. Syst._**2021** [CrossRef]
* [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Rapid Prototyping for Wildlife and Ecological Monitoring. _IEEE Syst. J._**2010**, \(4\), 198-209. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles. _Funct. Ecol._**2017**, _31_, 2310-2319. [CrossRef]
* [PERSON] (2019) [PERSON]; [PERSON] [PERSON] SnotBot: A whale of a deep-learning project. _IEEE Spectr._**2019**, _56_, 41-53. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An economical custom-built drone for assessing whale health. _Front. Mar. Sci._**2017**, \(4\), 425. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Unmanned aircraft systems for studying spatial abundance of ungulates: Relevance to spatial epidemiology. _PLoS ONE_**2014**, \(9\), e115608. [CrossRef] [PubMed]
* [PERSON] et al. (2016) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Classification of riparian forest species and health condition using multi-temporal and hyperspectral imagery from unmanned aerial system. _Environ. Monit. Assess._**2016**, _188_, 146. [CrossRef]
* [PERSON] et al. (2016) [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Evaluating an unmanned aerial vehicle-based approach for assessing habitat extent and condition in fine-scale early successional mountain mosaics. _Appl. Veg. Sci._**2016**, _19_, 132-146. [CrossRef]
* [PERSON] et al. (2014) [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Small drones for community-based forest monitoring: An assessment of their feasibility and potential in tropical areas. _Forests_**2014**, \(5\), 1481-1507. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring. _Biol. Conserv._**2016**, _198_, 60-69. [CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Practical bias correction in aerial surveys of large mammals: Validation of hybrid double-observer with sightability method against known abundance of feral horse (Equus caballus) populations. _PLoS ONE_**2016**, _11_, e0154902. [CrossRef] [PubMed]
* [PERSON] (2021) [PERSON]. Drones Help Find Massive Penguin Colonies Hiding in Plain Sight. Available online: [[https://deeply.thenewhumanitarian.org/oeans/articles/2018/03/05/drones-help-find-massive-penguin-colonies-hiding-in-plain-sight](https://deeply.thenewhumanitarian.org/oeans/articles/2018/03/05/drones-help-find-massive-penguin-colonies-hiding-in-plain-sight)]([https://deeply.thenewhumanitarian.org/oeans/articles/2018/03/05/drones-help-find-massive-penguin-colonies-hiding-in-plain-sight](https://deeply.thenewhumanitarian.org/oeans/articles/2018/03/05/drones-help-find-massive-penguin-colonies-hiding-in-plain-sight)) (accessed on 3 May 2021). * [PERSON] et al.