Real-time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Real-time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal
Authors
Keywords
Recombinase polymerase amplification, Survey methods, Population density, Imaging techniques, Surveys, Computer software, Forests, Machine learning algorithms
Journal
PLoS One
Volume 15, Issue 11, Pages e0242204
Publisher
Public Library of Science (PLoS)
Online
2020-11-17
DOI
10.1371/journal.pone.0242204
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- When you can't see the koalas for the trees: Using drones and machine learning in complex environments
- (2020) Grant Hamilton et al. BIOLOGICAL CONSERVATION
- Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras
- (2019) Claire Burke et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Spending to save: What will it cost to halt Australia's extinction crisis?
- (2019) Brendan A. Wintle et al. Conservation Letters
- Using virtual reality and thermal imagery to improve statistical modelling of vulnerable and protected species
- (2019) Catherine Leigh et al. PLoS One
- Drones count wildlife more accurately and precisely than humans
- (2018) Jarrod C. Hodgson et al. Methods in Ecology and Evolution
- Are koalas detected more effectively by systematic spotlighting or diurnal searches?
- (2018) Lachlan Wilmott et al. AUSTRALIAN MAMMALOGY
- Assessing the validity of crowdsourced wildlife observations for conservation using public participatory mapping methods
- (2018) Greg Brown et al. BIOLOGICAL CONSERVATION
- Hot monkey, cold reality: surveying rainforest canopy mammals using drone-mounted thermal infrared sensors
- (2018) Roland Kays et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Passive acoustics and sound recognition provide new insights on status and resilience of an iconic endangered marsupial (koala Phascolarctos cinereus) to timber harvesting
- (2018) Bradley S. Law et al. PLoS One
- Development and field validation of a regional, management-scale habitat model: A koala Phascolarctos cinereus case study
- (2017) Bradley Law et al. Ecology and Evolution
- Daylight saving time can decrease the frequency of wildlife–vehicle collisions
- (2016) William A. Ellis et al. Biology Letters
- Movement patterns of koalas in remnant forest after fire
- (2016) Alison Matthews et al. AUSTRALIAN MAMMALOGY
- Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges
- (2015) Julie Linchant et al. MAMMAL REVIEW
- Accuracy and efficiency of detection dogs: a powerful new tool for koala conservation and management
- (2015) Romane H. Cristescu et al. Scientific Reports
- Continuous monitoring of feeding by koalas highlights diurnal differences in tree preferences
- (2014) Karen J. Marsh et al. WILDLIFE RESEARCH
- Koala habitat use and population density: using field data to test the assumptions of ecological models
- (2013) William Ellis et al. AUSTRALIAN MAMMALOGY
- Ranking and mapping koala habitat quality for conservation planning on the basis of indirect evidence of tree-species use: a case study of Noosa Shire, south-eastern Queensland
- (2011) John Callaghan et al. WILDLIFE RESEARCH
- The consequences of using indirect signs that decay to determine species' occupancy
- (2010) Jonathan R. Rhodes et al. ECOGRAPHY
- Combining a map-based public survey with an estimation of site occupancy to determine the recent and changing distribution of the koala in New South Wales
- (2009) Daniel Lunney et al. WILDLIFE RESEARCH
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started