https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52161 Wed 28 Feb 2024 11:00:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35503 Wed 19 Aug 2020 11:21:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46347 Wed 16 Nov 2022 08:47:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45295 Wed 07 Feb 2024 14:59:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44935 Tue 25 Oct 2022 10:36:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35505 Tue 25 Jul 2023 09:29:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50548 Tue 01 Aug 2023 10:55:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42281 Thu 20 Jul 2023 15:43:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50610 Mon 31 Jul 2023 13:05:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52862 Mon 30 Oct 2023 10:00:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43602 n = 12) using two in-field approaches: validation by on-ground observer (n = 10) and validation using 4K footage captured and reviewed directly after the survey (n = 2). We also provide detectability considerations relative to survey time, temperature, wildlife–RPAS interactions and detection of non-target species, which can be used to further inform RPAS survey protocols.]]> Mon 26 Sep 2022 15:26:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37903 Mon 21 Jun 2021 15:18:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35587 Mon 09 Sep 2019 10:25:46 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48231 Mon 08 May 2023 10:21:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41219 Fri 29 Jul 2022 09:46:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45728 A$49 900), RPAS thermal imaging surveys were cost-effective, detecting the highest number of koalas per dollar spent. Modelling also suggested that RPAS thermal imaging requires the lowest survey effort to detect koalas within the range of publicly available koala population densities (~0.006–18 koalas ha−1) and would provide long-term cost reductions across longitudinal monitoring programs. RPAS thermal imaging would also require the lowest average survey effort costs at a landscape scale (A$3.84 ha−1), providing a cost-effective tool across large spatial areas. Conclusions: Our analyses demonstrated drone thermal imaging technology as a cost-effective tool for conservation practitioners monitoring koala populations. Our analyses may also form the basis of decision-making tools to estimate survey effort or total program costs across any koala population density. Implications: Our novel approach offers a means to perform various economic comparisons of available survey techniques and guide investment decisions towards developing standardised koala monitoring approaches. Our results may assist stakeholders and policymakers to confidently invest in RPAS thermal imaging technology and achieve optimal conservation outcomes for koala populations, with standardised data collection delivered through evidence-based and cost-effective monitoring programs.]]> Fri 04 Nov 2022 09:52:04 AEDT ]]>