Marine mammal sightings by analysts of digital imagery versus aerial surveyors: a preliminary comparison

2013 ◽  
Vol 01 (01) ◽  
pp. 25-40 ◽  
Author(s):  
William R. Koski ◽  
Tannis A. Thomas ◽  
Dale W. Funk ◽  
A. Michael Macrander

Sightings of marine mammals made by protected species observers (PSOs) on manned aircraft were compared to sightings obtained from later review of high-definition (HD) video and digital single lens reflex (DSLR) camera imagery covering the same swaths and collected concurrent with the PSO observations. If the data were comparable, future similar surveys could be conducted with unmanned aerial systems or manned aircraft without PSOs. Two reviews were conducted on the DSLR images: one used image enhancement and scanned the images at full resolution of the cameras (detailed review) and the other flashed images at one ninth resolution on monitors for three to four seconds using a slide show format to simulate the view a PSO would have out an airplane window. Image reviewers saw fewer animals in HD video than did PSOs but sample sizes were small. During detailed review of DSLR imagery, reviewers saw similar numbers of cetaceans and polar bears and slightly more pinnipeds as compared to PSOs. PSOs saw more animals than the quick review found, but changes to the quick review process are suggested that will increase detection rates. Additional data are required to confirm the results presented here and to determine whether photographic versus PSO detections are similar across varying survey conditions.

2018 ◽  
Vol 10 (10) ◽  
pp. 1579 ◽  
Author(s):  
Hitoshi Saito ◽  
Yoshihiro Iijima ◽  
Nikolay Basharin ◽  
Alexander Fedorov ◽  
Viktor Kunitsky

Eastern Siberia is characterized by widespread permafrost thawing and subsequent thermokarst development. Estimation of the impacts of the predicted rise in precipitation and air temperatures under climate change requires quantitative knowledge about the spatial distribution of thermokarst development. In the last few years, unmanned aerial systems (UAS) and structure-from-motion multi-view stereo (SfM-MVS) photogrammetry attracted a tremendous amount of interest for acquiring high-definition topographic data. This study detected characteristics of thermokarst landforms using UAS and SfM-MVS photogrammetry at a disused airfield (3.0 ha) and for arable land that was previously used for farming (6.3 ha) in the Churapcha area, located on the right bank of the Lena River in central Yakutia. Orthorectified photographs and digital terrain models with spatial resolutions of 4.0 cm and 8.0 cm, respectively, were obtained for this study. At the disused airfield site and the abandoned arable land, 174 and 867 high-centered polygons that developed after the 1990s were detected, respectively. The data showed that the average diameter and average area of the polygons at the disused airfield site were 11.6 m and 111.2 m2, respectively, while those of the polygons in the abandoned arable land were 7.4 m and 46.8 m2, respectively. The abandoned arable land was characterized by smaller polygons and a higher polygon density. The differences in polygon size for the abandoned arable land and the disused airfield site indicate a difference in the ice wedge distributions and thermokarst developments. The subsidence rate was estimated as 2.1 cm/year for the disused airfield site and 3.9 cm/year for the abandoned arable land.


2016 ◽  
Vol 4 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Courtney E. Smith ◽  
Seth T. Sykora-Bodie ◽  
Brian Bloodworth ◽  
Shalynn M. Pack ◽  
Trevor R. Spradlin ◽  
...  

The development of advanced technologies to enhance conservation science often outpaces the abilities of wildlife managers to assess and ensure such new tools are safely used in proximity to wild animals. Recently, unmanned aerial systems (UAS) have become more accessible to civilian operators and are quickly being integrated into existing research paradigms to replace manned aircraft. Several federal statutes require scientists to obtain research permits to closely approach protected species of wildlife, such as marine mammals, but the lack of available information on the effects of UAS operations on these species has made it difficult to evaluate and mitigate potential impacts. Here, we present a synthesis of the current state of scientific understanding of the impacts of UAS usage near marine mammals. We also identify key data gaps that are currently limiting the ability of marine resource managers to develop appropriate guidelines, policies, or regulations for safe and responsible operation of UAS near marine mammals. We recommend researchers prioritize collecting, analyzing, and disseminating data on marine mammal responses to UAS when using the devices to better inform the scientific community, regulators, and hobbyists about potential effects and assist with the development of appropriate mitigation measures.


2015 ◽  
Vol 3 (1) ◽  
pp. 22-29 ◽  
Author(s):  
William R. Koski ◽  
Gayan Gamage ◽  
Andrew R. Davis ◽  
Tony Mathews ◽  
Bernard LeBlanc ◽  
...  

Unmanned aerial systems (UAS) have the potential to collect high-resolution photographs of marine mammals for life-history studies without disturbing the species being studied. We conducted a pilot study near Igloolik, Nunavut, in early July 2013 to collect identification-quality photographs of bowhead whales and record the responses of the whales to overflights by an UAS. Operating under a restrictive line-of-sight permit from Transport Canada, we successfully collected high quality photographs of bowhead whales and none of the whales overflown responded to the overflights in an observable manner. If the UAS were operated under a beyond-line-of-sight permit, the UAS could be used to search for whales ahead of and to the side of the survey vessels making it more efficient to find whales to photograph. Even when operating under the restrictive line-of-sight permit, large numbers of whales could be photographed, which would provide important life-history information on the poorly studied Eastern Canada – West Greenland population.


2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.


Shore & Beach ◽  
2019 ◽  
pp. 44-49 ◽  
Author(s):  
Elizabeth Sciaudone ◽  
Liliana Velasquez-Montoya

Less than two weeks after Hurricane Florence made landfall in North Carolina (NC), a team of researchers from NC State University traveled to Dare County to investigate the storm’s effects on beaches and dunes. Using available post-storm imagery and prior knowledge of vulnerabilities in the system, the team identified several locations to visit in the towns of Kitty Hawk, Nags Head, Rodanthe, Buxton, and Hatteras, as well as a number of locations within the Pea Island National Wildlife Refuge (Figure 1). Data collected included topographic profiles, still imagery and video from unmanned aerial systems, sediment samples, and geo-located photography. This Coastal Observations piece presents some of the data and photos collected; the full report is available online (Sciaudone et al. 2019), and data collected will be made available to interested researchers upon request.


2019 ◽  
Author(s):  
Walter Ochieng ◽  
Tun Ye ◽  
Christina M. Scheel ◽  
Aun Lor ◽  
John M. Saindon ◽  
...  

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