Automated Vertical Photography for Detecting Pelagic Species in Multitaxon Aerial Surveys

作者:Taylor Jessica K D*; Kenney Robert D; LeRoi Donald J; Kraus Scott D
来源:Marine Technology Society Journal, 2014, 48(1): 36-48.
DOI:10.4031/MTSJ.48.1.9

摘要

Marine aerial surveys are designed to maximize the potential for detecting target species. Collecting data on different taxa from the same platform is economically advantageous but normally comes at the cost of compromising optimal taxon-specific scanning patterns and survey parameters in particular altitude. Here we describe simultaneous visual and photographic sampling methods as a proof of concept for detecting large whales and turtles from a single aircraft despite very different sighting cues. Data were collected for fishing gear fish, Slarks, turtles, seals, dolphins, and whales using two observers and automated vertical photography. The photograph method documented an area directly beneath the aircraft that would otherwise have been obscured from observers. Preliminary density estimates were calculated for five species for which there were sufficient sample sizes from both methods after an initial year of data collection. The photographic method yielded significantly higher mean density estimates for loggerhead turtles ocean sunfish, and bluesharks (p %26lt; 0.01), despite sampling a substantilly small area than visual scanning (less than 11%). Density estimates from these two methods were not significantly different for leatherpact turtles or basking sharks (p %26gt; 0.05) two of the largest species included in the analysis which are relatively easy to detect by both methods. Although postlight manual processing of photographic data was extensive, this sampling method comes at no additional in flight effort and obtain high-quality digital documentation of sightings on the trackline. Further directions for this project include automating photographic sighting detections expanding the area covered by photography and performing morphometric measurement assessments.

  • 出版日期2014-2