Drones have emerged as a powerful tool in animal detection, significantly advancing wildlife
monitoring, conservation, and management by capturing high-resolution, real-time imagery …

The analysis of image data for benthic biodiversity monitoring is now commonplace within
the domain of marine ecology. Whilst advances in imaging technologies have allowed for …

Using 51 orthomosaics of 11 breeding locations of the Antarctic shag (Leucocarbo
bransfieldensis), we propose a method for automating counting of shag nests. This is …

Deep learning is an effective machine learning method that in recent years has been
successfully applied to detect and monitor species population in remotely sensed data. This …

Penguins are critical indicator species for detecting changes in the Antarctic ecosystem. As
climate change impacts the Antarctic environment, the distribution of penguin breeding …

Drones are being increasingly used to monitor wildlife populations; their large spatial
coverage and minimal disturbance make them ideal for use in remote environments where …

The muskrat (Ondatra zibethicus) is considered a ubiquitous inhabitant of wetlands across
Canada and the United States, but recent studies indicate that muskrat populations in many …

Long‐term, large‐scale monitoring of wildlife populations is an integral part of conservation
research and management. However, some traditional monitoring protocols lack the …

Assessing trends in population abundance and demographics is crucial for managing long‐
lived and slow‐reproducing species. Obtaining demographic data, and age‐structure …

To alleviate the heavy annotation burden for training a reliable crowd counting model and
thus make the model more practicable and accurate by being able to benefit from more data …