Using Deep Learning to Count Albatrosses from Space: Assessing Results in Light of Ground Truth Uncertainty

• Published in: Remote Sensing
• Main Authors: Ellen Bowler, Peter T. Fretwell, Geoffrey French, Michal Mackiewicz
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: WorldView-3; convolutional neural network; VHR satellite imagery; wildlife monitoring; observer uncertainty; Wandering Albatross; Science; Q; Four Islands
• Online Access: https://doi.org/10.3390/rs12122026; https://doaj.org/article/d2326768aeea48f385b21818fea46d82

Many wildlife species inhabit inaccessible environments, limiting researchers ability to conduct essential population surveys. Recently, very high resolution (sub-metre) satellite imagery has enabled remote monitoring of certain species directly from space; however, manual analysis of the imagery is...