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

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

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...

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Bibliographic Details
Main Authors: Ellen Bowler, Peter T. Fretwell, Geoffrey French, Michal Mackiewicz
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
WorldView-3
convolutional neural network
VHR satellite imagery
wildlife monitoring
observer uncertainty
Wandering Albatross
Online Access:https://www.mdpi.com/2072-4292/12/12/2026

Internet

https://www.mdpi.com/2072-4292/12/12/2026

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