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Original Research - Human Influences - 16/08/24

Georectifying drone image data over water surfaces without fixed ground control: Methodology, uncertainty assessment and application over an estuarine environment

Light-weight consumer-grade drones have the potential to provide geospatial image data to study a broad range of oceanic processes. However, rigorously tested methodologies to effectively and accurately geolocate and rectify these image data over mobile and dynamic water surfaces, where temporally fixed points of reference are unlikely to exist, are limited. We present a simple to use automated workflow for georectifying individual aerial images using position and orientation data from the drone’s on-board sensor (i.e. direct-georectification). The presented methodology includes correcting for camera lens distortion and viewing angle and exploits standard mathematics and camera data processing techniques. The method is…

Jennifer Watts, Thomas Holding, Karen Anderson, Thomas G. Bell, Bertrand Chapron, Craig Donlon, Fabrice Collard, Neill Wood, David Walker, Leon DeBell, James P. Duffy, Jamie Shutler