Presentation + Paper
14 October 2019 A low-cost small unmanned surface vehicle (sUSV) for very high-resolution mapping and monitoring of shallow marine habitats
George T. Raber, Steven R. Schill
Author Affiliations +
Abstract
In the effort to design a more repeatable and consistent platform to collect data for Structure from Motion (SfM) monitoring of coral reefs and other benthic habitats, we explore the use of recent advancements in opensource GPS-guided drone technology to design and test a low-cost and transportable small Unmanned Surface Vehicle (sUSV). The vehicle operates using Ardupilot open source software and can be used by marine managers to map and monitor marine environments in shallow areas (<20m). The imaging system uses two Sony a6300 mirrorless cameras to collect stereo photos that can be later processed using photogrammetry software to create underwater high resolution orthophoto mosaics and digital surface models. The propulsion system consists of two small brushless motors powered by lithium batteries that follow pre-programmed survey transects and are operated by a GPS-guided autopilot control board. Results from our project suggest the sUSV provides a repeatable, viable, and low-cost (<$2000 USD) solution for acquiring images of benthic environments on a frequent basis from near the water surface. These images can be used to create SfM models that provide very detailed images and measurements that can be used for monitoring changes in biodiversity, reef erosion/accretion, and assessing health conditions.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George T. Raber and Steven R. Schill "A low-cost small unmanned surface vehicle (sUSV) for very high-resolution mapping and monitoring of shallow marine habitats", Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 1115004 (14 October 2019); https://doi.org/10.1117/12.2531361
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Atomic force microscopy

Control systems

Global Positioning System

Data modeling

Imaging systems

Sun

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