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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Low-cost Remotely Piloted Aircraft System (RPAS) With Multispectral Sensor for Mapping and Classification of Intertidal Biogenic Oyster Reefs

Chand, S; Bollard, B; Gillman, L
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http://hdl.handle.net/10292/14113
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Abstract
The upsurge in the development of RPAS technology for low altitude remote sensing and miniaturized sensors for enhanced imaging, have led to an increase in marine ecological applications. However, the ubiquity of RPAS with sensors in the visible electromagnetic spectrum may be limiting the applications of fine-scale mapping, monitoring, and identification of biogenic marine habitats along temperate intertidal rocky reefs. Here we used a low-cost RPAS coupled with a multispectral sensor (MicaSense® RedEdge™) and object-based image analysis (OBIA) workflow to produce very high-resolution maps of biogenic oyster reefs in Waitemata Harbour, Auckland, New Zealand. The results show that having spectral bands beyond the visible electromagnetic spectrum gradually enhances feature detection on the imagery and increases the potential to delineate targeted features within a heterogeneous marine ecosystem. Using a rule-based classification technique to extract target features, based on their spectral characteristics following segmentation, yielded an overall accuracy of 83.9% and a kappa coefficient of 69.8%.Spectral resolution improved for habitat mapping of oyster reefs with additional spectral bands. High-spatial scale monitoring and mapping of turbid exposed intertidal rocky reefs presents unique challenges, but these challenges can be mitigated by targeting flights during ideal meteorological and oceanographic conditions with RPAS.
Keywords
Oyster reefs; Intertidal marine ecosystem; Mapping; Object-based image analysis (OBIA); Rule-based classification; Low altitude remote sensing; Remotely piloted aircraft system (RPAS)
Source
Aeronautics and Aerospace Open Access Journal. 2020;4(4):148-154. DOI: 10.15406/aaoaj.2020.04.00116
Item Type
Journal Article
Publisher
MedCrave Group, LLC
DOI
10.15406/aaoaj.2020.04.00116
Publisher's Version
https://medcraveonline.com/AAOAJ/low-cost-remotely-piloted-aircraft-system-rpas-with-multispectral-sensor-for-mapping-and-classification-of-intertidal-biogenic-oyster-reefs.html
Rights Statement
©2020 Chand, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.

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