Low-cost Remotely Piloted Aircraft System (RPAS) With Multispectral Sensor for Mapping and Classification of Intertidal Biogenic Oyster Reefs

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aut.relation.endpage154
aut.relation.issue4en_NZ
aut.relation.journalAeronautics and Aerospace Open Access Journalen_NZ
aut.relation.startpage148
aut.relation.volume4en_NZ
aut.researcherGillman, Lennard
dc.contributor.authorChand, Sen_NZ
dc.contributor.authorBollard, Ben_NZ
dc.contributor.authorGillman, Len_NZ
dc.date.accessioned2021-04-12T01:29:43Z
dc.date.available2021-04-12T01:29:43Z
dc.description.abstractThe 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.
dc.identifier.citationAeronautics and Aerospace Open Access Journal. 2020;4(4):148-154. DOI: 10.15406/aaoaj.2020.04.00116
dc.identifier.doi10.15406/aaoaj.2020.04.00116en_NZ
dc.identifier.issn2576-4500en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14113
dc.publisherMedCrave Group, LLCen_NZ
dc.relation.urihttps://medcraveonline.com/AAOAJ/low-cost-remotely-piloted-aircraft-system-rpas-with-multispectral-sensor-for-mapping-and-classification-of-intertidal-biogenic-oyster-reefs.html
dc.rights©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.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectOyster reefs; Intertidal marine ecosystem; Mapping; Object-based image analysis (OBIA); Rule-based classification; Low altitude remote sensing; Remotely piloted aircraft system (RPAS)
dc.titleLow-cost Remotely Piloted Aircraft System (RPAS) With Multispectral Sensor for Mapping and Classification of Intertidal Biogenic Oyster Reefsen_NZ
dc.typeJournal Article
pubs.elements-id400073
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HA Science 2018 PBRF
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