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TitleMapping and monitoring temperate intertidal habitats: an object-based approach
DownloadDownload (whole publication)
AuthorLightfoot, P; Scott, C; Polunin, N; Fitzsimmons, C
SourceProgram and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; by Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Geological Survey of Canada, Open File 8295, 2017 p. 79, https://doi.org/10.4095/305887 (Open Access)
LinksGeoHab 2017
Year2017
PublisherNatural Resources Canada
Meeting2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; May 1-4, 2017
Documentopen file
Lang.English
Mediaon-line; digital
RelatedThis publication is contained in Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; (2017). Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada, Geological Survey of Canada, Open File 8295
File formatpdf
Subjectsmarine geology; surficial geology/geomorphology; environmental geology; geophysics; mapping techniques; oceanography; marine environments; coastal studies; conservation; marine organisms; marine ecology; resource management; biological communities; environmental studies; ecosystems; intertidal environment; remote sensing; planning; geological mapping; geological mapping techniques; biology; habitat mapping; habitat conservation; habitat management; monitoring; marine protected areas; object-based image analysis; LiDAR; unmanned aerial vehicles
ProgramOcean Management Geoscience, Offshore Geoscience
Released2017 09 26
AbstractIntertidal habitat maps are needed at both fine and coarse scales to monitor change and inform conservation and management, but current methods of field survey and expert interpretation of aerial imagery can be time-consuming and subjective. Object-based image analysis (OBIA) of remote sensing data is an increasingly employed method for producing habitat or land cover maps. Users create automated workflows to segment imagery, creating ecologically meaningful objects which are then classified based on their spectral or geometric properties, relationships to other objects and contextual data.
Our research evaluates the potential of OBIA and remote sensing data for planning, managing and monitoring temperate intertidal Marine Protected Areas. We developed and tested OBIA workflows for interpreting ultra-high resolution imagery collected by an unmanned aerial vehicle (UAV) to map intertidal habitats at two thematic scales, comparing the accuracy, consistency and reproducibility of three supervised classification approaches. To evaluate the change-detection capability of OBIA in the intertidal environment, we developed and compared two OBIA methods for quantifying change in extent and distribution of habitats from freely available aerial and LiDAR time series data.
This talk will present and discuss our findings. We demonstrate that OBIA offers robust methods of mapping intertidal habitats from ultra-high resolution UAV imagery (mean accuracy 83.4% ± 3.8%) and lower resolution aerial and LiDAR imagery (mean accuracy 71.4% ± 1.6%) and of detecting change at different levels of sensitivity. Developed in partnership with the responsible monitoring authorities, OBIA methods could integrate ecological knowledge and remote sensing data as a basis for cost-effective intertidal monitoring protocols, providing solutions both for large-scale rapid assessment and more targeted, detailed surveys.
GEOSCAN ID305887