Quantification of spatial and thematic uncertainty in the application of underwater video for benthic habitat mapping


Autoria(s): Rattray, A; Ierodiaconou, D; Monk, J; Laurenson, L.J.B; Kennedy, P
Data(s)

01/01/2014

Resumo

This study presents an analysis of the application of underwater video data collected for training and validating benthic habitat distribution models. Specifically, we quantify the two major sources of error pertaining to collection of this type of reference data. A theoretical spatial error budget is developed for a positioning system used to co-register video frames to their corresponding locations at the seafloor. Second, we compare interpretation variability among trained operators assessing the same video frames between times over three hierarchical levels of a benthic classification scheme. Propagated error in the positioning system described was found to be highly correlated with depth of operation and varies from 1.5m near the surface to 5.7m in 100m of water. In order of decreasing classification hierarchy, mean overall observer agreement was found to be 98% (range 6%), 82% (range 12%) and 75% (range 17%) for the 2, 4, and 6 class levels of the scheme, respectively. Patterns in between-observer variation are related to the level of detail imposed by each hierarchical level of the classification scheme, the feature of interest, and to the amount of observer experience. © 2014 Copyright © Taylor & Francis Group, LLC.

Identificador

http://hdl.handle.net/10536/DRO/DU:30069900

Idioma(s)

eng

Publicador

Taylor & Francis

Relação

http://dro.deakin.edu.au/eserv/DU:30069900/rattray-quantificationof-2014-.pdf

http://www.dx.doi.org/10.1080/01490419.2013.877105

Palavras-Chave #Habitat mapping #observer bias #spatial uncertainty #underwater video #USBL #Science & Technology #Physical Sciences #Technology #Geochemistry & Geophysics #Oceanography #Remote Sensing #LAND-COVER CHANGE #GROUND REFERENCE DATA #ACCURACY ASSESSMENT #MULTIBEAM BACKSCATTER #CLASSIFICATION #ECOLOGY #ERROR #MAPS #UK
Tipo

Journal Article