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Variation in land cover classification due to individual interpreter assessment

A case study of farmland mapping in Norway

Bibliographic Data

ID9849975
AuthorsKjersti Straume (0000-0001-5631-8016, University of Bergen, corresponding author)
Year2015
Volume115
Issue2
Pages167-184
Publication date2015-07-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGeografisk Tidsskrift-Danish Journal of Geography (JOURNAL)
Journal identifiersISSN: 0016-7223 • E-ISSN: 1903-2471
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00167223.2015.1084887
OpenAlexW2255118517
LanguageIT
References cited20

Visual interpretations of remote sensing images are required when producing land cover/use maps for management purposes. Human assessment is viewed as an advantage during the interpretation process. However, large mapping projects require several interpreters, and the possibility of inter-operator variability during classification work may affect map usage. In this study, five skilled interpreters from the Norwegian Forest and Landscape Institute independently updated the national Norwegian land resource dataset (AR5) in the same two study areas using the same orthophotos. Cross-tabulations were obtained, and class agreement, overall agreement, kappa agreement and fuzzy Kappa (Kfuzzy) were calculated. Most disagreements occurred in fragmented and complex landscapes, particularly with closely related classes. What can be regarded as an acceptable level of agreement depends on the intended map use and should be based on sensitivity tests exploring the effects of interpreter variation on specific applications of the map product. Finally, the threshold is a political decision based on thorough consideration of the economic and non-economic consequences of the variation tolerated in the maps produced

Cartography · Cohen's kappa · Cover (algebra · Environmental resource management · Geography · Interpreter · Kappa · Land cover · Land use · Linguistics · Machine learning · Norwegian · Orthophoto · Variation (astronomy · Artificial Intelligence · Computer Science · Engineering · Environmental Science · Geographic Information Systems Studies · Land Use and Ecosystem Services · Soil and Land Suitability Analysis

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Citation velocityhistorical
Highly citedNo

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