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Status of land cover classification accuracy assessment

Status of land cover classification accuracy assessment
Status of land cover classification accuracy assessment
The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper briefly reviews the background and methods of classification accuracy assessment that are commonly used and recommended in the research literature. It is, however, evident that the research community does not universally adopt the approaches that are often recommended to it, perhaps a reflection of the problems associated with accuracy assessment, and typically fails to achieve the accuracy targets commonly specified. The community often tends to use, unquestioningly, techniques based on the confusion matrix for which the correct application and interpretation requires the satisfaction of often untenable assumptions (e.g., perfect coregistration of data sets) and the provision of rarely conveyed information (e.g., sampling design for ground data acquisition). Eight broad problem areas that currently limit the ability to appropriately assess, document, and use the accuracy of thematic maps derived from remote sensing are explored. The implications of these problems are that it is unlikely that a single standardized method of accuracy assessment and reporting can be identified, but some possible directions for future research that may facilitate accuracy assessment are highlighted.
0034-4257
185-201
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37

Foody, G.M. (2002) Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80 (1), 185-201. (doi:10.1016/S0034-4257(01)00295-4).

Record type: Article

Abstract

The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper briefly reviews the background and methods of classification accuracy assessment that are commonly used and recommended in the research literature. It is, however, evident that the research community does not universally adopt the approaches that are often recommended to it, perhaps a reflection of the problems associated with accuracy assessment, and typically fails to achieve the accuracy targets commonly specified. The community often tends to use, unquestioningly, techniques based on the confusion matrix for which the correct application and interpretation requires the satisfaction of often untenable assumptions (e.g., perfect coregistration of data sets) and the provision of rarely conveyed information (e.g., sampling design for ground data acquisition). Eight broad problem areas that currently limit the ability to appropriately assess, document, and use the accuracy of thematic maps derived from remote sensing are explored. The implications of these problems are that it is unlikely that a single standardized method of accuracy assessment and reporting can be identified, but some possible directions for future research that may facilitate accuracy assessment are highlighted.

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Published date: 2002

Identifiers

Local EPrints ID: 15173
URI: http://eprints.soton.ac.uk/id/eprint/15173
ISSN: 0034-4257
PURE UUID: 831a5d27-64ba-4bf7-bbcd-1afb1c5c14b1

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Date deposited: 11 Apr 2005
Last modified: 15 Mar 2024 05:35

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Author: G.M. Foody

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