Sampling designs for accuracy assessment of land cover

TLDR

Land cover classification accuracy measures how well a map matches reference data, and traditional sampling designs have sufficed for error‑matrix analyses but now must accommodate objectives such as composition and pattern accuracy, requiring careful trade‑offs. This paper reviews the sampling designs employed in accuracy assessment and evaluates their suitability for contemporary land cover mapping goals. The authors describe design features that enable simultaneous assessment of multiple accuracy objectives.

Abstract

The accuracy of a land cover classification is the degree to which the map land cover agrees with the reference land cover classification (i.e. ground condition). The basic sampling designs historically implemented for map accuracy assessment have served well for the error matrix based analyses traditionally used. But contemporary applications of land cover maps place greater demands on accuracy assessment, and sampling designs must be constructed to target objectives such as accuracy of land cover composition and landscape pattern. Sampling designs differ in their suitability to achieve different objectives, and trade-offs among desirable sampling design criteria must be recognized and accommodated when selecting a design. An overview is presented of the sampling designs used in accuracy assessment, and the status of these designs is appraised for meeting current needs. Sampling design features that facilitate multiple-objective accuracy assessments are described.