A coefficient of agreement as a measure of thematic classification accuracy.

The classification error matrix typically contains tabulated results of accuracy evaluation for a thematic classification, such as a land-use and land-cover map. Diagonal elements of the matrix represent counts correct. The usual designation of classification accuracy has been total percent correct. Nondiagonal elements of the matrix have usually been neglected. A coefficient of agreement is determined for the interpreted map as a whole, and individually for each interpreted category. These coefficients utilize all cell values in the matrix. A conditional coefficient of agreement for individual categories is compared to other methods for expressing category accuracy which have already been published in remote sensing literature. A Coefficient of Agreement as a Measure of Thematic Classification Accuracy

[1]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[2]  L. A. Goodman.  The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or without Missing Entries , 1968 .

[3]  A. E. Maxwell,et al.  Deriving coefficients of reliability and agreement for ratings. , 1968, The British journal of mathematical and statistical psychology.

[4]  Brian Everitt,et al.  MOMENTS OF THE STATISTICS KAPPA AND WEIGHTED KAPPA , 1968 .

[5]  B. Everitt,et al.  Large sample standard errors of kappa and weighted kappa. , 1969 .

[6]  K. Krippendorff.  Bivariate Agreement Coefficients for Reliability of Data , 1970 .

[7]  P. H. Swain,et al.  Detection of southern corn leaf blight by remote sensing techniques. , 1971 .

[8]  R. Light.  Measures of response agreement for qualitative data: Some generalizations and alternatives. , 1971 .

[9]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .

[10]  J. Fleiss.  Measuring agreement between two judges on the presence or absence of a trait. , 1975, Biometrics.

[11]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[12]  Goksel Türk,et al.  Gt index: A measure of the success of prediction , 1979 .

[13]  U. Helldén,et al.  A test of landsat-2 imagery and digital data for thematic mapping illustrated by an environmental study in northern Kenya, Lund University , 1980 .

[14]  John R. G. Townshend,et al.  The Landsat Tutorial Workbook: Basics of Satellite Remote Sensing , 1984 .