Thematic Accuracy is a measure of how well the attributes (assigned by the analyst) match up to their real-world features. For instance, is a coniferous forest correctly labeled as an Evergreen Forest?
Attribute accuracy is a measure of the probability that the land cover type for any given polygon is properly identified according to the land cover scheme. For example, if a substantial polygon of “High Intensity Developed” land is identified as “Deciduous Woody Wetland” that is a clear instance of categorical error. If 15 percent of all sample polygons for this class are misclassified to “Deciduous Woody Wetland” and other categories, the categorical accuracy for the “High Intensity Developed” class is 85 percent. The remote sensing literature is replete with procedures for measuring attribute accuracy, such as Congalton’s 1991 paper in volume 37 of Remote Sensing of the Environment, A review of assessing the accuracy of classifications of remotely sensed data. Generally, these procedures serve well for current time periods and for relatively small study areas. Past time periods, however, cannot be field verified. Conventional procedures also are difficult to apply to large areas.
Attribute accuracy is a measure of the probability that the land cover type for any given polygon is properly identified according to the land cover scheme. For example, if a substantial polygon of “High Intensity Developed” land is identified as “Deciduous Woody Wetland” that is a clear instance of categorical error. If 15 percent of all sample polygons for this class are misclassified to “Deciduous Woody Wetland” and other categories, the categorical accuracy for the “High Intensity Developed” class is 85 percent. The remote sensing literature is replete with procedures for measuring attribute accuracy, such as Congalton’s 1991 paper in volume 37 of Remote Sensing of the Environment, A review of assessing the accuracy of classifications of remotely sensed data. Generally, these procedures serve well for current time periods and for relatively small study areas. Past time periods, however, cannot be field verified. Conventional procedures also are difficult to apply to large areas. Ac
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- Thematic Accuracy is a measure of how well the attributes (assigned by the analyst) match up to their real-world features. For instance, is a coniferous forest correctly labeled as an Evergreen Forest?
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