Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Chapter 21: Accuracy Assessment
cross validation, design-based inference, error matrix, land-cover change, probability sampling, reference data error.
Remote sensing can be used to generate products representing a variety of features of the Earth's environment. These products may consist of categorical outputs such as maps of land-cover or continuous outputs such as maps of surface temperature or leaf area index. Assessing the accuracy of these products is critical to understanding their potential utility and the possible impact of error in the product on the intended application. Accuracy assessment is an important element of ‘validation’, where validation is defined as ‘the process of assessing by independent means the quality of the data products derived from the system outputs’ (Justice et al. 2000, p. 3383).
Accuracy is defined as the degree ...