Download Assessing the Accuracy of Remotely Sensed Data: Principles by Russell G. Congalton PDF

By Russell G. Congalton

Congalton does a superb activity offering distant sensing accuracy overview ideas. as well as the speculation, he presents useful examples to assist in utilizing the speculation to actual international situations.

The publication turns out manner over-priced for its measurement.

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Extra resources for Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Second Edition (Mapping Science)

Sample text

645 (Sv). † Some mapping texts use the subscript “z” to denote vertical error. Because this text (and most statistics texts) uses the variable Zi to denote the standard normal variable, we use the subscript “v” to denote vertical error. 8 Areas and Zi values of the standard normal distribution corresponding to the probability levels of various map accuracy standards. The Principles of Error Theory and Cartographic Applications report is the first report to propose use of the Zi(Sv) interval as a standard in estimating positional accuracy (Greenwalt and Schultz, 1962, 1968).

Since the development of the first standards in 1942, each new standard has introduced new concepts and interpreted old concepts in new ways. As a result, the language of positional accuracy assessment is often confusing, and the equations that comprise the accuracy assessment standards are, unfortunately, sometimes incorrect. What is Positional Accuracy? ” All locations on maps and georeferenced images are expressed by a set of values: x- and y-coordinates for horizontal location. Many data sets also include elevations, which are represented by the letter z.

1 presents an example of horizontal positional inaccuracy in which an inaccurate road layer is displayed over the top of an ortho-corrected digital image. The reference data, which have been “accepted as accurate,” are survey points indicated by a crosshair on the figure. , there are positional errors)—the roads are shifted to the north and west of their “true” location, as determined by the survey points. 1 Illustration of positional errors in a road map (in white) compared to the image, which is assumed to be accurate.

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