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

By Russell G. Congalton

Congalton does a very good activity proposing distant sensing accuracy evaluation techniques. as well as the idea, he offers sensible examples to assist in utilizing the speculation to actual global situations.

The e-book turns out approach over-priced for its dimension.

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

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The Greenwalt and Schultz standard does not stipulate a maximum error. Rather, it calculates the probable maximum error interval around the mean error from the sample data. Additionally, Greenwalt and Schultz does not specify 90% as the only probability level to be employed. Instead, it shows how to estimate the distribution of errors under various probability levels and provides tables for converting from one probability level to another. ASPRS Interim Accuracy Standards for Large-Scale Maps Similar to NMAS, ASPRS (ASPRS, 1989) standards stipulate a maximum distance beyond which errors may not exceed.

Rather, it is an estimate of the maximum interval of error that will exist at a specified probability assuming that mean error equals zero and the errors are normally distributed. Unfortunately, spatial errors are often biased and interrelated, bringing the assumption of normality into question. ” However, the interval Zi (Sz) meets this definition only when RMSE v equals zero. The estimated size of elevation errors which will not be exceeded at a probability level specified by Zi is RMSEv ± Zi (Sz).

Additionally, the standards state the requirements for spatial accuracy, but only briefly discuss procedures for collecting samples to determine whether or not those standards have been met. Thus, while the accuracy percentage was standardized, the procedures for measuring accuracy were not. In the 1960s a precursor to the present-day National GeoSpatial-Intellegence Agency (NGA), the Aeronautical Chart and Information Center, printed a report entitled Principles of Error Theory and Cartographic Applications (Greenwalt and Schultz, 1962, 1968) that meticulously laid the statistical foundation for estimating the distribution of positional map error from a sample of reference points.

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