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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/8998

Title: Evaluation of the controls affecting the quality of spatial data derived from historical aerial photographs
Authors: Walstra, Jan
Chandler, Jim H.
Dixon, Neil
Wackrow, Rene
Keywords: Digital photogrammetry
Historical aerial photograph
Data quality
Error assessment
Issue Date: 2011
Publisher: © John Wiley & Sons, Ltd.
Citation: WALSTRA, J., CHANDLER, J.H., DIXON, N. ...et al., 2011. Evaluation of the controls affecting the quality of spatial data derived from historical aerial photographs. Earth Surface Processes and Landforms, 36 (7), pp. 853–863.
Abstract: This paper is concerned with the fundamental controls affecting the quality of data derived from historical aerial photographs typically used in geomorphological studies. A short review is provided of error sources introduced into the photogrammetric workflow. Data-sets from two case-studies provided a variety of source data and hence a good opportunity to evaluate the influence of the quality of archival material on the accuracy of coordinated points. Based on the statistical weights assigned to the measurements, precision of the data was estimated a priori, while residuals of independent checkpoints provided an a posteriori measure of data accuracy. Systematic discrepancies between the two values indicated that the routinely used stochastic model was incorrect and overoptimistic. Optimized weighting factors appeared significantly larger than previously used (and accepted) values. A test of repeat measurements explained the large uncertainties associated with the use of natural objects for ground control. This showed that the random errors not only appeared to be much larger than values accepted for appropriately controlled and targeted photogrammetric networks, but also small undetected gross errors were induced through the ‘misidentification’ of points. It is suggested that the effects of such ‘misidentifications’ should be reflected in the stochastic model through selection of more realistic weighting factors of both image and ground measurements. Using the optimized weighting factors, the accuracy of derived data can now be more truly estimated, allowing the suitability of the imagery to be judged before purchase and processing.
Description: This article was published in the journal, Earth Surface Processes and Landforms [© John Wiley & Sons, Ltd.] and the definitive version is available at: http://dx.doi.org/10.1002/esp.2111
Version: Accepted for publication
DOI: 10.1002/esp.2111
URI: https://dspace.lboro.ac.uk/2134/8998
Publisher Link: http://dx.doi.org/10.1002/esp.2111
ISSN: 1096-9837
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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