Causes and consequences of error in digital elevation models
All digital data contain error and many are uncertain. Digital models of elevation surfaces consist of files containing large numbers of measurements representing the height of the surface of the earth, and therefore a proportion of those measurements are very likely to be subject to some level of e...
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| Published in | Progress in physical geography Vol. 30; no. 4; pp. 467 - 489 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Thousand Oaks, CA
SAGE Publications
01.08.2006
Turpin Sage Publications Sage Publications Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0309-1333 1477-0296 1477-0296 |
| DOI | 10.1191/0309133306pp492ra |
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| Abstract | All digital data contain error and many are uncertain. Digital models of elevation surfaces consist of files containing large numbers of measurements representing the height of the surface of the earth, and therefore a proportion of those measurements are very likely to be subject to some level of error and uncertainty. The collection and handling of such data and their associated uncertainties has been a subject of considerable research, which has focused largely upon the description of the effects of interpolation and resolution uncertainties, as well as modelling the occurrence of errors. However, digital models of elevation derived from new technologies employing active methods of laser and radar ranging are becoming more widespread, and past research will need to be re-evaluated in the near future to accommodate such new data products. In this paper we review the source and nature of errors in digital models of elevation, and in the derivatives of such models. We examine the correction of errors and assessment of fitness for use, and finally we identify some priorities for future research. |
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| AbstractList | All digital data contain error and many are uncertain. Digital models of elevation surfaces consist of files containing large numbers of measurements representing the height of the surface of the earth, and therefore a proportion of those measurements are very likely to be subject to some level of error and uncertainty. The collection and handling of such data and their associated uncertainties has been a subject of considerable research, which has focused largely upon the description of the effects of interpolation and resolution uncertainties, as well as modelling the occurrence of errors. However, digital models of elevation derived from new technologies employing active methods of laser and radar ranging are becoming more widespread, and past research will need to be re-evaluated in the near future to accommodate such new data products. In this paper we review the source and nature of errors in digital models of elevation, and in the derivatives of such models. We examine the correction of errors and assessment of fitness for use, and finally we identify some priorities for future research. All digital data contain error and many are uncertain. Digital models of elevation surfaces consist of files containing large numbers of measurements representing the height of the surface of the earth, and therefore a proportion of those measurements are very likely to be subject to some level of error and uncertainty. The collection and handling of such data and their associated uncertainties has been a subject of considerable research, which has focused largely upon the description of the effects of interpolation and resolution uncertainties, as well as modelling the occurrence of errors. However, digital models of elevation derived from new technologies employing active methods of laser and radar ranging are becoming more widespread, and past research will need to be re-evaluated in the near future to accommodate such new data products. In this paper we review the source and nature of errors in digital models of elevation, and in the derivatives of such models. We examine the correction of errors and assessment of fitness for use, and finally we identify some priorities for future research. [PUBLICATION ABSTRACT] |
| Author | Fisher, Peter F. Tate, Nicholas J. |
| Author_xml | – sequence: 1 givenname: Peter F. surname: Fisher fullname: Fisher, Peter F. organization: Department of Information Science, City University, Northampton Square, London EC1V 0HB, UK – sequence: 2 givenname: Nicholas J. surname: Tate fullname: Tate, Nicholas J. organization: Department of Geography, University of Leicester, University Road, Leicester LE1 7RH, UK |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18049483$$DView record in Pascal Francis http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18505094$$DView record in Pascal Francis |
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| Keywords | fitness for use visualization error modelling digital elevation model uncertainty digital surface model laser methods technology Earth interpolation new data corrections collections radar methods errors Physical geography Methodology Model Error Digital elevation model Typology Bibliography |
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| SubjectTerms | Altitude Areal geology. Maps Bgi / Prodig Earth sciences Earth, ocean, space Elevation Errors Exact sciences and technology Geography Geologic maps, cartography Geomorphology Geomorphology, landform evolution Methods and techniques Physical geography Surficial geology Technological change |
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| Title | Causes and consequences of error in digital elevation models |
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