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Statements

Subject Item
n2:RIV%2F61989592%3A15310%2F12%3A33143220%21RIV13-MSM-15310___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
Digital elevation models (DEM) are models that approximate a topographical surface. These models will contain both random and systematic errors that create uncertainty, or unreliability, in elevation measurements. Uncertainty can be defined as a lack of knowledge about the reliability of a measurement, whereas error is the departure of a measurement from its true value. This error is hardly quantifiable very often and is defined as the difference between reality and a representation of reality. In the other hand, quantifying data uncertainty is an important part of spatial analysis, and researchers are still developing methods to assess, describe and reduce random and systematic DEM uncertainty. The common methods used for the assessment of the accuracy of digital elevation models - DEMs (like root mean square error or mean absolute error) are only global non-spatial measures. Their unquestionable advantages are their easy calculation and interpretation. However, as to environmental applications, the knowledge of spatial error variability is very important. Many authors claim that the extent of errors in a DEM depends on a character of a terrain and is spatially variable. The attempts to express the magnitude of error in a space led to the emergence of different methods for spatial visualization of DEM accuracy. Visualizations bring quick and easy method how to be informed about precision of the model and how to understand the nature of the data. The uncertainty has to be also incorporate for deeper understanding of the model in the light of the previous statement. Several visualization techniques for portrayal uncertainty in DEM have been developed, but there is a gap between transferring knowledge between researchers and final users due to lack of knowledge about the effectiveness of these visualizations. An approach incorporating effectiveness of uncertainty visualization on the decision making processes is still missing. Digital elevation models (DEM) are models that approximate a topographical surface. These models will contain both random and systematic errors that create uncertainty, or unreliability, in elevation measurements. Uncertainty can be defined as a lack of knowledge about the reliability of a measurement, whereas error is the departure of a measurement from its true value. This error is hardly quantifiable very often and is defined as the difference between reality and a representation of reality. In the other hand, quantifying data uncertainty is an important part of spatial analysis, and researchers are still developing methods to assess, describe and reduce random and systematic DEM uncertainty. The common methods used for the assessment of the accuracy of digital elevation models - DEMs (like root mean square error or mean absolute error) are only global non-spatial measures. Their unquestionable advantages are their easy calculation and interpretation. However, as to environmental applications, the knowledge of spatial error variability is very important. Many authors claim that the extent of errors in a DEM depends on a character of a terrain and is spatially variable. The attempts to express the magnitude of error in a space led to the emergence of different methods for spatial visualization of DEM accuracy. Visualizations bring quick and easy method how to be informed about precision of the model and how to understand the nature of the data. The uncertainty has to be also incorporate for deeper understanding of the model in the light of the previous statement. Several visualization techniques for portrayal uncertainty in DEM have been developed, but there is a gap between transferring knowledge between researchers and final users due to lack of knowledge about the effectiveness of these visualizations. An approach incorporating effectiveness of uncertainty visualization on the decision making processes is still missing.
dcterms:title
The spatial expression of an uncertainty for the quality assessment of the digital elevation models The spatial expression of an uncertainty for the quality assessment of the digital elevation models
skos:prefLabel
The spatial expression of an uncertainty for the quality assessment of the digital elevation models The spatial expression of an uncertainty for the quality assessment of the digital elevation models
skos:notation
RIV/61989592:15310/12:33143220!RIV13-MSM-15310___
n5:predkladatel
n6:orjk%3A15310
n3:aktivita
n12:S
n3:aktivity
S
n3:dodaniDat
n4:2013
n3:domaciTvurceVysledku
n13:6130348 n13:5975344
n3:druhVysledku
n16:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
170178
n3:idVysledku
RIV/61989592:15310/12:33143220
n3:jazykVysledku
n19:eng
n3:klicovaSlova
quality assessment; DEM; spatial visualization; error; uncertainty
n3:klicoveSlovo
n9:error n9:quality%20assessment n9:DEM n9:spatial%20visualization n9:uncertainty
n3:kontrolniKodProRIV
[13194EFAC04A]
n3:mistoKonaniAkce
Albena, Bulgaria
n3:mistoVydani
Sofia
n3:nazevZdroje
Conference proceedings 12th International Multidisciplinary Scientific GeoConference, Volume II
n3:obor
n17:DE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2012
n3:tvurceVysledku
Brus, Jan Svobodová, Jana
n3:typAkce
n15:WRD
n3:zahajeniAkce
2012-06-17+02:00
s:issn
1314-2704
s:numberOfPages
8
n21:doi
10.5593/SGEM2012/S11.V3010
n20:hasPublisher
STEF92 Technology Ltd.
n14:isbn
978-954-91818-3-8
n18:organizacniJednotka
15310