Impact of input data (in)accuracy on overestimation of visible area in digital viewshed models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A76789" target="_blank" >RIV/60460709:41330/18:76789 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.7717/peerj.4835" target="_blank" >http://dx.doi.org/10.7717/peerj.4835</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7717/peerj.4835" target="_blank" >10.7717/peerj.4835</a>
Alternative languages
Result language
angličtina
Original language name
Impact of input data (in)accuracy on overestimation of visible area in digital viewshed models
Original language description
Viewshed analysis is a GIS tool in standard use for more than two decades to perform numerous scientific and practical tasks. The reliability of the resulting viewshed model depends on the computational algorithm and the quality of the input digital surface model (DSM). Although many studies have dealt with improving viewshed algorithms, only a few studies have focused on the effect of the spatial accuracy of input data. Here, we compare simple binary viewshed models based on DSMs having varying levels of detail with viewshed models created using LiDAR DSM. The compared DSMs were calculated as the sums of digital terrain models (DTMs) and layers of forests and buildings with expertly assigned heights. Both elevation data and the visibility obstacle layers were prepared using digital vector maps differing in scale (1:5,000, 1:25,000, and 1:500,000) as well as using a combination of a LiDAR DTM with objects vectorized on an orthophotomap. All analyses were performed for 104 sample locations of 5 km(2),
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PeerJ
ISSN
2167-8359
e-ISSN
2167-8359
Volume of the periodical
6
Issue of the periodical within the volume
e4835
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000434229400007
EID of the result in the Scopus database
2-s2.0-85047333079