Utilization of large scale surface models for detailed visibility analyses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43310%2F17%3A43915015" target="_blank" >RIV/62156489:43310/17:43915015 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017" target="_blank" >https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017" target="_blank" >10.5194/isprs-archives-XLII-2-W8-53-2017</a>
Alternative languages
Result language
angličtina
Original language name
Utilization of large scale surface models for detailed visibility analyses
Original language description
This article demonstrates utilization of large scale surface models with small spatial resolution and high accuracy, acquired from Unmanned Aerial Vehicle scanning, for visibility analyses. The importance of large scale data for visibility analyses on the local scale, where the detail of the surface model is the most defining factor, is described. The focus is not only the classic Boolean visibility, that is usually determined within GIS, but also on so called extended viewsheds that aims to provide more information about visibility. The case study with examples of visibility analyses was performed on river Opava, near the Ostrava city (Czech Republic). The multiple Boolean viewshed analysis and global horizon viewshed were calculated to determine most prominent features and visibility barriers of the surface. Besides that, the extended viewshed showing angle difference above the local horizon, which describes angular height of the target area above the barrier, is shown. The case study proved that large scale models are appropriate data source for visibility analyses on local level. The discussion summarizes possible future applications and further development directions of visibility analyses.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives)
ISBN
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ISSN
1682-1750
e-ISSN
2194-9034
Number of pages
6
Pages from-to
53-58
Publisher name
Copernicus GmbH
Place of publication
Göttingen
Event location
Hamburk
Event date
Nov 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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