How does data accuracy influence the reliability of digital viewshed models? A case study with wind turbines
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F15%3A68221" target="_blank" >RIV/60460709:41330/15:68221 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.apgeog.2015.09.005" target="_blank" >http://dx.doi.org/10.1016/j.apgeog.2015.09.005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.apgeog.2015.09.005" target="_blank" >10.1016/j.apgeog.2015.09.005</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
How does data accuracy influence the reliability of digital viewshed models? A case study with wind turbines
Popis výsledku v původním jazyce
Viewshed analysis is a GIS tool commonly used in a number of research and practical spatial analyses. Input data and their spatial uncertainty are important aspects affecting analysis reliability. Given that inappropriately selected input geodata can produce imprecise visibility models and as a result cause incorrect spatial decisions, quantifying the effect of this uncertainty on resulting visibility models is important for the models' subsequent use. The objective of our study was to evaluate the suitability of digital surface models with varying levels of detail (a LiDAR-based model and models based upon vector data at differing scales) for simple (binary) viewshed analysis of wind turbines (three wind parks each containing 3?6 turbines). Visibilitymodels based upon this input data were compared with actual visibility from 150 control points at random locations. The study results confirmed the prediction that the viewshed model based on more precise input data corresponded more clo
Název v anglickém jazyce
How does data accuracy influence the reliability of digital viewshed models? A case study with wind turbines
Popis výsledku anglicky
Viewshed analysis is a GIS tool commonly used in a number of research and practical spatial analyses. Input data and their spatial uncertainty are important aspects affecting analysis reliability. Given that inappropriately selected input geodata can produce imprecise visibility models and as a result cause incorrect spatial decisions, quantifying the effect of this uncertainty on resulting visibility models is important for the models' subsequent use. The objective of our study was to evaluate the suitability of digital surface models with varying levels of detail (a LiDAR-based model and models based upon vector data at differing scales) for simple (binary) viewshed analysis of wind turbines (three wind parks each containing 3?6 turbines). Visibilitymodels based upon this input data were compared with actual visibility from 150 control points at random locations. The study results confirmed the prediction that the viewshed model based on more precise input data corresponded more clo
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
DO - Ochrana krajinných území
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Applied Geography
ISSN
0143-6228
e-ISSN
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Svazek periodika
2015
Číslo periodika v rámci svazku
64
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
9
Strana od-do
46-54
Kód UT WoS článku
000366225000005
EID výsledku v databázi Scopus
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