A new GIS-compatible methodology for visibility analysis in digital surface models of earth sites
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F21%3A10247615" target="_blank" >RIV/61989100:27350/21:10247615 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27360/21:10247615 RIV/61989100:27740/21:10247615
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1674987120302498?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1674987120302498?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.gsf.2020.11.006" target="_blank" >10.1016/j.gsf.2020.11.006</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A new GIS-compatible methodology for visibility analysis in digital surface models of earth sites
Popis výsledku v původním jazyce
As a GIS tool, visibility analysis is used in many areas to evaluate both visible and non-visible places. Visibility analysis builds on a digital surface model describing the terrain morphology, including the position and shapes of all objects that can sometimes act as visibility barriers. However, some barriers, for example vegetation, may be permeable to a certain degree. Despite extensive research and use of visibility analysis in different areas, standard GIS tools do not take permeability into account. This article presents a new method to calculate visibility through partly permeable obstacles. The method is based on a quasi-Monte Carlo simulation with 100 iterations of visibility calculation. Each iteration result represents 1% of vegetation permeability, which can thus range from 1% to 100% visibility behind vegetation obstacles. The main advantage of the method is greater accuracy of visibility results and easy implementation on any GIS software. The incorporation of the proposed method in GIS software would facilitate work in many fields, such as architecture, archaeology, radio communication, and the military. (C) 2020 Elsevier B.V.
Název v anglickém jazyce
A new GIS-compatible methodology for visibility analysis in digital surface models of earth sites
Popis výsledku anglicky
As a GIS tool, visibility analysis is used in many areas to evaluate both visible and non-visible places. Visibility analysis builds on a digital surface model describing the terrain morphology, including the position and shapes of all objects that can sometimes act as visibility barriers. However, some barriers, for example vegetation, may be permeable to a certain degree. Despite extensive research and use of visibility analysis in different areas, standard GIS tools do not take permeability into account. This article presents a new method to calculate visibility through partly permeable obstacles. The method is based on a quasi-Monte Carlo simulation with 100 iterations of visibility calculation. Each iteration result represents 1% of vegetation permeability, which can thus range from 1% to 100% visibility behind vegetation obstacles. The main advantage of the method is greater accuracy of visibility results and easy implementation on any GIS software. The incorporation of the proposed method in GIS software would facilitate work in many fields, such as architecture, archaeology, radio communication, and the military. (C) 2020 Elsevier B.V.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Geoscience Frontiers
ISSN
1674-9871
e-ISSN
—
Svazek periodika
12
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CN - Čínská lidová republika
Počet stran výsledku
13
Strana od-do
—
Kód UT WoS článku
000654356800002
EID výsledku v databázi Scopus
2-s2.0-85100149242