Deformation monitoring using InSAR and artificial reflectors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00192047" target="_blank" >RIV/68407700:21110/13:00192047 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.vsb.cz/gis_ostrava/" target="_blank" >http://www.vsb.cz/gis_ostrava/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Deformation monitoring using InSAR and artificial reflectors

Popis výsledku v původním jazyce

The SAR interferometry (InSAR) method can be used to create digital elevation model (DEM), or to monitor terrain deformation or some features of the atmosphere. The method uses several satellite radar images, to form interferograms from pairs of them. The interferogram always contains several components: the flat Earth, topography, deformations, atmospheric influence and noise. The aim is typically to extract one of the components and therefore, it is possible to estimate and subtract (or neglect) the others. A big problem of this method is so-called decorrelation, i.e. if the noise is significantly higher than other components. Mostly, it happens in vegetated areas - forests, agricultural fields, meadows, mostly during late spring, summer and early autumn. Such vegetated areas can be monitored only during winter (if no snow is laying), but with lower accuracy. Much better results can be gained in urban areas, which are stable in time (in the order of centimetres). We deal with monitor

Název v anglickém jazyce

Deformation monitoring using InSAR and artificial reflectors

Popis výsledku anglicky

The SAR interferometry (InSAR) method can be used to create digital elevation model (DEM), or to monitor terrain deformation or some features of the atmosphere. The method uses several satellite radar images, to form interferograms from pairs of them. The interferogram always contains several components: the flat Earth, topography, deformations, atmospheric influence and noise. The aim is typically to extract one of the components and therefore, it is possible to estimate and subtract (or neglect) the others. A big problem of this method is so-called decorrelation, i.e. if the noise is significantly higher than other components. Mostly, it happens in vegetated areas - forests, agricultural fields, meadows, mostly during late spring, summer and early autumn. Such vegetated areas can be monitored only during winter (if no snow is laying), but with lower accuracy. Much better results can be gained in urban areas, which are stable in time (in the order of centimetres). We deal with monitor

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

<a href="/cs/project/OC10011" target="_blank" >OC10011: Modelování urbanizovaných území s cílem snížit negativní vlivy lidské činnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Symposium GIS Ostrava 2013: Geoinformatics for City Transformations

ISSN

1213-239X

e-ISSN

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Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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