Spatiotemporal Visualisation of PS InSAR Generated Space-Time Series Describing Large Areal Land Deformations Using Diagram Map with Spiral Graph

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F22%3A10249856" target="_blank" >RIV/61989100:27350/22:10249856 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2072-4292/14/9/2184" target="_blank" >https://www.mdpi.com/2072-4292/14/9/2184</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs14092184" target="_blank" >10.3390/rs14092184</a>

Result language

angličtina

Original language name

Spatiotemporal Visualisation of PS InSAR Generated Space-Time Series Describing Large Areal Land Deformations Using Diagram Map with Spiral Graph

Original language description

The space-time series carry information on temporal and spatial patterns in observed phenomena. The reported research integrates computational, visual and cartographic methods to support visual analysis of space-time series describing terrain surface movement. The proposed methodology for space-time series visualisation can support their analysts in investigating space-time patterns using transformation, clustering, filtration and visualisation. The presented approach involves spiral graphs for representation time dimension and cartographic visualisation through proportional point symbol map for representation of spatial dimension. The result is an intuitive visualisation of space-time series, conveying the sought-after spatio-temporal information. For practical tests, we used space-time series obtained by permanent scatterers interferometry (PS InSAR) to monitor the Earth&apos;s surface movement above the underground gas storage (UGS) Tvrdonice, the Czech Republic. An UGS is characterised by periodic injection and withdrawal of natural gas, which induces periodic movement of the terrain above it. We have verified that our visualisation method provides the required pattern information and is easy to use.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10500 - Earth and related environmental sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

2072-4292

Volume of the periodical

14

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

26

Pages from-to

26

UT code for WoS article

000794741700001

EID of the result in the Scopus database

2-s2.0-85130037118