Workflow for Analysis of Enormous Amounts of Geographical Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F15%3A%230000446" target="_blank" >RIV/63468352:_____/15:#0000446 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26110/15:PU118299

Result on the web

<a href="http://dx.doi.org/10.1166/asl.2015.6540" target="_blank" >http://dx.doi.org/10.1166/asl.2015.6540</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1166/asl.2015.6540" target="_blank" >10.1166/asl.2015.6540</a>

Result language

angličtina

Original language name

Workflow for Analysis of Enormous Amounts of Geographical Data

Original language description

The article describes the workflow of data analysis of the storage of underground utilities under certain types of terrain surfaces on extensive territories. The process of data analysis that is based on the classification uses raster datasets of orthophoto, vector datasets of Fundamental Base of Geographic Data (ZABAGED) and vector datasets of the route of line of underground engineering networks. The aim is the mining of the maximum information from the raster image of orthophoto and its transfer to the database and vector form. The advantage of workflow is a high degree of automation of the whole process and the efficiency of use especially in large areas. The workflow was tested in the project of data analysis of storage of gas facilities under certain types of terrain surface in the Czech Republic (CR). The authors solved this project for the GasNet, Ltd. Company which is a part of a RWE group in the Czech Republic. Input data were datasets of orthophoto with a resolution of 25 cm/pixel, layers of communications of ZABAGED CR and vector sets of the route of line of underground engineering networks. Due to the territorial coverage of the CR with the area of 64,350 km2, these were massive tasks with total data volume of 500 GB. The data analysis was carried out in the assigned created application in Python language with support for ESRI libraries and also in ArcGIS 10.0 environment. The results demonstrated the high efficiency of the workflow and the low error rate in the range of 2% - 3% was achieved over the whole modelled area.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2015

Confidentiality

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

Name of the periodical

ADV SCI LETT, 2015

ISSN

1936-6612

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

4

Pages from-to

3680-3683

UT code for WoS article

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EID of the result in the Scopus database

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