Workflow for Analysis of Enormous Amounts of Geographical Data

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216305:26110/15:PU118299

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Workflow for Analysis of Enormous Amounts of Geographical Data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Workflow for Analysis of Enormous Amounts of Geographical Data

Popis výsledku anglicky

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.

Druh

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

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

ADV SCI LETT, 2015

ISSN

1936-6612

e-ISSN

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Svazek periodika

21

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

4

Strana od-do

3680-3683

Kód UT WoS článku

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EID výsledku v databázi Scopus

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