Publication detail

Workflow for Analysis of Enormous Amounts of Geographical Data

BARTONĚK, D. BUREŠ, J. OPATŘILOVÁ, I.

Original Title

Workflow for Analysis of Enormous Amounts of Geographical Data

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

: image classification, spatial analysis, GIS

Authors

BARTONĚK, D.; BUREŠ, J.; OPATŘILOVÁ, I.

RIV year

2015

Released

1. 12. 2015

Publisher

American Scientific Publishers

Location

American Scientific Publishers, 26650 The Old Road, Suite 208 ,Valencia, California 91381-0751, USA

ISBN

1936-6612

Periodical

ADV SCI LETT

Year of study

21

Number

12

State

United States of America

Pages from

3680

Pages to

3683

Pages count

4

URL

http://www.aspbs.com/science/contents-science2015.htm

BibTex

@article{BUT122900,
  author="Dalibor {Bartoněk} and Jiří {Bureš} and Irena {Opatřilová}",
  title="Workflow for Analysis of Enormous Amounts of Geographical Data",
  journal="ADV SCI LETT",
  year="2015",
  volume="21",
  number="12",
  pages="3680--3683",
  doi="10.1166/asl.2015.6540",
  issn="1936-6612",
  url="http://www.aspbs.com/science/contents-science2015.htm"
}