Have a personal or library account? Click to login
Identification and typology of Czech post-industrial landscapes on national level using GIS and publicly accessed geodatabases Cover

Identification and typology of Czech post-industrial landscapes on national level using GIS and publicly accessed geodatabases

Open Access
|May 2015

Abstract

The post-industrial landscape (PIL) is a generally accepted phenomenon of the present world. Its features are fossil in comparison to those ones in operating industrial landscapes. The required knowledge about the position, size, shape and type of PIL will help decision makers plan PIL future. The paper deals with the selection of identification features of PILs. Applicable data must be related to four landscape structures: natural, economic (land use), social (human) and spiritual. Present Czech geodatabases contain sufficient quantity and quality of data they can be interpreted as source of PIL identification criteria. GIS technology was applied for such data collection, geometric and format pre-processing, thematic reclassification and final processing. Using selected identification and classification criteria, 105 PILs were identified on the Territory of Czech Republic and classified into individual types. A SWOT analysis of results was carried out to identify the reliability level of data and the data processing. The identified PILs represent the primary results generally obtained in the Czech Republic. GIS approach allows repeated procedures elsewhere in EU member states because of some similarity of available geodatabases. Of course, an improvement of classification procedure depends on the real situation in each country.

DOI: https://doi.org/10.1515/eko-2015-0013 | Journal eISSN: 1337-947X | Journal ISSN: 1335-342X
Language: English
Page range: 121 - 136
Published on: May 29, 2015
Published by: Institute of Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2015 Jaromír Kolejka, Martin Klimánek, published by Institute of Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.