Are open data sufficient for local urban green space mapping? Insights from the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F25%3AN0000049" target="_blank" >RIV/00027073:_____/25:N0000049 - isvavai.cz</a>
Result on the web
<a href="https://reference-global.com/download/article/10.2478/jlecol-2025-0026.pdf" target="_blank" >https://reference-global.com/download/article/10.2478/jlecol-2025-0026.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jlecol-2025-0026" target="_blank" >10.2478/jlecol-2025-0026</a>
Alternative languages
Result language
angličtina
Original language name
Are open data sufficient for local urban green space mapping? Insights from the Czech Republic
Original language description
Urban green space (UGS) plays a crucial role in enhancing quality of life in rapidly growing cities, providing essential ecosystem services, such as biodiversity support, climate regulation, and mental well-being. This study examines the use of open national datasets (ZABAGED, Consolidated Layer of Ecosystems (CLE), and Cadastre data) for mapping UGS in small towns (with population bellow 50,000) in the Czech Republic. The aim is to evaluate the suitability of these datasets for UGS identification, focusing on their level of detail and accuracy in comparison with data collected in the field. The results show that ZABAGED is the most reliable dataset for identifying formal UGS, with a high overlay percentage with field data. Although the CLE and Cadastre data show potential in specific cases, such as identifying informal green space and other types of UGS, their overall accuracy is lower. The study also investigates the potential of combining different datasets to enhance UGS mapping accuracy. Additionally, while open datasets are valuable tools, certain limitations remain, especially in capturing complex or linear UGS features. Nevertheless, the findings highlight ZABAGED as the most suitable open dataset for UGS mapping in the Czech Republic at the national level. Its high reliability and regular updates (every 3-4 years) make it a promising source for long-term UGS monitoring and spatial analysis.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
<a href="/en/project/SS02030018" target="_blank" >SS02030018: Center for Landscape and Biodiversity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of landscape ecology
ISSN
1803-2427
e-ISSN
1805-4196
Volume of the periodical
18
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
18
Pages from-to
20-37
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105012498457