| Issue |
E3S Web Conf.
Volume 171, 2020
The 9th International Scientific-Technical Conference on Environmental Engineering, Photogrammetry, Geoinformatics – Modern Technologies and Development Perspectives (EEPG Tech 2019)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 6 | |
| Section | Photogrammetry, Geoinformatics | |
| DOI | https://doi.org/10.1051/e3sconf/202017102011 | |
| Published online | 09 June 2020 | |
Landscape indicators as a tool of assessing landscape quality
1 Department of Hydrobiology and Ecosystems Protections, University of Life Sciences in Lublin, Dobrzańskiego 37, Lublin 20-262, Poland, ORCID 0000-0002-0276-7809; e-mail: barbara.sowinska@wp.pl
2 Department of Grassland and Landscape Shaping, University of Life Sciences in Lublin, Akademicka 13, Lublin 20-950, Poland; ORCID 0000-0002-4135-1531, e-mail: malwina.sniezek@up.lublin.pl
* Corresponding author: malwina.sniezek@up.lublin.pl
Landscape quality (LQ) is understood as the state in which its (landscape) spatial, functional and visual structure is found at a given time. To measure this landscape characteristic different research methods and data types are needed including GIS techniques and remote sensing data as well as interviews and questionnaires, results of social perception studies, analysis of documents, registers and statistical data, landscape visual studies and 3D drawings. Presented study aims to fully analyze the LQ of the Roztocze region based on above mentioned methods. To do so, the categorization of 24 quantitative indices was applied. Results indicated high structural and ecological values, medium visual values and values of spatial harmony and low cultural and perceptual properties of analyzed area. The study results also showed the great importance of spatial data and GIS techniques in LQ assessment.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.