The problem of mismatch between the CORINE land cover data classification and the development of settlement in Poland

35Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

Abstract

The main goal of the article is the evaluation of usefulness of CORINE Land Cover (CLC) data-acquired predominantly by visual interpretation of Landsat satellite imagery-for monitoring of changes in settlement development and land use. This has been done by comparison of occurrence of buildings (and address points) in Poland with delimitations of land use belonging to particular classes in the CLC 2018 dataset. Large discrepancies have been identified, which reach on average approx. 34% of addresses and 35% of buildings located outside class 1 (artificial surfaces), mainly on terrains of class 2 (agricultural areas). Among single-family buildings it was 37% and among new addresses (forecasted or "under construction" buildings)-as much as 50%. This puts a question mark over the possibility of using CLC data with a resolution of 25 ha for monitoring of spatial planning and development in Poland for purposes of the diagnosis and assessment of the scale of dispersion of built-up areas. It is worth carrying out similar analyses in other countries, known for the deconcentration processes and a relatively large share of dispersed settlement, e.g., other CEE countries, Spain, Portugal, Italy.

Cite

CITATION STYLE

APA

Śleszyński, P., Gibas, P., & Sudra, P. (2020). The problem of mismatch between the CORINE land cover data classification and the development of settlement in Poland. Remote Sensing, 12(14). https://doi.org/10.3390/rs12142253

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free