<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15(1)</volume><submitter>Romanczukiewicz K</submitter><pubmed_abstract>This study describes the results of research work on the long-term analysis of land cover changes caused by mining activities in the Strzelin quarries between 1884 and 2023. The primary aim of this study was to analyse long-term landscape changes resulting from granite and gneiss extraction, using a land cover classification adapted to mining conditions. To achieve this, a methodological framework was developed that combines historical cartographic sources with geospatial data, enabling a reconstruction of post-mining land transformations. The framework incorporated rarely utilized historical maps such as 19th-century Messtischblatt maps, with spatial datasets including orthophotos and geospatial databases. The methodology is based on georeferencing and manual vectorisation of open-access </pubmed_abstract><journal>Scientific reports</journal><pagination>29980</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12357872</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Long-term analysis of land cover changes resulting from mining activities: Strzelin case study (S-W Poland).</pubmed_title><pmcid>PMC12357872</pmcid><pubmed_authors>Romanczukiewicz K</pubmed_authors><pubmed_authors>Gorniak-Zimroz J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Long-term analysis of land cover changes resulting from mining activities: Strzelin case study (S-W Poland).</name><description>This study describes the results of research work on the long-term analysis of land cover changes caused by mining activities in the Strzelin quarries between 1884 and 2023. The primary aim of this study was to analyse long-term landscape changes resulting from granite and gneiss extraction, using a land cover classification adapted to mining conditions. To achieve this, a methodological framework was developed that combines historical cartographic sources with geospatial data, enabling a reconstruction of post-mining land transformations. The framework incorporated rarely utilized historical maps such as 19th-century Messtischblatt maps, with spatial datasets including orthophotos and geospatial databases. The methodology is based on georeferencing and manual vectorisation of open-access </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-04T11:56:11.554Z</modification><creation>2026-04-07T20:27:16.517Z</creation></dates><accession>S-EPMC12357872</accession><cross_references><pubmed>40819144</pubmed><doi>10.1038/s41598-025-15881-1</doi></cross_references></HashMap>