Harmonized Pan-European Time Series for Monitoring Soil Sealing

Christophe Sannier (), Eva Ivits, Gergely Maucha, Joachim Maes and Lewis Dijkstra
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Christophe Sannier: GAF AG, Arnulfstr. 199, 80634 Munich, Germany
Eva Ivits: European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen, Denmark
Gergely Maucha: Lechner Non-Profit Ltd., 1114 Budapest, Hungary
Joachim Maes: European Commission, Directorate-General for Regional and Urban Policy, 1040 Brussels, Belgium

Land, 2024, vol. 13, issue 7, 1-20

Abstract: The European Copernicus Land Monitoring Service (CLMS) has been producing datasets on imperviousness every 3 years since 2006. However, for 2018, the input for the production of the imperviousness dataset was switched from mixed inputs to the Sentinel constellation. While this led to an improvement in the spatial detail from 20 m to 10 m, this also resulted in a break in the time series as the 2018 update was not comparable to the previous reference years. In addition, the European CLMS has been producing a new dataset from 2018 onward entitled CLC+ Backbone, which also includes a sealed area thematic class. When comparing both datasets with sampled reference data, it appears that the imperviousness dataset substantially underestimates sealed areas at the European level. However, the CLC+ dataset is only available from 2018 and currently does not include any change layer. To address these issues, a harmonized continental soil sealing combined dataset for Europe was produced for the entire observation period. This new dataset has been validated to be the best current dataset for monitoring soil sealing as a direct input for European policies with an estimated total sealed area of 175,664 km 2 over Europe and an increase in sealed areas of 1297 km 2 or 0.7% between 2015 and 2018, which is comparable to previous time periods. Finally, recommendations for future updates and the validation of imperviousness degree geospatial products are given.

Keywords: imperviousness; change detection; Copernicus Land Monitoring Service; pixel counting; area estimation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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