ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-2-W13-1213-2019 A PRELIMINARY QUALITY ANALYSIS OF THE CLIMATE CHANGE INITIATIVE LAND COVER PRODUCTS FOR CONTINENTAL PORTUGAL Fonte C. C. https://orcid.org/0000-0001-9408-8100 1 2 See L. https://orcid.org/0000-0002-2665-7065 3 Lesiv M. 3 Fritz S. https://orcid.org/0000-0003-0420-8549 3 Department of Mathematics, University of Coimbra, Coimbra, Portugal Institute for Systems Engineering and Computers at Coimbra (INESCC), Coimbra, Portugal International Institute for Applied Systems Analysis, Laxenburg, Austria 05 06 2019 XLII-2/W13 1213 1220 Copyright: © 2019 C. C. Fonte et al. 2019 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W13/1213/2019/isprs-archives-XLII-2-W13-1213-2019.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W13/1213/2019/isprs-archives-XLII-2-W13-1213-2019.pdf

The aim of this paper is to perform a preliminary analysis of the compatibility and quality of the available time series of land cover data available for continental Portugal, in particular, Climate Change Initiative Land Cover maps, which are available annually from 1992 to 2015; CORINE Land Cover and the Urban Atlas for 2006 and 2012; and the Portuguese Carta de Ocupação do Solo for 2007 and 2010. Changes were first identified per product between the different data sets for consecutive dates and then a comparison was made between products. This was followed by validation of two study areas using the COS and UA as reference products. The results show that increases in urbanization are visible in all pairs of products but that the amount of change varies. Moreover, some changes are not in the same direction but may be attributable to classes with small areas and the coarser resolution of the CCI LC maps compared to the other products. The CCI LC maps also overestimate the forest/natural vegetation class by 11–13%, which is also the largest class in Portugal.