The Land Cover/Use Code of the new Istat Census cartography Stefano Mugnoli ISTAT, Italian National Institute of Statistics, Italy Alberto Sabbi ISTAT, Italian National Institute of Statistics, Italy Fabio Lipizzi ISTAT, Italian National Institute of Statistics, Italy This is a section of ASA 2022 Data-Driven Decision Making(DOI: 10.36253/979-12-215-0106-3) by Enrico di Bella, Luigi Fabbris, Corrado Lagazio Firenze University Press Firenze 2023 https://doi.org/10.36253/979-12-215-0106-3.21

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ISTAT census layers, realized by ISTAT since 1991, are in update; this kind of digital cartography divides the entire national territory in very small enumeration areas to which are linked all the variables gathered during the census surveys. This layer, thanks to the several pieces of information related to each enumeration area, has a huge value for the statistical description of the Italian situation also regarding land cover and land use themes. Therefore, to further enrich the information assets of the ISTAT cartography, Environment and Territory Service of the Institute aims to produce an implementation of the enumeration areas layer to homogenise them with regard their land cover and land use. In addition, this is achieved through a specific code (Cod_TIPO_S) that can be related to the European frame LUCAS (Land Use and Cover Area Survey) legend. LUCAS survey represents the official frame for the dissemination of land cover and use statistics at continental level. For our purpose a specific transcoding table has been created between COD_TIPO_S and LUCAS legend. New enumeration areas layer provides for 47 legend entries In this brief paper both the work carried out and some provisional results for some of the major Italian urban areas are illustrated. The activities are in progress and are based on GIS algorithm and Python scripts.

 enumeration areas LUCAS survey land cover land use GIS

It is available online at https://doi.org/10.36253/979-12-215-0106-3.21

References Mugnoli S., Lipizzi F. and Esposto A. (2018). New ISTAT ‘microzones’ layer: a new way to read land cover statistics. Journal of Research and Didactics in Geography (J-READING). 2: 95-104. European Environment Agency, (2006). Urban Sprawl in Europe – the ignored challenge, EEA report n. 10/2006. Lipizzi F. and Mugnoli S. (2010). Le statistiche agricole verso il Censimento del 2010: valutazione e prospettive. In: Proceedings of the conference: Le Statistiche agricole verso il Censimento del 2010: valutazioni e prospettive. Cassino, Università di C Chiocchini R. and Mugnoli S. (2014). Land Cover and Census integration geographic datasets to realize a statistics synthetic map. In: Proceedings of European Forum for Geography and Statistics (Krakow, 22-24 October 2014), European Forum for Geography and Mugnoli S., Chiocchini R., Cruciani S., Esposto A. and Lipizzi F. (2011). Integrazione di dataset geografici di copertura del Suolo e Censuari per la realizzazione di una mappa statistica sintetica. In: Proceedings of the XV National Conference ASITA 2011 Lombardo G., Esposto A., Minguzzi R. and Mugnoli S. (2017). La CSS ISTAT un nuovo strumento per le statistiche territoriali. Geomedia, XXI, 2, pp. 26-30. Law M. and Collins A. (2018). Getting to Know ArcGIS Desktop, fifth edition, Esri Press. Bolstad P., Manson S. (2019). GIS Fundamentals: A First Text on Geographic Information Systems, Sixth Edition, XanEdu Publishing, Inc. Ronneberger O., Fischer P, and Brox T. (2015). U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical image computing and computer-assisted intervention. Springer, pages 234–241.