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A High Resolution Land Use/Cover Modelling Framework for Europe: Introducing the EU-ClueScanner100 Model

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Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6782))

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Abstract

In this paper we introduce the new configuration of the EU-ClueScanner model (EUCS100) that is designed for evaluating the impact of policy alternatives on the European territory at the high spatial resolution of 100 meters. The high resolution in combination with the vast extent of the model called for considerable reprogramming to optimize processing speed. In addition, the calibration of the model was revised to account for the fact that different spatial processes may be prominent at this more detailed resolution. This new configuration of EU-ClueScanner also differs from its predecessors in that it has increased functionalities which allow the modeller more flexibility. It is now possible to work with irregular regions of interest, composed of any configuration of NUTS 2 regions. The structure of the land allocation model allows it to act as a bridge for different sector and indicator models and has the capacity to connect Global and European scale to the local level of environmental impacts. The EUCS100 model is at the core of a European Land Use Modelling Platform that aims to produce policy-relevant information related to land use/cover dynamics.

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Author information

Authors and Affiliations

  1. Institute for Environment and Sustainability, Land Management and Natural Hazards Unit, European Commission, Joint Research Centre, Via E. Fermi, 2749, 21027, Ispra, VA, Italy

    Carlo Lavalle, Claudia Baranzelli, Filipe Batista e Silva, Sarah Mubareka & Carla Rocha Gomes

  2. Faculty of Economics and Business Administration, VU University, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands

    Eric Koomen

  3. Object Vision BV p/a Vrije Universiteit, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands

    Maarten Hilferink

Authors
  1. Carlo Lavalle
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  2. Claudia Baranzelli
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  3. Filipe Batista e Silva
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  4. Sarah Mubareka
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  5. Carla Rocha Gomes
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  6. Eric Koomen
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  7. Maarten Hilferink
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Editor information

Editors and Affiliations

  1. L.I.S.U.T. - D.A.P.I.T., Basilicata University Potenza, 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. Department of Applied Mathematics and Computational Sciences, University of Cantabria, Avda. de los Castros, s/n, C.P. 39005, Santander, Spain

    Andrés Iglesias

  4. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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Lavalle, C. et al. (2011). A High Resolution Land Use/Cover Modelling Framework for Europe: Introducing the EU-ClueScanner100 Model. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21928-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-21928-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21927-6

  • Online ISBN: 978-3-642-21928-3

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