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Explorin the Limitations of CORINE Land Cover for Modeling Urban Land Use Change
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Explorin the Limitations of CORINE Land Cover for Modeling Urban Land Use Change

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Presentation by Jaime Díaz Pacheco from Complutense University of Madrid on Esri European User Conference 2011.

Presentation by Jaime Díaz Pacheco from Complutense University of Madrid on Esri European User Conference 2011.

Published in: Technology, Real Estate

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  • 1. Exploring the limitations of CORINE LandCover for modeling urban land use change. Jaime Díaz Pacheco jdiazpac@ghis.ucm.esUniversidad Complutense. Departamento de Geografía Humana.
  • 2. PRESENTATION INDEX 1. Brief description of the whole project where this work is included. -Objective. -Framework: Dynamic models of land use change in urban regions. - Methodology: Building urban CA based model on a GIS platform (ArcGIS 10). 2. Exploring the weakness of CORINE Land Cover for modeling urban land use change. -Objective. - Methodology: Comparison of geodatabases CLC-MLU at different scales. 3. Conclusions. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 3. 1. Brief description of the whole project where this work is included. - Objective: PROJECT : RELATIONSHIP AMONG LAND USE AND URBAN MOBILITY. MARS CA Metropolitan Activity Relocation Simulator Cellular Automata Regional Transport and Regional Land Use Land Use Dynamic Dynamic Model Model 25x25 m. cell (Scale) Municipality (Scale) TRANSyT - Transport Research Centre - Human Geography Department UPM UCMAcknowledgements: Financial support from Ministerio de Ciencia e Innovación (project TRA2008-06682) is gratefully acknowledged. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 4. 1. Brief description of the whole project where this work is included. - Framework: THE URBANIZATION PHENOMENA AND THE URBAN STRUCTURES DEVELOPMENT… …continues intensively since the first industrial cities bloomed in Europe and U.S. …It is occurring in every large urban world region but in a different way (proportions, rates of growth, shapes…) Despite this evolutional diversity, the large active urban spaces share common characteristics. A high level of dynamism and high index of growth. Fuente: GawC Inventory of World Cities. ENDOGENOUS ANDCan we approach the urban phenomenon through the land EXOGENOUS FACTORSuse dynamics? COMPLEXITY OF THE HUMAN Are there factors which are in SOCIO-SPATIAL PHENOMENA. GEOGRAPHICAL MODELS, relationship with urban PATTERNS GENERATION IMPLEMENTED TECHNIQUES transformations? How are these CITIES ARE A DYNAMIC SELF IN GIS . CA, ANN… factors contributing on the land ORGANIZING SYSTEMFuente: http://arsberlin.wordpress.com/ use dynamic in the cities? LAND USE DYNAMICS
  • 5. 1. Brief description of the whole project where this work is included. - Methodology: CELLULAR AUTOMATON ELEMENTS Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 6. LAND USE CHANGE DYNAMIC MODEL LAND USE FUTURE True Period t0 (2000) SCENARIOS LAND USE Period t9 (2009) Changing rules VALIDATION LAND USE Changing demand CHANGE BEHAVIOUR SimulationLAND USE LAND USEPeriod t6 (2006) Period t9 Where? How much? (2009) POTENTIAL LAND USE TRANSITION DEMAND (RULES) MODEL CALIBRATION Simulation True LAND USE LAND USE Period t6 (2006) Period t6 (2006) MAP COMPARISON Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 7. POTENTIALTRANSITION (RULES) Neighborhood Adapted from: Engelen, G.; White, R.; Uljee, I.; Drazan, P. (1995)
  • 8. 1. Brief description of the whole project where is included this work. - Methodology: BUILDING AN URBAN CELLULAR AUTOMATON ON MODEL BUILDER (ArcGIS 10) MODEL BUILDER (ARCGIS 10) Land Use LAND USE CHANGE DYNAMIC MODEL BASED ON A CELLULAR AUTOMATON Potential Transition Allocation loop Ranking cells Building simulationInitial Land USe LU Simulationt0 Demand Model t1
  • 9. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land usechanges. - Objective: - Measure to what degree CLC is applicable for an urban CA-BASED land use modeling at particular scales. - Methodology: - Compute possible underestimations and overestimations of CLC on artificial (urban) land use, by comparison with a higher precision regional land use geodatabase (MLU) at particular scales of analysis. TOTAL AREA OF According CLC ARTIFICIAL LAND Regional Scale (Madrid 2000 & 2006 Community) LAND USE Comparison CHANGE TO Local Scale ARTIFICIAL LAND (municipalities) According MLU 2000-2006
  • 10. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales.DETAIL OF CORINE LAND COVER, 2000. LOCALIZATION CORINE Land Cover. - EU. EEA. - Coordinate, homogenize, LULC information in EU. - 1999-2000-2006. Land Uses - 25 ha. m.m.u. Urban Residential - Remote Industrial/Commercial/Services DETAIL OF MADRID LAND USE, 2000. Airport Sensing/Automatic Infrastructures and visual. (Computer- Sport and Leisure assisted classification) Urban Green Non-Urban Land MADRID Land Use. ³ - UCM (H. Geography). - LU and urban mobility Km 0 50 100 200 (Madrid C.). - 2000-2006-2009. - 0.25 ha. m.m.u. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es - Photo interpretation, Dpto. de Geografía Humana Universidad Complutense cartography support.
  • 11. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales. MADRID Land Use (2006) CORINE Land Cover (2006) Airports Sport and Leisure Industrial/Commercial/Service Road Network Urban Residential Urban Green ³ 0 10 20 40 Km A NEW SET OF CATEGORIES TO ASSIMILATE CLC and MLU CLASSES.
  • 12. COMPARISON OF ARTIFICIAL LAND USE COMPUTED BY CLC AND MLU AT REGIONAL SCALE. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 13. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales.ARTIFICIAL LAND USE EVOLUTION, 2000-2006. OVERESTIMATIONS AND UNDERSTIMATIONS, CLC. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 14. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales. Overestimations / Underestimations Low ( < 5%) Medium (5% - 25%) High (25%-50%) Low (< 5%) Medium (5%-25%) High (25%-50%) ³ 0 12.5 25 50 Km Very high (> 50%) Very high (>50%) Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 15. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales. Underestimations Overestimations n: 128 n: 51 X: 55.25 X: 36.42 s : 83.46 s : 35.79 Max: 495.84 Max: 168.33 Min: 0.18 Min: 2.02 Underestimations Overestimations Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 16. 2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics.- Methodology: Comparison of geodatabases CLC-MLU at different scales EXAMPLES: AREAS CLASSIFIED AS SPORT AND LEISURE CATHEGORY. IT HAVE OTHER USES! Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 17. EXAMPLES: AREAS MAPPED IN CLC 2000, NOT MAPPED IN 2006 Detail of mapped elements. CLC, 2000 and 2006. Location of negative growth areas. Hectareas Nega tive G rowth < 25 0 250 - 500 500 - 1.50 0 1.50 0 - 2.50 0 2.50 0 - 30 .0 00 Location of negative growth areas. ³ Artificial Land 200 0 Km 200 6 0 50 100 200Jaime Díaz Pachecojdiazpac@ghis.ucm.esDpto. de Geografía HumanaUniversidad Complutense
  • 18. 3. CONCLUSIONS.- This work has tried to explore the coherence of CORINE land cover and its capacity to serve as input land use geodatabase for modeling urban land use change.- CORINE land cover may be useful to work at small scales (coarse resolution) for assessing urban land use change, but it is not so suitable to work at scales greater (finer resolution) than 1:100,000. It is necessary to be aware of this limitation of CLC for urban modeling.- Recently in the EU a new LULC geodatabase at larger scale (0.25 ha. m.m.u.) is available for large cities (urban regions), nonetheless there is still only one time period geotabase (2010 for Madrid).- The measurements of artificial land use do not show a high difference in quantity of land use computed between CLC and MLU for 2000 and 2006 (static method), nonetheless if the evolution of artificial land uses between 2000-2006 is computed, there is a marked increase in the difference between CLC and MLU.- The overestimations and underestimations of CLC over MLU increase as we increase the scale of analysis (regional-municipal). In other words the error degree tends to increase with the scale.- Certainly the land use classes behavior is not the same for every category. There are extreme cases as the evolution of road network according CLC. In fact if we analyze the data we find decrease rather than increase for these categories between 2000-2006. This kind of problem makes results from CLC incoherent. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Dpto. de Geografía Humana Universidad Complutense
  • 19. Thank you!
  • 20. Exploring the weakness of CORINE Land Cover for modeling urban land use change. Jaime Díaz Pacheco jdiazpac@ghis.ucm.es Universidad Complutense. Departamento de Geografía Humana. Urban land change modeling has become an important tool to support territorial planning and management in a given region. Land use models based on cellular automata have been successful because of their simplicity. A set of simple rules allows to simulate the complexity of the land use patterns in a given region. To achieve a successful model based on urban cellular automata, it is necessary to have a land use geodatabase for several time periods. In that sense, CORINE land cover (1990, 2000, 2006) a European initiative for monitoring land use change within EU member states and adjacent areas, is useful. This paper aims to measure to what degree this land use geodatabase is applicable for an urban CA-BASED land use modeling at particular scales.Jaime Díaz Pachecojdiazpac@ghis.ucm.esDpto. de Geografía HumanaUniversidad Complutense

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