explorin the limitations of corine land cover for modeling urban land use change

Exploring the limitations of CORINE Land Cover for modeling urban land use change.

Jaime Díaz [email protected]

Universidad Complutense. Departamento de Geografía Humana.

PRESENTATION INDEX

1. Brief description of the whole project where thi s 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.change.

3. Conclusions.

-Objective.

- Methodology: Comparison of geodatabases CLC-MLU at different scales.

Jaime Díaz Pacheco

[email protected]

Dpto. de Geografía Humana

Universidad Complutense

PROJECT : RELATIONSHIP AMONG LAND USE AND URBAN MO BILITY.

MARS CA

Cellular AutomataMetropolitan Activity Relocation Simulator

1. Brief description of the whole project where this work is included. - Objective:

Human Geography Department UCM

TRANSyT - Transport Research Centre -UPM

Regional Transport and Land Use Dynamic ModelMunicipality (Scale)

Regional Land Use Dynamic Model25x25 m. cell (Scale)

Jaime Díaz Pacheco

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Acknowledgements: Financial support from Ministerio de Ciencia e Innovación (project TRA2008-06682) is gratefully acknowledged.

1. Brief description of the whole project where this work is included. - Framework:

…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…)

THE URBANIZATION PHENOMENAAND THE URBAN STRUCTURES DEVELOPMENT…

Despite this evolutional diversity, the

large active urban spaces share

common characteristics. A high level

COMPLEXITY OF THE HUMAN

SOCIO-SPATIAL PHENOMENA.

CITIES ARE A DYNAMIC SELF

ORGANIZING SYSTEM

common characteristics. A high level

of dynamism and high index of

growth.

Fuente: GawC Inventory of World Cities.ENDOGENOUS AND

EXOGENOUS FACTORS

PATTERNS GENERATION

LAND USE DYNAMICS

Can we approach the urban phenomenon through the land

use dynamics?Are there factors which are in

relationship with urban

transformations? How are these

factors contributing on the land

use dynamic in the cities?Fuente: http://arsberlin.wordpress.com/

GEOGRAPHICAL MODELS,

IMPLEMENTED TECHNIQUES

IN GIS . CA, ANN…

CELLULAR AUTOMATON ELEMENTS

1. Brief description of the whole project where this work is included. - Methodology:

Jaime Díaz Pacheco

[email protected]



LAND USECHANGE

BEHAVIOUR

LAND USE CHANGE DYNAMIC MODEL

POTENTIALTRANSITION

FUTURESCENARIOS

LAND USEDEMAND

Changing rules

Changing demand

LAND USE

Period t0 (2000)

LAND USE

Period t6 (2006)

True

LAND USE

Period t9

(2009)

Simulation

LAND USE

Period t9

(2009)

VALIDATION

Where? How much?

TRANSITION(RULES)

DEMANDMODEL

MAP COMPARISON

CALIBRATION

Simulation

LAND USE

Period t6 (2006)

True

LAND USE

Period t6 (2006)

Jaime Díaz Pacheco

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POTENTIAL TRANSITION

(RULES)

Neighborhood

Adapted from: Engelen, G.; White, R.; Uljee, I.; Drazan, P. (1995)

1. Brief description of the whole project where is included this work. - Methodology:

MODEL BUILDER (ARCGIS 10) LAND USE CHANGE DYNAMIC MODEL BASED ON A CELLULAR A UTOMATON

Potential Transition

Demand Model

Ranking cells

Land Use

Allocation

Building simulation

loop

LU Simulation

t1

Initial Land USe

t0

BUILDING AN URBAN CELLULAR AUTOMATON ON MODEL BUILDER (ArcGIS 10)

2. Exploring the weakness of CORINE Land Cover for monitoring urban land use changes.

- Measure to what degree CLC is applicable for anurban CA-BASED land use modeling at particularscales.

- Compute possible underestimations andoverestimations of CLC on artificial (urban) land use, bycomparison with a higher precision regional land use

- Methodology:

- Objective:

comparison with a higher precision regional land usegeodatabase (MLU) at particular scales of analysis.

LAND USE CHANGE TO

ARTIFICIAL LAND2000-2006

According CLC

According MLU

TOTAL AREA OF ARTIFICIAL LAND

2000 & 2006

Comparison

Regional Scale(Madrid

Community)

Local Scale(municipalities)

2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.

Land Uses

Urban Residential

Industrial/Commercial/Services

Airport

DETAIL OF CORINE LAND COVER, 2000.

DETAIL OF MADRID LAND USE, 2000.

LOCALIZATION CORINE Land Cover.

- EU. EEA.

- Coordinate,

homogenize, LULC

information in EU.

- 1999-2000-2006.

- 25 ha. m.m.u.

- Remote

Sensing/Automatic

and visual. (Computer-Infrastructures

Sport and Leisure

Urban Green

Non-Urban Land

0 100 20050Km

³

Jaime Díaz Pacheco

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and visual. (Computer-

assisted classification)

MADRID Land Use.

- UCM (H. Geography).

- LU and urban mobility

(Madrid C.).

- 2000-2006-2009.

- 0.25 ha. m.m.u.

- Photo interpretation,

cartography support.

³

MADRID Land Use (2006) CORINE Land Cover (2006)

Airports

Sport and Leisure

Industrial/Commercial/Service

Road Network

Urban Residential

Urban Green


0 20 4010Km

³A NEW SET OF CATEGORIES TO ASSIMILATE CLC and MLU CLASSES.

COMPARISON OF ARTIFICIAL LAND USE COMPUTED BY CLC AND MLU AT REGIONAL SCALE.

Jaime Díaz Pacheco

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ARTIFICIAL LAND USE EVOLUTION, 2000-2006. OVERESTIM ATIONS AND UNDERSTIMATIONS, CLC.

Jaime Díaz Pacheco

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Jaime Díaz Pacheco

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Overestimations / UnderestimationsLow ( < 5%)

Medium (5% - 25%)

High (25%-50%)

Very high (> 50%)

Low (< 5%)

Medium (5%-25%)

High (25%-50%)

Very high (>50%)

³0 25 5012.5 Km


Underestimations

n: 128

X: 55.25

s : 83.46

Max: 495.84

Min: 0.18

Overestimations

n: 51

X: 36.42

s : 35.79

Max: 168.33

Min: 2.02

Jaime Díaz Pacheco

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Underestimations Overestimations

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 CAT HEGORY. IT HAVE OTHER USES!

Jaime Díaz Pacheco

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Detail of mapped elements. CLC, 2000 and 2006.

Hectareas

Negative Growth

< 250

250 - 500

500 - 1.500

1.500 - 2.500

Location of negative growth areas.

EXAMPLES: AREAS MAPPED IN CLC 2000, NOT MAPPED IN 2 006

Jaime Díaz Pacheco

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0 100 20050Km ³Artificial Land

2000

2006

1.500 - 2.500

2.500 - 30.000

Location of negative growth areas.

3. CONCLUSIONS.

- This work has tried to explore the coherence of COR INE land cover and its capacity to serve as input land use geodatabase for modeling urb an land use change.

- CORINE land cover may be useful to work at small sc ales (coarse resolution) for assessing urban land use change, but it is not so s uitable 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

Jaime Díaz Pacheco

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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 ove r MLU increase as we increase the scale of analysis (regional-municipal). In other wo rds 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 acc ording CLC. In fact if we analyze the data we find decrease rather than increase for thes e categories between 2000-2006. This kind of problem makes results from CLC incoherent.

Thank you!

Exploring the weakness of CORINE Land Cover for modeling urban land use change.

Jaime Díaz [email protected]

Universidad Complutense. Departamento de Geografía Humana.

Urban land change modeling has become an important tool to supportterritorial planning and management in a given region. Land use modelsbased on cellular automata have been successful because of theirsimplicity. A set of simple rules allows to simulate the complexity of theland use patterns in a given region.To achieve a successful model based on urban cellular automata, it isTo achieve a successful model based on urban cellular automata, it isnecessary to have a land use geodatabase for several time periods. Inthat sense, CORINE land cover (1990, 2000, 2006) a European initiativefor monitoring land use change within EU member states and adjacentareas, is useful. This paper aims to measure to what degree this land usegeodatabase is applicable for an urban CA-BASED land use modeling atparticular scales.

Jaime Díaz Pacheco

[email protected]



explorin the limitations of corine land cover for modeling urban land use change

Technology

land use dynamics

modeling urban land

rulesvalidationland

urban ca

urban mobility

urban phenomenon

urban regions

brief description