1 Integration of Turkish Soil Database into European Soil Database Ece AKSOY

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Integration of Turkish Soil Database

into European Soil Database

Ece AKSOYEce AKSOY

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OUTLINE:OUTLINE:

Beginning DataBeginning Data DeliverablesDeliverables

• Explaining how to develop SMU/STU Explaining how to develop SMU/STU structure for Turkish soil data structure for Turkish soil data

• SSoil database for Turkey according to oil database for Turkey according to the ESDB’s SMU/STU structurethe ESDB’s SMU/STU structure

Explaining data transformation and Explaining data transformation and acquisitionacquisition

Thematic mapsThematic maps Future WorksFuture Works

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Beginning DataBeginning Data

1.MAP:1.MAP: Turkey Soil Map, shapefile, polygon: Turkey Soil Map, shapefile, polygon:

544 polygons. 544 polygons. Cities of Turkey, shapefile, point: Cities of Turkey, shapefile, point:

Coordinates and population data of 6 Coordinates and population data of 6 cities of Turkey.cities of Turkey.

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Beginning DataBeginning Data

Example of Maps:Example of Maps:

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Beginning DataBeginning Data2. ATTRIBUTE DATA:2. ATTRIBUTE DATA:

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Beginning DataBeginning Data2. ATTRIBUTE DATA:2. ATTRIBUTE DATA:

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DeliverablesDeliverables

Developing an SMU/STU structure for Developing an SMU/STU structure for Turkish soil data Turkish soil data

SSoil database for Turkey according to oil database for Turkey according to the ESDB’s SMU/STU structurethe ESDB’s SMU/STU structure

Explaining data transformation and Explaining data transformation and acquisitionacquisition

Thematic mapsThematic maps

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Developing SMU/STU StructureDeveloping SMU/STU Structure Soils of Turkey comprise 32 soil associations according to ESB/WRB soil Soils of Turkey comprise 32 soil associations according to ESB/WRB soil

classification .classification . Each soil associations contain least 2, usually 3 STU.Each soil associations contain least 2, usually 3 STU. Leptosols are the dominant soils, and followed by the Calcisols, Fluvisols, Leptosols are the dominant soils, and followed by the Calcisols, Fluvisols,

Cambisols, Vertisols, Kastanozems, Regosols, Arenosols, Alisols and Cambisols, Vertisols, Kastanozems, Regosols, Arenosols, Alisols and Acrisols.Acrisols.

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Developing SMU/STU StructureDeveloping SMU/STU Structure

Calculation of percentage of each STU in each SMUCalculation of percentage of each STU in each SMU

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Developing SMU/STU StructureDeveloping SMU/STU Structure

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SSoil database for Turkeyoil database for Turkey

SOIL.PAT, SOIL.PAT, STU.ORG and STU.ORG and STU tables STU tables were prepared were prepared according to according to desired format.desired format.

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SSoil database for Turkeyoil database for Turkey MEASURED PROFILES TABLE MEASURED PROFILES TABLE

is also prepared for 31 soil profile according to desired is also prepared for 31 soil profile according to desired format. format.

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Data TransformationData Transformation WRB and FAO90 transformations were done from WRB and FAO90 transformations were done from

beginning data for each polygon by looking at beginning data for each polygon by looking at codes for suitable soil major type according to codes for suitable soil major type according to instruction guide.instruction guide.

Parent Material (PAR-MAT-DOM and PAR-MAT-SEC) Parent Material (PAR-MAT-DOM and PAR-MAT-SEC) Codes also transformed from beginning data by Codes also transformed from beginning data by looking instruction guide.looking instruction guide.

PercentagesPercentages of clay silt and sand proportion of soil of clay silt and sand proportion of soil were transformed into texture code of Soil were transformed into texture code of Soil Geographical Database Version 4.0 for each Geographical Database Version 4.0 for each polygon by using texture class’s triangle. Because polygon by using texture class’s triangle. Because of there is no information about secondary texture of there is no information about secondary texture of surface, the value of TEXT-SRF-DOM also be of surface, the value of TEXT-SRF-DOM also be entered for TEXT-SRF-SEC. Same method was entered for TEXT-SRF-SEC. Same method was implemented for TEXT-SUB-DOM and TEXT-SUB-implemented for TEXT-SUB-DOM and TEXT-SUB-SEC again.SEC again.

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Data AcquisitionData Acquisition Dominant and secondary SLOPE class Dominant and secondary SLOPE class

were acquired from DEM. were acquired from DEM.

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Data AcquisitionData Acquisition

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Data AcquisitionData Acquisition

ZMIN and ZMAX values were acquired ZMIN and ZMAX values were acquired from DEM. from DEM.

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Data AcquisitionData Acquisition Turkey part cut from Global Land Cover.Turkey part cut from Global Land Cover. Studied for deciding legend because Global land Studied for deciding legend because Global land

cover and European soil database legends were cover and European soil database legends were really different from each other.really different from each other.

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Data AcquisitionData Acquisition Soil map were patched into Google Earth.Soil map were patched into Google Earth. Simultaneously worked on land cover map and google Simultaneously worked on land cover map and google

image for deciding land use for each polygon. image for deciding land use for each polygon.

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Data AcquisitionData Acquisition

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Measured Data Profile MapMeasured Data Profile Map

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Thematic MapsThematic Maps

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Future Works for TurkeyFuture Works for Turkey

Obtaining lacking soil data Obtaining lacking soil data Preparing detailed landuse mapPreparing detailed landuse map Enriching measured soil profilesEnriching measured soil profiles Interpolation of measured soil dataInterpolation of measured soil data

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TThank youhank you......