Greek Cadastre Quality Model and Quality Checking of spatial cadastral data

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Greek CadastreQuality Model and Quality Checking

of spatial cadastral data

Ioannis KavadasRural & Surveying Engineer, MSc, Ph.D. Candidate

Ktimatologio S.A.Head of Project Quality Management & Control Department

Greek Cadastre Background

2Reykjavik, 31/05/2012 QKEN – Plenary meeting

Greek Cadastre – background & key goals

The Greek cadastre is being created Expected - planned completion in 2020

Rights-based, is:

a. 18% complete • Municipalities: 336 (of a total of

5775)• Area: 8.738 km2

• Cadastral parcels: 1.748.795• Properties: 3.500.824• Rights: 6.728.839• Spatial corrections in the 8-year operation

of cadastral offices: 13.500 (0,8%)b. 22% in implementation (major cities)

c. 19% has been launched

d. 41% will be launched in 2012


Greek Cadastre – cadastral data acquisition (1)

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The spatial cadastral data derived from:

the cadastral survey process digitizing the obvious materialized

parcel boundaries on orthophotos spatial cadastral data are included in

administrative acts after joining the geodetic reference system of National Cadastre

boundaries of coastal areas and forest areas

Reykjavik, 31/05/2012 QKEN – Plenary meeting

Greek Cadastre – cadastral data acquisition (2)

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The spatial cadastral data derived from:

verification of spatial data using the data collected in the collection of owners statements – topographical diagrams

spatial data from property titles (area, length of parcel sides e.t.c.)

participation of the owners (indicate cp boundaries)


… location “Katsouli” of the territory of the Municipality of Salamis, not included in the urban development zones, shown with the upper case letters A-B-C-D-A on the topographic diagram that was drawn by the architect engineer E… M… and is attached to my November 19, 1993, contract, has an area of one hundred and eighty five and 90/100 (185.90) sq. meters and borders, according to the diagram, on the North and along the face C-D that has a length of fifteen and 60/100 (15.60) meters with the property of E… Ps…, on the South, along the face A-B that has a length of fifteen (15) meters with a four (4) meter wide road, on the East and along the face B-C that has a length of eleven and 80/100 (11.80) meters with a property of unknown owner, and on the West, along the face A-D that has a length of twelve and 50/100 (12.50) meters, with a four (4) meter wide road. The same land parcel is also shown…

Greek Cadastre – basic notions and key requirements

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The Greek cadastre is being created Every part of land at the municipal

level (including roads, streams, special areas etc.) are cadastral parcel

The spatial information is fully connected with legal and property information

Involving property owners in the process (statements / objections)

Partially created using External Contractors

If detected errors or non conformities in the data are corrected by the contractor

The management of spatial data is fully digital

For the creation of spatial data, we have recent (2009) and complete (full coverage) reference data

Use of Hellenic Positioning System (HEPOS) in field measurements


HEllenic POsitioning System is a system that provides high-accuracy satelite-based real-time positioning services using the Global Positioning System (GPS). HEPOS consists of 98 permanent GPS reference stations and has been designed and developed by KTIMATOLOGIO S.A., witch also operates the system. www.hepos.gr

http://www.hepos.gr/

Greek Cadastre General Conceptual Model


Greek Cadastre – General Conceptual Model (1)

Reykjavik, 31/05/2012 QKEN – Plenary meeting 8

Feature types

Topological relationships

Greek Cadastre – General Conceptual Model (2)


Cadastral parcels

Cadastral zoning

Administrative unit

Greek Cadastre – Spatial feature catalog


Layer Description Feature type INSPIRE object

PST Cadastral parcels Polygon Cadastral parcelsASTOTA Municipality boundaries Polygon Administrative Unit (cz)ASTTOM Cadastral sectors Polygon Cadastral zoningASTENOT Cadastral sections Polygon Cadastral zoningMRT Mining areas Polygon Cadastral zoningBLOCK_PNT XYZ Control points point Other

VSTIndependent buildings (Vertical ownerships)

Polygon Other

EAS Ways of passage (Servitude) Polygon OtherBLD Buildings point OtherASTIK Urban areas Polygon Cadastral zoningEIA Special property objects Polygon Cadastral parcelsEIA_PNT Special property objects point Cadastral parcelsRoads Road network Line OtherOIK Settlement boundaries Polygon Administrative Unit (cz)CBOUND Boundaries of urban zone areas Polygon Cadastral zoning

DBOUNDAdministrative acts (consolidations, land distributions, urban consolidation plans)

Polygon Cadastral zoning

FBOUND areas Polygon Cadastral zoningNOMI Land tenure (property possession) Polygon Cadastral zoningPOI Points of interest Point Geographical namesPOL Parcel identification marks Point Other

ESR

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Greek Cadastre – Data model basic requirements and constraints

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For all cadastral data are not overlapping entities within the same layerThe ASTOTA polygon must be composed entirely of ASTTOM polygons The ASTOTA polygon must be composed entirely of PST polygonsThe ASTOTA polygon should include entirely ASTIK polygonsThe ASTENOT polygons should be included in the ASTTOM polygonsThe ASTIK boundaries should not intersect with the boundaries of the PST polygonsThe VST polygons should be included in the PST polygonsThe EAS polygons should be included in the PST polygonsThe BLD points should be included in the ASTOTA polygon

The MNT polygons should be included in the ASTOTA polygonThe EIA polygons should be included in the ASTOTA polygonThe EIA_PNT points should be included in the ASTOTA polygon The CBOUND polygons should be included in the ASTOTA polygonThe DBOUND polygons should be included in the ASTOTA polygonThe FBOUND polygons should be included in the ASTOTA polygonThe NOMI polygons should be included in the ASTOTA polygonThe BLOCK_PNT, POI and POL points should be included in the ASTOTA polygon

Greek Cadastre GCM vs

INSPIRE GCM


INSPIRE Cadastral parcels – General Conceptual Model

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Basic property unit+ INSPIRE identifier+ temporal information+ national cadastral reference+ area value

Cadastral parcel+ INSPIRE identifier+ temporal information+ geometry+ national cadastral reference+ area value+ reference point (portrayal)+ label (portrayal)

0…n

Cadastral boundary+ INSPIRE identifier+ temporal information+ geometry+ estimated accuracy

1..2 0..1

Cadastral zoning+ INSPIRE identifier+ temporal information+ geometry+ national cadastral zoning reference+ name+ level (hierarchy)+ level name (hierarchy)+ original scale denominator+ Estimated accuracy+ reference point (portrayal)+ label (portrayal)

Temporal Information+ begin lifespan+ end lifespan+ valid from+ valid to

0..1Cadastral

Parcel

Cadastral Boundary

Cadastral Zoning

Cadastral Parcel


Greek Cadastre GCM vs INSPIRE GCM (1)


PST

FIDKAEKPROP_TYPEORI_TYPEORI_CODEDEC_IDADDRESSNUMAREASHAPELEN

Cadastral parcels

GM_ObjectinspireIdlabelnationalCadastralReference- - - - - - - - - - - voidable - - - - - - - - - - areaValuereferencePointvalidFromvalidTobeginLifespanVersionendLifespanVersion

Temporal information is also available

140210914003

003

part of

dataset

Cadastral diagram

Greek Cadastre GCM vs INSPIRE GCM (2)


ASTENOT

FIDCAD_ADMINPROP_TYPELOCALITYAREASHAPELEN

Cadastral zoning

GM_MultishapeinspireIdlabelnationalCadastralZoningReference- - - - - - - - - - - - voidable - - - - - - - - - - - - - estimateAccuracylevellevelNamenameoriginalMapScaleDenominator referencePointvalidFromvalidTobeginLifespanVersionendLifespanVersion

Temporal information is also available

identified in data model for every Cz

part of

140210914

0914

dataset

Cadastral diagram

Greek Cadastre Cadastral parcels

Quality Model


Greek QM for cadastral parcels (1)


Full Inspection Sampling SamplingIf there are errors (error number> 0) the subset should be rejected, and a report with corrective actions prepared and sent to the contractor

FGDC : Geospatial Positioning Accuracy Standards - Part 3: National Standard for Spatial Data Accuracy

ISO 2859



PST (Cadastral Parcel)

DQ basic measure / error count: id 2 (ISO 19138)Quality element Completeness

Quality sub element Commission

Quality measure Number of excess items

Scope All items classified as “cadastral parcel” in the dataset.

Measure Error count

Measure definition Number of items within the dataset that should not have been in the dataset.

Result value type Number (integer)

Result unit count



PST (Cadastral Parcel)1st quality evaluation method

DQ basic measure / error count: id 2Evaluation

method description

Number of cadastral parcels, which are not presented in the dataset (in relation to cadastral parcels in the universe of discourse)

QC Range Full inspection QC procedure Automatic

Reference data Municipality boundaries

Software Custom application, ArcGIS QCR type /

formatList / KAEK in MSExcel

Conformance level

Zero violations in dataset

Sample: 33 municipalities280.781 parcels

Requirement: Every part of land at the municipal level are cadastral parcel

Part of qcr checklist

Quality requirement: Completeness Conformance level: Absence of area gaps within the municipality boundariesResult: Accepted



PST (Cadastral Parcel)2rd quality evaluation method


method description

Number of cadastral parcels, which are not presented in the dataset.Every cadastral parcel included in the database of property information is also included in the spatial data and vice versa (1:1)

QC Range Full inspection QC procedure Automatic

Reference data Database with ownership and property data

SoftwareQCR type /

formatList - KAEK in MSExcel

Conformance level



Key note: The spatial information is fully connected with legal and property information

Part of qcr checklistQuality requirement: Completeness (spatial vs property data 1:1 identification)Conformance level: For each property record there is a corresponding cadastral parcel and vise versaResult: Not acceptedReport: KAEK of non-compliant cadastral parcel



PST (Cadastral Parcel)SHAPE (Geometry)

DQ basic measure / error count: id 19 (ISO 19138)Quality element Logical consistency QC procedure Automatic full inspection

Quality sub element

Format consistency Conformance level


Part of quality report




Part of quality report

DQ basic measure / error count: id 25 (ISO 19138)Quality element Logical consistency QC procedure Automatic full inspection

Quality sub element

Topological consistency

Conformance level




DQ basic measure / Mean value of positional uncertainties: id 28 (ISO 19138)

Quality element Positional accuracy

Quality sub element Absolute accuracy

Quality measure Mean value of positional uncertainties / id 28

Scope All items classified as “cadastral parcels” set in the dataset.

Measure Root Mean Square Error (RMSExy)

Measure definition Geometric accuracy of cadastral parcels with regard to the adopted geodetic reference system (EGSA’87).

Result value type measure

Result unit -




PST (Cadastral Parcel)- SHAPE

DQ basic measure / Mean value of positional uncertainties: id 28

Evaluation method

description

Mean value of the positional uncertainties for a set of positions where the positional uncertainties are defined as the distance between a measured position and what is considered as the corresponding true position.

QC Range Sampling using FGDC standardsBased on “Geospatial Positioning Accuracy Standards - Part 3: National Standard for Spatial Data Accuracy”, Subcommittee for Base Cartographic Data / Federal Geographic Data Committee

QC procedure ManualReference data Field measurements

Software GPS receiver and Total Station / ArcGIS and Autocad

QCR type / format MSExcel file & ShapefileConformance

levelUrban areas: RMSExy ≤ 0,56mAgricultural & other areas: RMSExy ≤ 1,41m

Sample: 33 municipalities2.556 control points



DQ basic measure / Relative horizontal errorQuality element Positional accuracy

Quality sub element Relative accuracy

Quality measure Relative horizontal error

Scope All items classified as “cadastral parcels” set in the dataset.

Measure Parcel’s shape compatibility (1st )Parcel’s boundary’s length compatibility (2nd and 3rd)

Measure definition Evaluation of the random errors in the horizontal position of one feature to another in the same dataset

Result value type measure

Result unit -




DQ basic measure / Relative horizontal error

Evaluation method

description

Check the compatibility of the parcel shape compared to the "Compatibility Zone" of the cadastre parcel.Parcel’s shape compatibility, is true when all points of the outline of parcel on the topographic diagram can be placed in the "Compatibility Zone" of the cadastre parcel.

QC Range Sampling inspection using Procedure A of ISO 2859-2 standard

QC procedure Manual

Reference data Topographical diagrams (collected with owners statements) and diagrams from administrative acts

Software ArcGISQCR type / format MSExcel file & Shapefile

Conformance level

LQ=8,0

Sample: 33 municipalities2400 parcels

PST (Cadastral Parcel)1st quality evaluation method

Compatibility Zone defined as the zone which lies between border of an inner and an outer polygon with sides parallel to the sides of the cadastral parcel, located on either side as follows:

• Uo = 0,50m for urban areas• Uo = 2,00m for non urban areas




Evaluation method

description

Compare the length of the boundary of the parcel as measured in the field with the same length in the spatial database

QC Range Sampling inspection2~3 cadastral sections (blocks) per municipality.With the new technical specifications, we increased (three times) the number of the inspected parcels

QC procedure Manual

Reference data Field measurements

Software GPS receiver and Total Station / ArcGIS and Autocad

QCR type / format MSExcel file & Shapefile

Conformance level

Urban areas: Es ≤ 0,79mAgricultural & other areas: Es ≤ 1,99m


PST (Cadastral Parcel)2nd quality evaluation method




Evaluation method

description

Compare the length of the boundary of the parcel as measured or shown in topographical diagram with the same length in the spatial database

QC Range Sampling inspection5~7 parcels per municipality.With the new technical specifications, we increased (three times) the number of the inspected parcels.

QC procedure Manual

Reference data Topographical diagrams (collected with owners statements)

Software ArcGIS

QCR type / format MSExcel file & Shapefile

Conformance level

Urban areas: Es ≤ 0,79mAgricultural & other areas: Es ≤ 1,99m


PST (Cadastral Parcel)3rd quality evaluation method



PST (Cadastral Parcel)

DQ basic measure / error count: id 62 (ISO 19138)Quality element Thematic accuracy

Quality sub element Classification correctness

Quality measure Number of incorrectly classified features

Scope All items classified as “cadastral parcel” in the dataset.

Measure Error count

Measure definition Number of incorrectly classified features

Result value type Number (integer)

Result unit count



PST (Cadastral Parcel)2nd quality evaluation method


method description

Visual inspection based on the delineated boundaries of the properties as shown on orthophotos.

QC Range Full inspection QC procedure Manual

Reference data Orthophotos

Software ArcGISQCR type /

formatShapefile

Conformance level



Requirement: Every part of land at the municipal level are cadastral parcel

data inspection also for: Presence of blunder errors mainly in the

shape of parcels Existence of drawing faults Systemic movement of parcel boundaries Existence of discontinuities in the entities

The same evaluation method used also for the inspection of cadastral parcel completeness

Conclusions

The results of quality control performed in 6 resent contracts (33 municipalities / with new specifications) meet compliance criteria set in the specifications.

To accept the data needed 1 to 3 (max 5) re-submissions by the data producer with corrections or clarifications resulting from our quality checking.

The project's success is mainly based on following factors:

Using both the data producers and Ktimatologio S.A. detailed quality plan based on ISO 10005,

Mandatory implementation of internal quality checking by the data producer (similar with quality controls of Ktimatologio S.A.) and submit their results to us for checking and validation,

Implementation of quality checking from the Ktimatologio S.A using quality plan and detailed quality manual, trained staff and specialized software applications,

The effectiveness of quality checking that adopted by Ktimatologio S.A., which resulted very small percentages of appeals and requests for correction by owners - avg 1% (in total of 280.781 parcels) for spatial data during the suspension of data


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Thank you for your attention

Greek Cadastre Quality Model and Quality Checking of spatial cadastral data

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