27 TUESDAY_PSESSIONS_H3_15.30-17.00 ... - INSPIRE

Sep 26, 2016 - Geo.Name: Las Piscinas-Sector J-1. Gazeteer code = 03099000828. Automatic process. PARCEL. ALLOCATION. Unique identifier assigned to each one of the urban parcels. Settlement (name, id and code):. Adresses, Population gazetteer, streets, Cartography. [Cadastral ref.] = 6004901UL9560S.
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Settlements: A new producción system of GRD in the IGN_ES according to INSPIRE

Eduardo Núñez Maderal,  T. Gullón, L.Camón, J. Delgado 1

Geospatial frame

Look  others

User needs

Changes Human  Resources

GI Manage_ ment

Look inside organization

2

 Introduction

Settlements for the basic cartography 1990 2014

GEOGRAPHIC INFORMATION  FOR THE TOPOGRAPHIC MAP PROJECT (1:25.000)

Topographic MAP

Production: • Scale 1:25.000 • Manual capture Captura (photo‐ interpretion) • Geographical name • Built‐up areas mask Topographic DATABASE

Capture and maintenace for cartographic purposes 3

 Introduction

Settlements for the Geospatial Reference  Information (GRI) project 2014 …

GRI PROJECT Accurate (XY) and updated automatic boundaries extraction from cadastrial data to define settlements Production: • Normalized: according to  INSPIRE • Automatic • High resolution (cadastre) • Maintenance cycle is in  relation to user needs

Capture and maintenace for cartographic and territorial  management purposes according to INSPIRE  4

Settlements:

A new GRD producción system in the IGN_ES according to INSPIRE Directive INSPIRE

National frame law

IGN‐E fundamental datasets GRI Project

Annex 1

IGR

Geodesy and Coordinates

Annex 1

IGR

Geographical names

Anexo 1

IGR

Admin. Boundaries

Anexo 1

IGR

Transport Networks 

Anexo 1

IGR

Hydrography elements

‐‐‐‐‐‐‐‐‐‐‐

IGR

Settlements

Anexo 2

IGR

Althimetric data

Anexo 2

IGR

Referenced images

Anexo 2,3

IGR‐DTF

Land cover‐Land use 5

 Índice

IGR POBLACIONES (Asentamientos de población) Knowledge and  technical criteria

Production v1

Maintenance

6

1. Knowledge, technical criteria

7

Spanish settlements

Administrative organization • 17 Regions (NUT2) • 52 Provinces (NUT3) • > 8.000 Municipalities

Settlement Database v0, IGN‐ES Base de datos de poblaciones V0, IGN_ES (manual photointerpretation) 8

 Spanish settlements

Spatial escenarios Urban

Rural

9

 Spanish settlements

Spatial escenarios

NorthWest:  Small and dispersed High density

10

 Spanish settlements

Spatial escenarios

Center: Grouped Low density

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 Spanish settlements

Spatial escenarios

Coast: Group and dispersed High density

12

 Spanish settlements

Settlement types Urbanization

Metropoly

City Isolated house

Village, place

Abandoned

13

 Spanish settlements

• Definition of settlement  Scope and purpouse Geographical areas that define a clearly differentiated  occupation of territory by the human population

 Quantity: an estimation of 180,000 settlements 14

 Users: Requirements and needs

Statistical populated entities gazeteer: 30 % identified (National Statistics Institute of Spain) Identificación estadística (Nombre y código) 600  population 112,000  population

Real  territory 3,400 population

Disseminated Urban core:  Disseminated: 

• Resolution: no geometry • updating: annual 15

 Users: Requirements and needs

National cartography: 120,000 settlements captured by manual photinterpretation • Resolution: 5‐20  meters • Updating: 4‐8 years Geographic informaction production

Cartographic production

16

 Users: Requirements and needs

Regional cartography: Higher resolution but it is not complete  and not homogeneous nationwide

• Resolution: 1  metre • Updating: ¿? Source: images from IECA

17

 Users: Requirements and needs

Postal adresses: supported with a settlementent spatial database with point geometry Código postal 28035,  dónde está?

A

B

• Resolution: 10 metres • Updating: continuous 18

 Users: Requirements and needs

Catastre: cadastral parcel, adresses and buildings At municipal level • Resolution: < 1 metre • Updating: 6 months

19

 Users: Requirements and needs

Risks and emergencies: • Flood zones • Earthquakes

Affected settlements

20

 Users: Requirements and needs

European settlement map http://land.copernicus.eu/pan‐european/GHSL/view

• Resolution: 10 metros (raster) • updating: anually

21

 Users: Requirements and needs

Monitoring settlements: urban sprawl in Europe •

Global alarm due to a high scatter



Monitoring settlements to manage a  sustainable growth :  Spatial distribution (location and land cover  Intensity of use (population)

Source: Application of a new GIS tool…, T.Soukup et all., 2015

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 Design

Objetives to produce settlements • Standarization: based on INSPIRE implementing rules • User requirements: • What, how, when and how much

• Automatic production, homogeneous nationwide • Full detail geospatial data (bottom‐up aproach) • Based on urban data (catastrial data)

Legal  frame

Design

Strategy

23

 Design for the settlements

DATA MODEL FOR THE SETTLEMENTS GRD , IGN‐ES,  according to INSPIRE A3. Statistical units

class Settlements

Statistical Units «featureT ype» Statistical Units Base:: StatisticalUnit

Population Distribution - Demography

«version»

1

+dimensions

inspireId :Identifier thematicId :ThematicIdentifier [0..*] country :CountryCode geographicalName :GeographicalName [0..*] validityPeriod :T M_Period [0..1] referencePeriod :T M_Period

«dataType» Statistical Units Vector:: VectorStatisticalUnitGeometry

+geometry 1..*

«voidable, lifeCycleInfo» + beginLifespanVersion :DateT ime + endLifespanVersion :DateTime [0..1]

+ +

geometry :GM_Object geometryDescriptor :GeometryDescriptor

+ + + +predecessors «voidable» 0..*

+lowers «voidable» 0..* +uppers «voidable» 0..*

«featureT ype» Statistical Units Vector:: AreaStatisticalUnit +

areaValue :Area

«voidable» + landAreaValue :Area + livableAreaValue :Area

«codeList» Statistical Units Vector:: GeometryTypeValue

+successors «voidable» 0..*

Land Use

«featureType» Existing Land Use::ExistingLandUseObj ect + + +

inspireId :Identifier geometry :GM_MultiSurface hilucsLandUse :HILUCSValue [1..*]

«lifeCycleInfo, voidable» + beginLifespanVersion :DateT ime + endLifespanVersion :DateTime [0..1]

tags owner = INE

::AreaStatisticalUnit + areaValue :Area

{TopologicalConstraint}

1..*

buildingsSurface :double [0..1] numberOfBuildings :int [0..1]

A3. Land use for settlements (linked to  Hilucs)

«codeList» IGNE Existing Land Use:: LandUseForPopulatedPlace

1

«voidable, lifeCycleInfo»

+ +

Administrative Units

1..*

«featureType» IGNE_TerritorialAndAdministrativ eDelimitations:: IGNE_Administrativ eUnit

::VectorStatisticalUnit + beginLifespanVersion :DateT ime + endLifespanVersion :DateTime [0..1]

+ + + + + +

0..1

abandoned greenAreas industrial residential servicesAndInfaestructures urbanisedNotBuilt

tags owner = NRC LU&SP «featureType» Administrativ eUnits::Administrativ eUnit constraints {CondominiumsAtCountryLevel} {AdmininstrativeUnitHighestLevel} {AdministrativeUnitLowestLevel}

Cadastral Parcels 1..*

0..1

«featureT ype» CadastralParcels::CadastralParcel + + + +

{geometryType} {areaValueUoM} {validT o} {endLifespanVersion}

A

A1. Geographical names

spelling :SpellingOfName [1..*]

Buildings

0..*

constraints

+

«featureT ype» BuildingsExtendedBase:: BuildingAndBuildingUnitInfo

«voidable» + areaValue :Area [0..1] + referencePoint :GM_Point [0..1] + validFrom :DateTime [0..1] + validT o :DateTime [0..1] «lifeCycleInfo, voidable» + beginLifespanVersion :DateT ime + endLifespanVersion :DateTime [0..1]

Geographical Names «dataT ype» Geographical Names::GeographicalName

+administrativeUnit «voidable»

geometry :GM_Object inspireId :Identifier label :CharacterString nationalCadastralReference :CharacterString

Statistics code

«featureType» IGNE Existing Land Use:: LandUseObj ectInPopulatedPlace

::VectorStatisticalUnit + inspireId :Identifier +landUse + thematicId :ThematicIdentifier [0..*] 1 + country :CountryCode + geographicalName :GeographicalName [0..*] + validityPeriod :T M_Period [0..1] + referencePeriod :T M_Period ::AreaStatisticalUnit + landAreaValue :Area + livableAreaValue :Area

A1. Cadastral Parcel

{valueOrSpecialValue}

«voidable» + hilucsPresence :HILUCSPresence + specificLandUse :LandUseClassificationValue [1..*] + specificPresence :SpecificPresence + observationDate :Date + validFrom :Date [0..1] + validT o :Date [0..1]

«codeList» INECode

code :INECode populatedPlaceNumber :int

{T opologicalConstraint}

A3. Demography

«voidable» + periodOfMeasurement :TM_Period [0..1]

geometryT ype :GeometryT ypeValue mostDetailedScale :Integer [0..1] leastDetailedScale :Integer [0..1]

«voidable»

A1. Administration boundaries

value :Number [0..1] specialValue :SpecialValue [0..1] conventionallyLocatedProportion :Number [0..1] approximatelyLocatedPopulationProportion :Number [0..1] comment :PT _FreeText [0..1] flags :PT_FreeT ext [0..1] status :StatisticalDataStatusValue

constraints {GeneralisedGeometryConstraint} {ScaleRelationConstraint}

«lifeCycleInfo» Lineage

«featureT ype» PopulatedPlace + +

+ + + + + + +

constraints «dataType» Statistical Units Vector:: GeometryDescriptor

constraints {AreaStatisticalUnitsConstraint}

{TopologicalConstraint} Hierarchical composition

1

«dataType» Population distribution - demography::StatisticalValue

«featureT ype» Statistical Units Vector::VectorStatisticalUnit + + + + + +

Settlements

«dataType» Population distribution demography::Dimensions

+spatial

«voidable» + connectionToElectricity :Boolean [0..1] + connectionToGas :Boolean [0..1] + connectionToSewage :Boolean [0..1] +cadastralParcel + connectionToWater :Boolean [0..1] «voidable» + document :Document [0..*] + energyPerformance :EnergyPerformance [0..1] + heatingSource :HeatingSourceValue [0..*] + heatingSystem :HeatingSystemValue [0..*] + address :AddressRepresentation [0..*] + officialArea :OfficialArea [0..*] + officialValue :OfficialValue [0..*]

«featureT ype» BuildingsExtendedBase::BuildingInfo «voidable» + heightBelowGround :Length [0..1] + numberOfFloorsBelowGround :Integer [0..1] + floorDistribution :FloorRange [1..*] + floorDescription :FloorDescription [0..*] + roofType :RoofT ypeValue [0..*] + materialOfFacade :MaterialOfFacadeValue [0..*] + materialOfRoof :MaterialOfRoofValue [0..*] + materialOfStructure :MaterialOfStructureValue [0..*]

«featureType» BuildingsExtended2D:: Building

A3. Buildings 24

 Design for the settlements

FISICAL DESIGN (SETTLEMENTS GRD , IGN‐ES) Catalog

Settlement geometries (Parcels and  polygons linked to the settlement id)

Boundaries

1, 2

M

M 1 25

 Design for the settlements

FISICAL DESIGN (SETTLEMENTS GRD , IGN‐ES) How to give different answers?   taking into account land use Settlement boundary HILUCS

SETTLEMENT  USE

Settlement land use areas 26

2. PRODUCTION

27

 SETTLEMENTS PRODUCTION

Roadmap

GRDv0

Topographic Compilation Carto DB: …2015

GRDv1

Automatic extraction IGR DB: 2015,16

Production sys. IGR DB: 2016…

28

 SETTLEMENTS PRODUCTION

Settlements GRD v0 • Existing cartography from topographic maps

GRDv0

• Manual capture (photointerpretation for topo‐maps) • Resolution: 5‐20 metres

-> 2015

29

 SETTLEMENTS PRODUCTION

Settlements GRD V1 • Automatic production ≈ 70‐80% automation • Vectorial capture: cadastrial data

GRDv1

• Vectorial extraction: automatic • Names: based on official sources • Objetive and homogeneus: common technnical criteria nationwide

2016->

• Execution time: 2016

Zone1: product. Zone2: analisys

30

 SETTLEMENTS PRODUCTION

Production methodology developed PARCEL  ALLOCATION

PostGIS DDBB

LOAD  DATABASE

MANUAL  EDITION

BOUNDARY  EXTRACTION

VALIDATION

31

 SETTLEMENTS PRODUCTION PARCEL  ALLOCATION

Unique identifier assigned to each one of  the urban parcels Geometry: detail part of the settlement

Urban (93%) URBAN  PARCELS

Rural (7%) BUILDINGS IN  RURAL PARCELS

32

 SETTLEMENTS PRODUCTION PARCEL  ALLOCATION

Unique identifier assigned to each one of  the urban parcels

Geometry + cadastral reference

1.

[Cadastral ref.] = 6004901UL9560S Id settlement= 123456789 Id = 123456789 Geo. Name: Urbanización las Mimosas-La Chismosa Gazeteer code = 03099000817

Automatic process

2.

Settlement (name, id and code): Adresses, Population gazetteer,  streets, Cartography

Id = 123456788 Geo.Name: Las Piscinas-Sector J-1 Gazeteer code = 03099000828 33

 SETTLEMENTS PRODUCTION PARCEL  ALLOCATION

Unique identifier assigned to each one of  the urban parcels

Results: 13 M loaded parcels • 3 % without id • 25% conflicts  > 70% automation

34

 SETTLEMENTS PRODUCTION MANUAL  EDITION

8‐10 months of manual edition Error in geographic name

Parcels without link

Parcels in wrong settlement

Parcels that are not settlement

35

 SETTLEMENTS PRODUCTION

Automatic result without editing

BOUNDARY  EXTRACTION

1. Data extraction

2. Dispersion

Automatic process

3. Auxiliar info.  allocation

4. Boundaries

36

 SETTLEMENTS PRODUCTION Current production state Leyend Pending Proposal with region Manual EDITION QUALITY control Loaded DB

80% Produced Finish in December 2016 Loaded in early 2017

37

 SETTLEMENTS PRODUCTION

Technologies Design

Development

Edition and quality

Load and management

Platform

38

3. Maintenance. Production system

39

 SETTLEMENTS PRODUCTION SYSTEM

“Production system” DB SETT

GRDv1

Official sources

Content

Fundamental(core): urban areas Complete urban, rural  and others areas for live and work

updating

1 year for the core: automatic 3 years complete (new version): automatic + manual review

Resolution

<= 1 metre

Metodology

Automation of production > 70%, automatic change detection, manual review

Production

Coordinate updating at national and regional levels Bottom‐up approach 40

 SETTLEMENTS PRODUCTION SYSTEM

• Lines of work: •

Complete the rest of the territory through agreements with the  regional agencies



Stablish harmonized work flows between national and regional  organizations to automate the production (statistical units ,  geograhical names, parcels and buildings) 



Bottom‐up approach. Coordinate a joint and single production of  settlements with all regional agencies: technical specifications and  production cycles



Maintenance: o

Develop automatic processes to link cadastrial data

o

Develop automatic change detectors based on Lidar, images, to reduce  cost and time of production

41

 Conclussions  IGN_ES is promoting and coordinating the production of  this fundamental data set at national and regional level  Achieve automation > 70%  Homogeneous and objective nationwide  Metodology based on cadastrial data provides the concept  of real state and official boundaries of the territory  We delay in the availability of data this year to early 2017  mainly due to the current economic and politic situation  and its impact significantly on the ability to involve  resources in the project 42

Thank you for your attention

Eduardo Núñez Maderal National Geographic Institute of Spain [email protected] July 15th 2016

ISPRS 2016

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