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LC & LU databases coordination in Spain

This article discusses the integration of databases for land use coordination in Spain, including existing land use data, planned land use, and the INSPIRE framework.

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LC & LU databases coordination in Spain

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  1. LC & LU databases coordination in Spain Integration with other Reference Data Copenhaguen September 19th, 2012 1

  2. Index • Introduction: UN, INSPIRE, GMES, EAGLE • Land Use in Spain • Existing Land Use Data Sets in Spain • Outlines

  3. UN • UN Global Geospatial Information Management(GGIM) • Addressing to integrated LC and LU information system (New York August 13th, 2012) • UN FCCC & Kyoto Protocol • Land Use changes 3

  4. INSPIRE Definitions [Directive 2007/2/CE] • Land Cover (A.II-2): Physical and biological cover of the earth's surface including artificial surfaces, agricultural areas, forests, (semi-natural areas, wetlands, water bodies. • Land Use (A.III-4): Territory characterised according to its current and future planned functional dimension or socio-economic purpose (e.g. residential, industrial, commercial, agricultural, forestry, recreational). <<Mutual existence dependency>> 4

  5. INSPIRE • INSPIRE Land Use • Descriptive methodology to allow any system • Any nomenclature, presences by %, or geometry (polygons, points, raster) • Creation of hierarchical classification (HILUCS) • Compulsory, any element must to have at least one value of HILUCS • Categorization of different LU dimensions depending on posterior users and applications • Existing land use • Planned land use 6

  6. INSPIRE • INSPIRE Existing Land Use • Geographical datasets that provide Land Use information at the time of observation • Land monitoring component, defined by users needs and production limitations -> mmu, pixel resolution, etc. • Current utility of surface 7

  7. INSPIRE • INSPIRE Planned Land Use • Information about spatial planning made by public administrations • Demands only regulated by elaborated approved documents (normative, plans, rules, etc.) • Future utility of surface 8

  8. INSPIRE • INSPIRE Planned & Existing Land Use • Common core model • Makes possible LU polygons description by label, more than one label or percentages • Same HILUCS classification • Temporal consideration • Current Planned LU will (should) be Existing LU in the future • First harmonized comparison tool between Planned and Existing at European level • Use the GRD like basic structure to harmonization processes 9

  9. INSPIRE • INSPIRE HILUCS (Hierarchical INSPIRE Land Use Classification System) • First pan-european consolidated nomenclature • Reached and translatable to current standards and information systems • Global: UN ISIC, UN SEEA • European: EC NACE, Eurostat LUCAS, GMES UrbanAtlas • National: Flanders Codex RO, French CNIG POS et PLU, German 3A, German XPlanGML, Dutch LGN, Dutch BBG, Spanish SIOSE. • 99 hierarchised classes with 3 levels. Freedom for data producer/publisher to use more adequate level per its data. 10

  10. INSPIRE • INSPIRE HILUCS

  11. GMES • Land Monitoring Service • Accurate and cross-border harmonised geo-information at global to local scales • EUROLAND: Land Cover and Land Use monitoring: • Local component: Urban Atlas • Continental component: HR Layers, CORINE Land Cover • Core Mapping Services (EUROLAND + physical parameters and seasonal change detection) • SPATIAL PLANING • Tools to describe, explain and forecast urban land use changes supporting spatial planning from Regional to European scale • Core Mapping Services are employed for production of spatial planning indicators and urban growth scenarios 12

  12. EAGLE group • Eionet Action Group on Land monitoring in Europe • Working to support the development of a new European land monitoring programme • Taking into account INSPIRE, GMES, FAO LCCS and national programmes • Result • Extended and integrated model for INSPIRE LC and LU focused on: • to complete traditional systems (i.e. CORINE with parameters) • to motivate new advanced system (i.e. object oriented systems) INSPIRE EAGLE Model enhanced CORINE LCCS CORINE GMES … 13

  13. LAND USE in SPAIN • Data spread and mixed with land cover data or urban plans, not made expressly for LU account but for other purposes • Need of harmonization • between different administration levels and sectorial departments • many information sources in diverse models/structures • Competences: • Planned Land Use: • Decentralized to Regions and Municipalities: Urban growth (residential, industrial, commercial, services, etc.) • Centralized by ministries: Only National works and plans (rail, roads, environmental plans, public domain, etc.) • Existing Land Use: subsidiary actions by mapping agencies and thematic systems (industrial, agricultural databases) from collateral organizations 14

  14. SIU SIU (Urban Information System) Public Works Ministry • National integration of local/territorial urban plans and statistical data on cities • Planning status and temporal reference • Classification of land according buildability nature (urbanized, to be urbanized, not urbanized) • http://siu.vivienda.es/siu/PortalSiu.html# 15

  15. SEPES SEPES (Land State Entity) Public Enterprise, Public Works Ministry • look for and manage public land where a spatial plan can be developed • offers to private initiatives, administrations and general public • http://www.sepes.es/ 16

  16. SIOSE SIOSE (Land Cover & Land Use Spanish Information System) Coordinated by Public Works Ministry (IGN) • National reference database for LC & (existing) LU Scale 1:25.000, mmu 2-0.5ha • Focused modelization on LC & LU, different concepts but coordinated results placed in same database LC completely developed, complete LU foreseen • Easy to extract Existing LU from LC classes, specially artificial covers • SIU • HLANDATA • Populated places • http://www.siose.es/ • http://www2.ign.es/iberpix/visoriberpix/visorign.html 17

  17. SIOSE • SIOSE 18

  18. SIOSE • SIOSE results for SIU • To complete those municipalities without spatial planning • Supply LC and existing LU stats for all urban areas 19

  19. SIOSE • SIOSE results for HLANDATA • Creation of value-added services based on Harmonized Land Use and Land Cover Datasets, according INSPIRE data specifications 20

  20. SIGPAC • SIGPAC (LPIS) Agriculture, Food and Environment Ministry • Spanish Land Parcel Identification System (GRD 1:5.000 Cadastre) • Homogeneous LU information about typology and intensity/yield, only for agricultural scope • http://sigpac.mapa.es/fega/visor/ 21

  21. CADASTRE • CADASTRE Treasury and Public Administration Ministry • Information system non-focused on LU, but with LU data. • Reference scale: 1:1.000 urban areas, 1:5.000 rural areas. • LU classification. Building typology, dimension and volume for artificial areas; and cadastral valuation for agricultural areas. • http://ovc.catastro.meh.es/ 22

  22. NATIONAL FOREST MAP & INVENTORY • FOREST MAP Agriculture, Food and Environment Ministry • Reference scales: 1:25.000 & 1:50.000. • Detailed information about forest uses and summarized data about the rest of the territory. • http://sig.magrama.es/bdn/ 23

  23. MCA (Agricultural crops) • MCA Agriculture, Food and Environment Ministry • National crop and land use map 1:50.000 • Agricultural description of land • Integration of forest information fcc, forest state, tree shape • http://sig.magrama.es/siga/ 24

  24. AGROLOGICAL MAP • AGROLOGICAL MAP Agriculture, Food and Environment Ministry & CCAA • Land aptitude to allocate crops depending on terrain characteristics fertility, water, slope, erosion, texture, degradation, salinity, etc. • National map 1:50.000 (’70-’90) regional and local 25

  25. ESYRCE • ESYRCE coordinated by Agriculture, Food and Environment Ministry • Statistical analysis about surfaces and crop yield • Annual revision from 1990, direct data field capture, survey of 3%-15%, from may-august, 44000 points 2012 • http://www.magrama.gob.es/es/estadistica/temas/estadisticas-agrarias/agricultura/esyrce/ 26

  26. OUTLINES • SPAIN offers • Much LU information spread in different sources • Experience in efficient modeling (SIOSE) and influence to European initiatives (INSPIRE, EAGLE) • Real application in feasible production with profitable results (SIOSE) • MS benefits • Harmonized data • Shareable information • Cost reduced • MS demands • Coordinated production (bottom-up) • LU data need an accuracy and harmonised GRD • Synchronized calendars • Funding 27

  27. Thanks Antonio Arozarena Instituto Geográfico Nacional SPAIN aarozarena@fomento.es 21/10/2019 6:28:35 28

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