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

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

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

Definitions [Directive 2007/2/CE] 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

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

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

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

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

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

INSPIRE INSPIRE HILUCS

Land Monitoring Service 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

Eionet Action Group on Land monitoring in Europe 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

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

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

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

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

SIOSE SIOSE 18

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

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

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

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

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

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

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

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

OUTLINES SPAIN offers MS benefits MS demands 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

Thanks Antonio Arozarena Instituto Geográfico Nacional SPAIN aarozarena@fomento.es 11/09/2018 3:15:21 28