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 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. 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

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 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 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 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 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. 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

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

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 (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) 15

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 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 17

17. SIOSE
SIOSE 18

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

19. 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 (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 21

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. 22

22. NATIONAL FOREST MAP & INVENTORY
FOREST MAP Agriculture, Food and Environment Ministry
Reference scales: 1: & 1:
Detailed information about forest uses and summarized data about the rest of the territory. 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 24

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: (’70-’90) regional and local 25

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, points 2012 26

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

27. Thanks Antonio Arozarena Instituto Geográfico Nacional SPAIN
11/09/2018 3:15:21 28