Corine Land Cover 2006

Similar documents
JRC on 9 November 2009 Biosoil Conference 1.

Mapping Guide. for a European Urban Atlas. Regional Policy

CORINE LAND COVER CLASSES

Government 98dn Mapping Social and Environmental Space

GMES-DSL GMES - Downstream Service Land: Austria-Slovenia-Andalusia. Concept for a Harmonized Cross-border Land Information System.

Global environmental information Examples of EIS Data sets and applications

INSPIRE D LINKED OPEN DATA TOWARDS

Developments toward a European Land Monitoring Framework. Geoff Smith. Seminar 2 nd December, 2015 Department of Geography, University of Cambridge

Understanding Raster Data

VHR Thematic Maps from Aerospace for Regional and Provincial Urban Planning

Climate, Vegetation, and Landforms

TOPOGRAPHIC DATA AND ROUGHNESS PARAMETERISATION EFFECTS ON 1D FLOOD INUNDATION MODELS. Supervisor: S. Anders Brandt Examinator: Bo Malmström

Outline - needs of land cover - global land cover projects - GLI land cover product. legend. Cooperation with Global Mapping project

Communities, Biomes, and Ecosystems

APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SUSTAINABLE ENVIRONMENTAL MANAGEMENT

Big Data Challenge: Mining Heterogeneous Data. Prof. Mihai Datcu. German Aerospace Center (DLR) Munich Aerospace Faculty

Image Analysis CHAPTER ANALYSIS PROCEDURES

Time and Trees on the Map Land Cover Database 4

WONDERFUL, WATERFUL WETLANDS

CORINE LAND COVER 2006 The Norwegian CLC2006 project

COASTAL MONITORING & OBSERVATIONS LESSON PLAN Do You Have Change?

Degree of human transformation of landscapes: a case study from Hungary

Chapter 3 Communities, Biomes, and Ecosystems

LAND USE INFORMATION SYSTEM: ADAPTATION OF THE USGS SYSTEM FOR REGIONAL PLANNING

Liberia Forest Mapping. World Bank January 2012

Methods for Monitoring Forest and Land Cover Changes and Unchanged Areas from Long Time Series

Remote Sensing and GIS Application In Change Detection Study In Urban Zone Using Multi Temporal Satellite

Laws to promote environmental sustainability of oceans and seas

Creating Green Jobs within the Environment and Culture sector.

National Inventory of Landscapes in Sweden

Global Water Resources

Earth from all angles

AERIAL PHOTOGRAPHS. For a map of this information, in paper or digital format, contact the Tompkins County Planning Department.

June, 2006 Tutorial: Create map with multiple views and data layers using ArcMap GIS 9.0

Big Data Analytics for Detailed Urban Mapping. Mihai Datcu Daniela Molina Espinoza, Octavian Dumitru, Gottfried Schwarz

Objectives. Raster Data Discrete Classes. Spatial Information in Natural Resources FANR Review the raster data model

Biomes An Overview of Ecology Biomes Freshwater Biomes

Agricultural Production and Research in Heilongjiang Province, China. Jiang Enchen. Professor, Department of Agricultural Engineering, Northeast


Since early 1994, The Northern Sacramento Valley Sustainable Landscapes

Measuring Women Status And Gender Statistics in Cambodia Through the Surveys and Census


AQUATIC ECOSYSTEMS & BIOMES

Martin County Coastal GIS Program St Lucie Inlet Planning Tool

Nature Values Screening Using Object-Based Image Analysis of Very High Resolution Remote Sensing Data

APPENDIX D. EXAMPLES OF OTHER FORMATION-LEVEL CLASSIFICATIONS

COUNTRYSIDE SURVEY: LAND COVER MAP 2007 DATASET DOCUMENTATION. Photograph - istockphoto

Urban Atlas DELIVERY OF LAND USE/COVER MAPS OF MAJOR EUROPEAN URBAN AGGLOMERATIONS.

Land Cover Mapping of the Comoros Islands: Methods and Results. February ECDD, BCSF & Durrell Lead author: Katie Green

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS

Coastal Engineering Indices to Inform Regional Management

How To Update A Vegetation And Land Cover Map For Florida

Conducting a Land Use Inventory

CITY OF SUFFOLK, VIRGINIA GIS DATA DISTRIBUTION AND PRICING POLICY

Aquatic Biomes, Continued

The Wildland-Urban Interface in the United States

+GIO land. Status GMES Land Services. 18 Juni 2012, DeCover2 Abschlussveranstaltung, DLR.

LCCS & GeoVIS for land cover mapping. Experience Sharing of an Exercise

Description of Simandou Archaeological Potential Model. 13A.1 Overview

San Francisco Bay Margin Conservation Decision Support System (DSS)

Available study programs at Czech University of Life Sciences Prague

THE NATURAL RESOURCES AND ENVIRONMENT ORDINANCE (CAP LAWS OF SARAWAK, 1958 Ed.)

Description of the table of the in-situ data requirements of GMES services

Most informed people realize that cumulative impacts have had

Magic in the Cloud Service. URL Parameters Document Version /08/15. Magic in the Cloud Service URL Parameters Document v20.

APPLICATION OF MULTITEMPORAL LANDSAT DATA TO MAP AND MONITOR LAND COVER AND LAND USE CHANGE IN THE CHESAPEAKE BAY WATERSHED

CIESIN Columbia University

Applying the Global Standard FAO LCCS to Map Land Cover of Rural Queensland

4. Which choice below lists the biomes in order from lowest precipitation amounts to highest precipitation amounts?

WHAT IS GIS - AN INRODUCTION

SOKOINE UNIVERSITY OF AGRICULTURE

Michigan Wetlands. Department of Environmental Quality

Moderate- and high-resolution Earth Observation data based forest and agriculture monitoring in Russia using VEGA Web-Service

CORINE Land Cover 2000 Germany

Geospatial Information for disaster risk reduction and natural resources management. Rolando Ocampo Alcántar

Although greatly MOUNTAINS AND SEA BRITISH COLUMBIA S AWIDE RANGE OF. Environment. Old Forests. Plants. Animals

FRENCH ARCTIC INITIATIVE SCIENTIFIC PRIORITIES

Integration of GIS and Multivariate Statistical Analysis in Master Plan Study on Integrated Agricultural Development in Lao PDR

A GIS PRIMER ON HOW TO ILLUSTRATE SPATIAL DATA AND INFORMATION GENERATED THROUGH NATIONAL FOREST INVENTORIES

Overview of Reclamation of Lands Disturbed by Mining for Heavy Minerals in OZ and USA. Heavy Mineral Sands

Technical Study and GIS Model for Migratory Deer Range Habitat. Butte County, California

Assessment of environmental vulnerability of Maputo bay using Remote Sensing data and GIS

A HIERARCHICAL APPROACH TO LAND USE AND LAND COVER MAPPING USING MULTIPLE IMAGE TYPES ABSTRACT INTRODUCTION

A SOIL TESTING SERVICE FOR FARMERS IN THAILAND, USING MOBILE LABORATORIES

State Environmental Monitoring (PMŚ) for Copernicus

CAPAS: A Service for Improving the Assignments of Common Agriculture Policy Funds to Farmers and Land Owners

Proposal for a Discovery-level WMO Metadata Standard

Remote Sensing and Land Use Classification: Supervised vs. Unsupervised Classification Glen Busch

06 - NATIONAL PLUVIAL FLOOD MAPPING FOR ALL IRELAND THE MODELLING APPROACH

The Effects of Climate Change on Water Resources in Spain

Key Idea 2: Ecosystems

Remote sensing for the MTS

Status and National Priorities of Soil Resources in Sri Lanka

Statistical Profile of Lunenburg County

MANUAL FOR AERIAL PHOTO INTERPRETATION IN THE NATIONAL INVENTORY OF LANDSCAPES IN SWEDEN NILS YEAR 2003

MANAGING WETLANDS IN ACCRA, GHANA

GIS Data Quality and Evaluation. Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University

Spatial data analysis: retrieval, (re)classification and measurement operations

FOREST PLANNING SOFTWARE DEVELOPMENT IN NORWAY

Transcription:

Corine Land Cover 2006 Document updated: MK 14.12.2011, English version 20.7.2012/ae, 16.11.2012 MK, 18.4.2012MK Contents 1. Feature Attribute... 1 2. Classification... 2 3. Additional Information... 4 4. UML-model... 6 1. Feature Attribute The dataset is located in the INSPIRE2-database. Clc2006EU25ha Feature Attribute KohdeTunnus Id code of the polygon Level1 Main class Level2 Class 2 Level3 Class 3 Luokka3 Class 3 (as text field) MuutosPvm Date when data has been modified in SYKE Shape.area Area of the polygon in square meters Shape.len Polygon perimeter in meters Clc200625m Feature Attribute Level1 Main class Level2 Class 2 Level3 Class 3 Luokka3 Class 3 (as text field) Level4 Sub-class 4 MuutosPvm Date when data has been modified in SYKE Clc2006Taulu Feature Attribute Level1 Main class Level1Suo Name of the main class in Finnish Level1Eng Name of the main class in English Level2 Class 2 Level2Suo Name of the class 2 in Finnish Level2Eng Name of the class 2 in English Level3 Class 3 Level3Suo Name of the class 3 in Finnish Level3Eng Name of the class 3 in English Cha2006_5ha Finnish Environment Institute Spatial dataset Feature Attribute 1

Feature Attribute KohdeTunnus Luokka3_00 Luokka3_06 Luokkamuutos CLC2000 - CLC2006 MuutosTyyppi MuutosPvm Id code of the polygon Class 3 value in the CLC2000-dataset Class 3 value in the CLC2006-dataset Class change CLC2000 CLC2006 R = Actual change Date, when data has been modified in SYKE 2. Classification The CORINE 2006 classification is hierarchical including three classes in the generalized vector dataset and four classes in the raster dataset. Class names are listed in Finnish and in English in a separate form "clc_luokat.xls". All classes are not present in Finland and all level 3 classes are not present in level 4. The VALUE-field in the attribute table refers to the raster data. Detailed descriptions of classes, source layer information and source age are in the chapter 3. Official CORINE class definition, see EEA webbsite http://sia.eionet.europa.eu/clc2000/classes/index_html ** = Classes are not represented in Finland Level 1 Level 2 Level 3 Level 4 1. Artificial 1.1 Urban fabric 1.1.1 Continuous urban fabric 1.1.1.0 Continuous urban fabric surfaces 1.1.2 Discontinuous urban fabric 1.1.2.0 Discontinuous urban fabric 1.2 Industrial, commercial and transport units 1.2.1 Industrial or commercial units 1.2.1.0 Industrial or commercial units 1.2.2 Road and rail networks and associated land 1.2.2.0 Road and rail networks and associated land 1.2.3 Port areas 1.2.3.0 Port areas 1.2.4 Airports 1.2.4.0 Airports 1.3 Mine, dump and construction sites 1.3.1 Mineral extraction sites 1.3.1.0 Mineral extraction sites 1.3.2 Dump sites 1.3.2.0 Dump sites 1.3.3 Construction sites 1.3.3.0 Construction sites 1.4 Artificial, non-agricultural 1.4.1 Green urban areas 1.4.1.0 Green urban areas vegetated areas 1.4.2 Sport and leisure facilities 1.4.2.1 Summer cottages 1.4.2.2 Sport and leisure facilities 1.4.2.3 Golf courses 1.4.2.4 Trotting tracks 2. Agricultural 2.1 Arable land 2.1.1 Non-irrigated arable land 2.1.1.0 Non-irrigated arable land areas 2.1.2 Permanently irrigated land ** 2.1.3 Rice fields ** 2.2 Permanent crops 2.2.1 Vineyards ** 2.2.2 Fruit trees and berry plantations 2.2.2.0 Fruit trees and berry plantations 2.2.3 Olive groves ** 2.3 Pastures 2.3.1 Pastures 2.3.1.0 Pastures 2.4 Heterogeneous agricultural areas 2.4.1 Annual crops associated with permanent crops ** 2.4.2 Complex cultivation Finnish Environment Institute Spatial dataset Feature Attribute 2

2.4.3 Land principally occupied by agriculture, with significant areas of natural vegetation 2.4.3.0 Land principally occupied by agriculture, with significant areas of natural vegetation 2.4.4 Agro-forestry areas 3. Forests and 3.1 Forests 3.1.1 Broad-leaved forest 3.1.1.1 Broad-leaved forest in mineral land semi-natural areas 3.1.1.2 Broad-leaved forest in peatland 3.1.2 Coniferous forest 3.1.2.1 Coniferous forest in mineral soil 3.1.2.2 Coniferous forest in peatland 3.1.2.2 Coniferous forest in rocky soil 3.1.3 Mixed forest 3.1.3.1 Mixed forest in mineral soil 3.1.3.2 Mixed forest in peatland 3.1.3.3 Mixed forest in rocky soil 3.2 Shrub and/or herbaceous 3.2.1 Natural grassland 3.2.1.0 Natural grassland vegetation associations 3.2.2 Moors and heathland 3.2.2.0 Moors and heathland 3.3 Open spaces with little or no vegetation 3.2.3 Sclerophyllous vegetation ** 3.2.4 Transitional woodland/shrub 3.2.4.1 Transitional woodland/shrub, cc < 10% 3.2.4.2 Transitional woodland/shrub, cc 10-30%, in mineral soil 3.2.4.3 Transitional woodland/shrub, cc 10-30%, in peatland 3.2.4.4. Transitional woodland/shrub, cc 10-30%, in rocky soil 3.2.4.5 Transitional woodland/shrub, cc < 30%, above timber line 3.2.4.6 Transitional woodland/shrub, in energy maintenance areas 3.3.1 Beaches, dunes, and sand plains 3.3.1.0 Beaches, dunes, and sand plains 3.3.2 Bare rock 3.3.2.0 Bare rock 3.3.3 Sparsely vegetated areas 3.3.3.0 Sparsely vegetated areas 3.3.4 Burnt areas ** 3.3.5 Glaciers and prepetual snow ** 4. Wetlands 4.1 Inland wetlands 4.1.1 Inland marshes 4.1.1.1 Inland marshes, terrestrial 4.1.1.2 Inland marshes, aquatic 4.1.2 Peatbogs 4.1.2.1 Peatbogs 4.1.2.2 Peat production sites 4.2 Coastal wetlands 4.2.1 Salt marshes 4.2.1.1 Salt marshes, terrestrial 4.2.1.2 Salt marshes, aquatic 4.2.2 Salines ** 4.2.3 Intertidal flats ** 5. Water bodies 5.1 Inland waters 5.1.1 Water courses 5.1.1.0 Water courses 5.1.2 Water bodies 5.1.2.0 Water bodies 5.2 Marine waters 5.2.1 Coastal lagoons ** 5.2.2 Estuaries ** 5.2.3 Sea and ocean 5.2.3.0 Sea and ocean Finnish Environment Institute Spatial dataset Feature Attribute 3

3. Additional Information Source element layer The VALUE field in the Source data attribute table stands for pixel source data for CLC2006 land use / land cover (25m) raster. Value Code Source data 1 100 Corine Land Cover 2000 2 200 Building and Dwelling Register 2006 (Rakennus- ja huoneistorekisteri) 3 300 Digiroad 2005 4 400 Shores in scale 1:10000 5 510 Topo-railroads 2006 6 520 MTK-bogs 2006 7 521 MTK-bogs 2006 + Interpretation of land cover in forests 2006 (Metla) 8 522 MTK-bogs 2006 + Interpretation of land cover in forests 2006 (Metla) + Ranta10 9 523 MTK-bogs 2006 + Ranta10 dataset 10 530 MTK-bogs 2007 11 540 MTK-rocky areas 2006 12 541 MTK-rocky areas 2006 + Interpretation of land cover in forests 2006 (Metla) 13 600 Slices 2005 14 601 Slices 2005 + Interpretation of land cover in forests 2006 (Metla) 15 700 Agricultural land parcel database, The Finnish Land Parcel Identification System (FLPIS) from Association for Rural Affairs and Ministry of Agriculture and Forestry Information centre 16 701 Agricultural land parcel database The Finnish Land Parcel Identification System (FLPIS) from Association for Rural Affairs and Ministry of Agriculture and Forestry Information centre + Interpretation of land cover in forests 2006 (Metla) 17 810 Interpretation of land cover in forests 2006 (Metla) 18 811 Interpretation of land cover in forests 2006 (Metla) + MTK-rocky areas 2006 19 812 Interpretation of land cover in forests 2006 (Metla) + MTK-bogs 2006 20 820 Interpretation of land cover in forests 2000 (SYKE) 21 821 Interpretation of land cover in forests 2000 (SYKE) + MTK-rocky areas 2006 22 822 Interpretation of land cover in forests 2000 (SYKE) + MTK-bogs 2006 23 830 Interpretation of land cover in forests 2000 (SYKE) + Interpretation of land over in forests 2006 (Metla) + IMAGE2000 + IMAGE2006 + IMAGE2007(DTM) 24 831 Interpretation of land cover in forests 2000 (SYKE) + Interpretation of land cover in forests 2006 (Metla) + IMAGE2000 + IMAGE2006 + IMAGE2007(DTM) + MTK-rocky areas 2006 25 832 Interpretation of land cover in forests 2000 (SYKE) + Interpretation of land cover in forests 2006 (Metla) + IMAGE2000 + IMAGE2006 + IMAGE2007(DTM) + MTK-bogs 2006 26 840 Estimation of land cover in northernmost Finland 2006 (SYKE) 27 850 Estimation of land cover in northernmost Finland 2000 (SYKE) Finnish Environment Institute Spatial dataset Feature Attribute 4

28 900 IMAGE2006 29 901 Digitized data, interpreted IMAGE2006 30 902 Digitized data + Slices 2005 + Dump sites 2007 31 903 Digitized data + MTK-rocky areas 2006 + Artificial areas updated based on satellite images + Soil extraction sites, digitized by local environmental centres (Motto) + Slices 2005 32 904 Digitized data + Building and Dwelling Register 2006 + Build-up areas updated based on satellite images Topo = a topographic database on scale 1:5 000-1:10 000 maintained by the National Land Survey of Finland. The printed base maps and digital map products of the National Land Survey are based on the Topographical database. The database is continuously updated. The information covers the whole Finland, except for the northernmost parts of Lapland. SLICES = The SLICES Land use element is a combination of different national GIS databases owned and updated by different organizations. In the CLC2006 production the SLICES land use element (25x25m) was utilized mainly in production of artificial surfaces and agricultural areas and peat production areas. NFI = National forest inventory by the Finnish Forest Research Institute Metla SYKE (Suomen ympäristökeskus) = Finnish Environment Institute Age element layer Age element is an ArcInfo GRID-database, where the known production year of the source data is in the VALUE-field. The pixels having more than one source data have are given an age of the most substantial data source. Pixels which could not be dated have a nodata in the VALUE-field. The VALUE field in the Source data attribute table stands for pixel age for CLC2006 land use / land cover (25m) raster. The age element of the Corine2006 land cover/land use (25m) dataset is produced from the Corine2006-land cover/land use (25m) source element dataset. All pixels have an age based on a age of the source data. Source information ages have been identified as follows: Material name Age or extraction year CorineLandCover 2000 2000 Housing and dwelling register 2006 2006 Digiroad 2005 Data extracted 2005 Ranta10 Data extracted 2003 MTK 2006 Data extracted 2006 MTK 2007 Data extracted 2007 SLICES 2005 2005 Agricultural land parcel database The Finnish Land Parcel Identification System (FLPIS) 2006 Interpretation of land cover in forests 2006 (Metla) The year when the satellite image was taken Interpretation of land cover in forests 2000 (SYKE) 2000 Est. of land cover in northernmost Finland 2006 The year when the satellite image was taken Est. of land cover in northernmost Finland 2000 2000 IMAGE2006 The year when the satellite image was taken Digitized data The year when the satellite image was taken Finnish Environment Institute Spatial dataset Feature Attribute 5

4. UML-model Finnish Environment Institute Spatial dataset Feature Attribute 6