Urban Atlas: land cover data: Difference between revisions

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[[Category:IEHIAS Data]]
[[Category:IEHIAS Data]]
[[Category:IEHIAS Environmental factors]]
[[Category:IEHIAS Environmental factors]]
:''The text on this page is taken from an equivalent page of the [[Talk:IEHIAS|IEHIAS]]-project.


[http://www.eea.europa.eu/data-and-maps/data/urban-atlas The Urban Atlas] provides digital land cover data for large urban settlements (with a population of more than 100,000) in the EU, as a basis for monitoring and managing urban development and land use change.  It has been developed to resolve the limited discrimination of urban areas given by most traditional land cover datasets, based on satellite data, ehich have focused on rural areas - on (semi-) natural vegetation cover, forestry and agricultural land use.  
[http://www.eea.europa.eu/data-and-maps/data/urban-atlas The Urban Atlas] provides digital land cover data for large urban settlements (with a population of more than 100,000) in the EU, as a basis for monitoring and managing urban development and land use change.  It has been developed to resolve the limited discrimination of urban areas given by most traditional land cover datasets, based on satellite data, ehich have focused on rural areas - on (semi-) natural vegetation cover, forestry and agricultural land use.  
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==See also==
{{IEHIAS}}

Latest revision as of 19:03, 25 September 2014

The text on this page is taken from an equivalent page of the IEHIAS-project.

The Urban Atlas provides digital land cover data for large urban settlements (with a population of more than 100,000) in the EU, as a basis for monitoring and managing urban development and land use change. It has been developed to resolve the limited discrimination of urban areas given by most traditional land cover datasets, based on satellite data, ehich have focused on rural areas - on (semi-) natural vegetation cover, forestry and agricultural land use.

Ultimately, over 300 urban areas will be covered; currently data for 228 have been completed. Mapping is based on analysis of thousands of satellite images and data are presented at a 1:10,000 scale, with a minimum mapping unit area of 0.25 ha for urban land classes and 1 ha for non-urban classes. The classification has four levels and recognises a total of 27 land cover classes, of which three (top-level classes) are non-urban (see Table below). Overall classification accuracy is estimated to be 80%. A mapping guide is available describing the land cover classification and analytical methodology.

Data are provided as raster files, in ESRI format - one for each urban area. Vector data are also available on request.

Level 1 Land cover class Level 2 Land cover class Level 3 Land cover class Level 4 Land cover class
1 Artificial surfaces 1.1 Urban fabric 1.1.1 Continuous urban fabric
1.1.2 Discontinuous ubran fabric 1.1.2.1 Discontinuous dense ubran fabric
1.1.2.2 Discontinuous medium fabric ubran fabric
1.1.2.3 Discontinuous low density ubran fabric
1.1.2.4 Discontinuous very low density ubran fabric
1.1.3 Isolated structures
1.2 Industrial, commercial, public, military, private and transport units 1.2.1 Industrial, commercial, public, military and private units
1.2.2 Road and rail network and associated land 1.2.2.1 Fast transit roads and associated land
1.2.2.2 Other roads and associated land
1.2.2.3 Railways and associated land
1.2.3 Port areas
1.2.4 Airports
1.3 Mine, dump and construction sites 1.3.1 Mineral extraction and dump sites
1.3.3 Continuous sites
1.3.4 Land without current use
1.4 Artificial non-agricultal vegetated surfaces 1.4.1 Green urban areas
1.4.2 Sports and leisure facilities
2 Agricultural areas, semi-natural areas and wetlands
3 Forests
4 Water

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages
Toolkit
Data

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty
Appraisal