Objective
Satellite data from the DMSP OLS sensor can be used to routinely map night-time light emissions over large areas.
The MANTLE study aims to investigate whether these data can be used as a surrogate for a range of socio-economic indicators, including: population size/density, urban population numbers, total energy consumption by sector of activity, energy waste, GDP urban typology, rural tranquillity and landscape/skyscape quality.
Following a state of the art review and users requirements survey, a geo-referenced information base comprising DMSP OSP night-time light emissions data, digital topographic maps and socio-economic data will be compiled, integrated and delivered via a GIS.
The nature of relationships between light emission intensities/patterns and source characteristics like urban typology will be investigated within and between urban areas. Spatial patterns and variations in light profiles will be examined to establish characteristic signatures for each type of urban area.
The potential to use light emissions as a surrogate for socio-economic indicators will be evaluated across the EU using regression and discriminate analysis techniques.
Objectives:
1) To assess the potential of using existing satellite data from the DMSP OLS sensor to produce maps of light emissions and urban night-time intensity levels in the EU. The accuracy of these maps will be quantified at different spatial scales and in different countries and areas of the EU in order to assess the potential for routine mapping of urban night time light emissions using either existing satellite technology or new sensors;
2) To investigate the factors that affect urban night-time light emissions, including urban morphology and layout; land use characteristics; lighting configuration; population density and the extent of urban areas;
3) Based on this analysis, to assess the ability to use urban light emissions as indicators of population size/density; urban population numbers; total energy consumption by sector of activity; energy waste; gross domestic product; urban typology; rural tranquillity and landscape/skyscape quality.
To evaluate the capability to enhance the quality of this information either by post-processing of the data or by using higher resolution sensors.
Work description:
To meet the objectives of MANTLE, a programme with 6 technical and 1 managerial work packages has been designed.
The project definition phase will have 2 approaches:
- A state of the art review will comprise a thorough literature and Internet search and review, including visits to key researchers in the field;
- Using a small demonstration of the potential applications of the night time data as a stimulus to groups of potential users, a user-requirements survey will be carried out among key user communities at the regional, national and international level.
This survey will be conducted via one-to-one interviews, seminars and technical workshops. Geo-referenced information bases will be constructed for MANTLE, both at the pan-European scale and more locally for 4 defined study areas.
Three data categories will be included:
- Light emissions (processed DMSP OLS) data with other high-resolution imagery for 1 or 2 of the study areas will form the basis of the repository of satellite data;
- Digital maps containing topographic data layers and land use;
- Socio-economic statistical data.
All these data will be brought together and integrated in a GIS.
Determine relationships
The nature of relationships between light emission intensities/patterns and source characteristics like urban morphology and typology will be investigated at two spatial scales:
within towns, using a sample of towns for which detailed land use and socio-economic data will be collected;
and between towns, by comparing light emission signatures from a sample of contrasting towns from different areas of the EU.
Spatial patterns and variations in light profiles will be examined to establish characteristic signatures for each type of urban area or town.
Where appropriate, field observations will be carried out.
Light emissions as a surrogate for socio-economic data:
The potential for light emissions to act as an indicator for such factors as population number & density, GDP, energy consumption & wastage, sky glow and tranquil areas will be evaluated across the EU using regression and discriminate analysis techniques.
Data enhancement:
Image enhancement techniques, simulated data and/or data from higher resolution sensors and DMSP OLS time series data will be assessed in order to determine the best methods for accessing the full information content of DMSP OLS data.
Milestones:
-Documentation State of art review;
- user survey;
- WWW page & Final ReportMap sets 1 per socio-economic indicator;
- night-time emissions Nomenclatures Specify data needs & standards;
-compiled data on common spatial framework;
- development of urban typology;
- typological classification of urban areas GIS & databases Spatial databases & GIS for EU;
- regional scale spatial database of study areas Methods Spatial data transformation methods;
- optimised data extraction from DMSP OLS Dissemination Review group & research network;
- Workshops (European, national & regional);
- CD ROM;
- WWW page.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesinternet
- natural sciencescomputer and information sciencesdatabases
- natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systems
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
HP2 7SR HEMEL HEMPSTEAD
United Kingdom