Use of Meteorological Satellite Images (DMSP) as an Environmental policy tool
Petrakis, M., Psiloglou, B., Lianou, M., Chalkias, C., Akylas, E.
EGS - AGU - EUG Joint Assembly, Abstracts from the meeting held in Nice, France, 6 - 11 April 2003, abstract 11129
Night light emissions that originate mainly from great urban areas are among the main forms of environmental pollution (night light pollution). Also night light pollution has adverse effects on flora and fauna as disrupts day-night rhythms as well as animals' nervous and harmonic system. At the same time, as night light emissions data reflect mainly on human activities, can be used as a policy tool with a suitable time-spatial correlation coupled with different financial and energy data. In the present study techniques for the processing and correlation of night light emission data from DMSP satellite with the various financial and population data are developed in a Geographical Information System (GIS). After the photometric analysis of evening photos and their incorporation into an integrated GIS (which typically includes various geographic variables as population density, energy consumption, land use, road network data, topography etc.), the research is focused in development of correlation models, between RS data and related variables. Furthermore, the creation of correlation indices was investigated that could prove extremely useful to policy making for different activities, at areas where a limited amount of data is available. The present study was developed within the framework of the MANTLE Project (Mapping Night-time Light Emissions in the EU using satellite-observed visible-near infrared emissions as a policy tool) supported by the European Commission.
Petrakis, M., Psiloglou, B., Lianou, M., Chalkias, C., Akylas, E.
EGS - AGU - EUG Joint Assembly, Abstracts from the meeting held in Nice, France, 6 - 11 April 2003, abstract 11129
Night light emissions that originate mainly from great urban areas are among the main forms of environmental pollution (night light pollution). Also night light pollution has adverse effects on flora and fauna as disrupts day-night rhythms as well as animals' nervous and harmonic system. At the same time, as night light emissions data reflect mainly on human activities, can be used as a policy tool with a suitable time-spatial correlation coupled with different financial and energy data. In the present study techniques for the processing and correlation of night light emission data from DMSP satellite with the various financial and population data are developed in a Geographical Information System (GIS). After the photometric analysis of evening photos and their incorporation into an integrated GIS (which typically includes various geographic variables as population density, energy consumption, land use, road network data, topography etc.), the research is focused in development of correlation models, between RS data and related variables. Furthermore, the creation of correlation indices was investigated that could prove extremely useful to policy making for different activities, at areas where a limited amount of data is available. The present study was developed within the framework of the MANTLE Project (Mapping Night-time Light Emissions in the EU using satellite-observed visible-near infrared emissions as a policy tool) supported by the European Commission.