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24 October 2013 Satellite remote sensing image based analysis of effects due to urbanization on climate and health
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Satellite remote sensing offers unique perspectives to study the relationship between urban systems and climate change because it provides spatially explicit and synoptic views of the landscape that are available at multiple spatial grains, spatial extents, and over time, able to provide detailed information of urbanization patterns. Due to significant anthropogenic changes that have occurred in the last several decades in Bucharest city’s landscape, urbanization has become an important factor affecting urban surface parameters, hence in the surface–atmosphere interaction processes, with a great potential to alter the local climate. Analysis of surface biophysical parameters changes in urban/periurban areas of Bucharest metropolitan area based on multi-spectral and multi-temporal satellite imagery (MODIS, Landsat TM/ETM and IKONOS) provides the most reliable technique of environmental monitoring regarding the net radiation and heat fluxes associated with urbanization at the regional scale. Investigation of radiation properties, energy balance and heat fluxes is based on information derived from various satellite sensors and in-situ monitoring data, linked to numerical models and quantitative biophysical information extracted from spatially distributed NDVI-data and net radiation. The aim of this paper was to provide information on surface biophysical parameters such as vegetation indices, land surface temperature and albedo over 1990 – 2012 period for Bucharest town and its periurban areas. These changes have been then, examined in association with climate changes and land cover changes feedbacks in order to illustrate how these parameters respond to rapid urban expansion in Bucharest and surrounding region and human health effects.
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M. Zoran, L. F. Zoran, A. Dida, M. R. Dida, A. T. Zoran, and O. M. Ionescu "Satellite remote sensing image based analysis of effects due to urbanization on climate and health", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931E (24 October 2013);

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