17 May 2010 Multispectral and multitemporal satellite remote sensing imagery for Bucharest land cover dynamics assessment
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Abstract
Urban areas are currently among the most rapidly changing types of land cover on the planet. Remote sensing imagery can provide a timely and synoptic view of urban land cover, as well as a means to monitor change in urbanizing landscapes and to compare urban environments globally. To understand the ecology of urban systems, it is necessary to quantify the spatial and temporal patterns of urbanization, which often requires dynamic modeling and spatial analysis. Based on Spectral Mixture Analysis, this paper aims to provide a spatio-temporal analysis of urban structure for Bucharest urban area based on multi-spectral and multi-temporal satellite imagery (LANDSAT TM, ETM; MODIS, IKONOS) over 1989 - 2007 period. Accurate maps of urban tree and other surface cover types can provide critical information to better understand urban ecosystems and help improve environmental quality and human health in urban areas.
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M. A. Zoran, R. Savastru, D. Savastru, M. Tautan, S. Miclos, "Multispectral and multitemporal satellite remote sensing imagery for Bucharest land cover dynamics assessment", Proc. SPIE 7469, ROMOPTO 2009: Ninth Conference on Optics: Micro- to Nanophotonics II, 74690Q (17 May 2010); doi: 10.1117/12.861526; https://doi.org/10.1117/12.861526
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