Spatial Pattern Analyses of Landscape using Multi-Temporal Data Sources
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摘要
Our aim is to use a framework of combined satellite image processing with other cartographic materials for analyzing and modelling the spatial urban and rural pattern correlated to the protected areas located either in their contiguity or separated through a buffer zone with agricultural use. We exemplified the advantages and disadvantages incorporated by historical maps, topographic maps, Landsat images and orthophotoplans that emerged during two researches, one concerning the land use change in Sinaia resort in the Southern Carpathians, the second being a complex urban-rural landscape unit surrounding Babadag lake, in SE Romania. We emphasized the variation in information consistency depending on each case study scale in regard to the Landsat images resolution as compared to orthophotoplans. Also, the considerable amount of computer processing of the remote sensing imagery in regard to positional and spectral distortions requires a revision process which can integrate other maps and ancillary data in order to produce a sound analysis of the spatial pattern. Based on the series of satellite images we modelled the spatial urban pattern and extent of built-up change in recent years with the help of a grid structure and we computed a synthetic indicator for the vegetation study, especially for evaluating human intervention through cultivated fields, farms and deforestation. The rapid development of Sinaia under increased mass-tourism pressure, a situation reflected in the constant fragmentation of surfaces covered with forest in the periurban, requires that urban planning should benefit from the combination of conventional cartographic products and remote sensing imagery, thus encompassing the possible extend upon Bucegi Natural Park, included in Natura 2000 network. Babadag Lake and surrounding areas have multiple protection status, Danube Delta Biosphere Reserve, Natural Heritage Sites under UNESCO, and also Natura 2000, requiring a more accurate geographical database that can be used in monitoring the trends in land use change.

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