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2 October 2008 Urban/periurban vegetation cover dynamics estimation from remotely-sensed data
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Abstract
The increase of satellite images resolution and the development of computer classification methods bring new extraction information methods for urban/periurban vegetation based on synergy of low resolution images and high-resolution and field investigation for urban vegetation distribution studies. The spatio-temporal distribution of vegetation is an important component of the urban/periurban environment. Therefore, correct estimation of vegetation cover in urban/suburban areas is a fundamental aspect in landcover/landuse analysis. In order to assess de urban green dynamics the aim of this paper is to explore the potential of fractional vegetation cover (FVC) extracting from Landsat TM, ETM and IKONOS remotely sensed data and in-situ measurements for Bucharest town, Romania. Based on the assumption that pixel has a mosaic structure, have been introduced sub-pixel models for FVC estimation and a combined approach of these based on landcover classification. The experimental result indicates that the accuracy of FVC estimation using the proposed method can be up to 82.2%. The results suggest that this method may be generally useful for FVC estimation in urban and periurban areas.
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M. A. Zoran and C. H. Weber "Urban/periurban vegetation cover dynamics estimation from remotely-sensed data", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710408 (2 October 2008); https://doi.org/10.1117/12.799938
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