The images of high spatial resolution leveraged remote sensing to the forefront of urban environments studies, as they better distinguish the elements that make up this very heterogeneous environment. Geostatistical techniques are increasingly being used in studies of remote sensing. The variogram is an important geostatistical analysis tool, because it allows understanding of the spatial behaviour of a regionalised variable, in this case, the grey levels of a satellite image. This study aims to identify urban residential patterns of three classes of use and occupation of land by the analysis of the parameters, graphics and results of variogram analysis. The hypothesis is that the values corresponding to these parameters represent the standard of each class spectral behaviour, and indicate that there is a pattern in the spatial organisation of each class. IKONOS 2002 images and a previous classification of land use and land cover of sub-basin in the Cabuçu river in São Paulo were used. Samples were taken from each class and the levels of grey in each pixel were used to calculate the variogram. After analysing the results, only the parameter range was considered, as it was observed that it was related with the degree of homogeneity of each sample. The range of values obtained in the calculation of variograms identified with better accuracy ‘multiple dwelling unit’ class rather than ‘regulated dense occupation’ and ‘irregular dense occupation’, which did not yield a good result.
Este exemplar foi revisado e alterado em relação à versão original, sob responsabilidade única do autor e com a anuência de seu orientador. que é uma classe com padrões e características singulares, já a identificação das classes "Ocupação Densa Regular" e "Ocupação Densa Irregular" não obteve uma precisão boa, sendo que essas classes são similares em diversos aspectos.Palavras chave: Sensoriamento Remoto, geoestatística, variograma, padrões urbanos. ABSTRACTThe images of high spatial resolution studies of leveraged Remote Sensing in urban environments, as they enable better distinction of the elements that make up this very heterogeneous environment.Geostatistical techniques are increasingly used in studies of Remote Sensing, the variogram is an important tool geostatiscal analysis, because it allows to understand the spatial behavior of a regionalized variable, in this case, the gray levels of a satellite image.This study aims to assess the methodological proposal is to identify urban residential
This article attempts to characterize urban land use patterns by variograms parameters from multispectral high spatial resolution satellite images. The variography is used to characterize variability and to characterize a land use urban pattern. Dataset compiled from Salvador, Bahia, Brazil, consists in single QuickBird satellite scene, geometrically corrected, obtained on August 2nd, 2005. Four land urban patterns were identified at the study area and characterized using remote sensing image classification parameters. The principal components were calculated over the variance-covariance matrix of the four spectral channels of the images and while the variograms were calculated on the first principal components of each of the four urban patterns. In general the use of the variogram to aid the classification has proved satisfactory for the study area. Parameters (sill, range and nugget effect) were valuable tools for classification areas and to characterize occupation patterns.
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