Analisis de componentes principales sobre datos multiespectrales "Landsat-TM' e interpretacion de cubiertas vegetales en las Sierras de Tejeda y Almijara

Abstract

The results of applying a multivariate statistical tool to the first four reflectance bands of a LANDSAT "Thematic Mapper' image of Sierra de Tejeda and Sierra de Almijara, S Spain are reported. The first two principal components accounted for more than 99% of the total variance in the original data set. The image obtained through the first principal component transform could be interpreted as a weighed-sum image of all reflectance bands. This image showed optimum feasibility for the interpretation of geological, hydrological and topographic features of the study area. The second principal component transform was able to extract the "green' signal of the vegetation canopy from the complex set of multi-spectral data. The initial assessment of the images has shown that severe deforestation is undergoing in the area. -from English summary