Aiming at the problem that a convenient multivariate statistical model is in general not available for the multi-spectrum feature of land use/cover(LUC)class in remote sensing (RS) image,because the class is made of multiple covered species,a spatial-distance analysis approach of multi-spectrum feature distribution for RS image LUC is present,with the mean vector of samples as LUC class center,with max-min clustering algorithm forming the class multi-clustering-centers,the spatial-distances from the class center to these multi-clustering-centers were calculated.With the distance as abscissa and the percentage of the clustering-center pixels to the whole sample pixels as ordinate,the intra- and inter-classes distance distribution charts were constructed to analyze the multi-spectrum feature distribution of RS image LUC.The results of these samples classification tally with the conclusions of spatial distance analysis,indicating that this approach is feasible.In this approach the multi-dimensional spectrum information is turned into one dimensional distance information,the spatial-distance calculation and clustering threshold confirmation are realized easily,and the multi-spectrum feature of LUC class is clear,so it is a better approach to solving the multivariate distributing problem of multi-spectrum feature.