The study aimed to analyze and characterize the ATU Lupsa area, Alba County, Romania, based on the ASPECT parameter, through remote sensing technique. In the study area, land surfaces with different types of soil texture were identified, Clayey loam texture (CLt), Clay texture (Ct), Sandy clay texture (SCt), Sandy loam - clayey texture (SLCt), and other types of texture - Varied texture (Vt). Based on the ASPECT parameter, ten classes (AC1 to AC10) were generated, which included variable land areas, in relation to soil texture. The size of the ASPECT classes varied between 217.39 ha (AC1) and 1840.39 ha (AC4). ANOVA Test confirmed significant differences between mean values, and Kruskal-Wallis test confirmed significant differences between median values of ASPECT classes. Mann-Whitney (post hoc) highlighted differences between land surfaces with different types of soil texture, on ASPECT classes. Multivariate analysis assessed the correlation between ASPECT classes and soil categories (texture aspect), and the principal components confirmed 82.174% of the total variance. Cluster analysis grouped ASPECT classes and soil texture types based on similarity, in relation to the related surface values (Coph. corr. = 0.846). The highest level of similarity was recorded at the level of classes AC2 and AC10, with SDI = 22.77. A ranking of the ASPECT classes was generated based on the land area values, with the first position occupied by class AC4.

ASPECT, clustering, mountain area, PCA, remote sensing, soil texture

geodesy engineering

Presentation: poster