REMOTE SENSING IN THE ANALYSIS AND CHARACTERIZATION OF SPATIAL VARIABILITY OF THE TERRITORY. A STUDY CASE IN TIMIS COUNTY, ROMANIA

The present study used satellite images analysis to evaluation and characterization of land spatial variability in the Livezile-Dolat Protected Area, Timis County, Romania. Based on the spectral information, the indices NDVI, SAVI, NBR, GLI, GNDVI and CIgreen were calculated. On the basis of ISODATA algorithm, an unsupervised analysis was performed, and 15 classes resulted. The coefficient of variation (CV) expressed a high variability in terms of the surfaces size on the set of 15 obtained classes (CVClass=43. 2658). Based on the NDVI index, 8 groups of values were obtained, covering an area of 6,542.801 ha; 9 groups of values covering the surface of 6,555.21 ha in the case of SAVL and 6 groups of values covering the area of 6,542.955 ha in the case of CIgreen were obtained. Data series for each index studied (654,361 values per series) were analyzed to evaluate the variance (V) and coefficient of variation (CV). The highest value of the variance was identified for the CIgreen index (V-CIgreen=0.892885), and the lowest at the GLI index (V-GLI=0.001912), the other indices having intermediate values of the variance (V-GNDVI=0.013837, V-NDVI=0.028027, V-SAVI=0.063048). Based on the values of the coefficient of variation (CV), a high degree of spatial variability was found in the set of GLI index values (CVGLI=80.40968) and the lowest spatial variability in the GNDVI index data set (CVGNDVI=23.85455), and intermediate values for the other studied indices (CVNDVI=28.76762, CVSAVI=28.76861, CVCIgreen=57.57606).