Estructura y análisis espacial de imágenes spot-XS en Texcoco, México

Abstract

Semivariograms were constructed to determine the spatial variability contained in SPOT XS satellite images, in order to assess data redundancy, necessary for estimating land management indicators. Such indicators should therefore have enough sensitivity to detect the sustainability of land use for agricultural purposes. Semivariograms were calculated on a 100 x 100 pixels image portion of Texcoco country. Three directions (0, 45, and 90 degrees) with 0 degrees ot angular ratio search, and lags equal h=l to 10 pixels, were determined for each band and for the Brightness Normalized Index BNI. Further, semivariograms were adjusted to polinomical models. Results showed through high correlation coefficients (r > 0.95) that spatial structures obey (with a very high significance, α < 0.01) to a spherical model in the north direction. On the other hand, results (to be shown in another paper), revealed nested spatial structures when sampling with larger lags.