SciELO - Scientific Electronic Library Online

 issue32Metodología en la realización del inventario nacional forestal: ortocorreccion de imágenes digitales author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Investigaciones geográficas

On-line version ISSN 2448-7279Print version ISSN 0188-4611


CAJUSTE BONTEMPS, Lenom  and  SORANI, Valentino. Estructura y análisis espacial de imágenes SPOT-XS en Texcoco, México. Invest. Geog [online]. 1996, n.32, pp.9-17. ISSN 2448-7279.

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.

Keywords : spatial variability; spatial analysis; SPOT imagery; data redundancy; land management indicators.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License