Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery

Assessing sustainability indicators for tropical forests: Spatio-temporal heterogeneity, logging intensity, and dung beetle communities

“…Among the methods for quantifying spatial heterogeneity, geostatistical tools such as correlograms and variograms have been used in ecological studies (Isaaks and Srivastava, 1989;Légendre and Fortin, 1989;Riera et al, 1998;He et al, 1996;Pastor et al, 1998;Goodin et al, 2004;Colombo et al, 2004). An advantage of variography is an explicit quantification of two aspects of spatial heterogeneity: the amount of spatial variation (or total sill) and the average distance (or range) within which observations are significantly correlated (Henebry, 1993;He et al, 1996;Goodin and Henebry, 1997;Goodin et al, 2004;Colombo et al, 2004).…”

“…An advantage of variography is an explicit quantification of two aspects of spatial heterogeneity: the amount of spatial variation (or total sill) and the average distance (or range) within which observations are significantly correlated (Henebry, 1993;He et al, 1996;Goodin and Henebry, 1997;Goodin et al, 2004;Colombo et al, 2004). This latter measure can be considered some approximation to the average patch size exhibited by the data.…”

Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate?

“…One of the most rapidly growing applications of remotely sensed data is the derivation of landscape pattern ISPRS Journal of Photogrammetry & Remote Sensing 62 (2007) 201 -216 www.elsevier.com/locate/isprsjprs metrics for the assessment of land cover condition and landscape change dynamics (Betts et al, 2003;Colombo et al, 2004;Egbert et al, 2002;Griffith et al, 2003;Hansen et al, 2001;Imbernon and Branthomme, 2001;Jorge and García, 1997;Millington et al, 2003;Peralta and Mather, 2000;Sader et al, 2003;Sachs et al, 1998;Skole and Tucker, 1993;Vogelmann, 1995;Yu and Ng, 2006). This is due to the increasing awareness of the effects of the spatial arrangement of ecosystems on different ecological processes (spread of forest fires and other disturbances, species richness distribution, movement and persistence of animal populations, water flows, etc.…”

A method for choice of optimum scale on land use monitoring in Tarim River Basin

“…Semivariograms are also used to define appropriate spatial and temporal scales of environment variables (Stein et al, 2001). In the case of monitoring tropical forest cover (Colombo et al, 2004), variographic analyses from multi-scale remote imagery are utilized to define optimal resolution. From studies of ecosystem function in southern California chaparral and grassland, variographic analysis of vegetation indices of NDVI, WBI and PRI are used to determine an optimal pixel size (Rahman et al, 2003).…”