Patch and landscape metrics were quantified using a combination of three Landsat and Spot images acquired in 1989, 1998, and 2003, a set of 160 aerial photos (1∶8,000) taken from commissioned helicopter overflights on April 2003, a soil map by IBGE [36], and a soil map provided by the Usina Serra Grande Agriculture Office.
The stratification intensity at each sampling location was quantified using metrics derived from the salinity and temperature profiles.
In their approach, uncertainty was quantified using metrics of "crosstalk" (the amount of activity incorrectly localized into a specified location from other locations) and "point-spread" (the mislocalization of activity from that specified location to other locations in the brain).
Urban pattern, shape and growth can be quantified using spatial metrics.
Results demonstrate that the significantly altered green space pattern could be quantified using landscape metrics in each local area.
The QoE can be quantified using different metrics in a spatial domain like structural symmetry (SSIM) and in temporal domain like flow continuity.
The severity of disturbances in a network that leads to the first and the second types of stresses can be quantified using different metrics.
To provide a comprehensive evaluation, in our study the differences between the hyper-spectral feature vectors are quantified using classical metrics that were widely used in the development of hyper-spectral classification schemes.
LCLU changes have been quantified with remote sensing techniques, driving forces have been analysed with multiple logistic regressions combining biophysical and human variables, whereas landscape dynamics have been quantified using different metrics.
The spatial characteristics of riparian woody vegetation and the temporal changes therein were quantified using landscape metrics such as average riparian canopy width, length of stand canopy closure types on river segments and patchiness indicators (e.g., the number of changes between types per survey unit).
