Sentence examples for cover variability from inspiring English sources

The standard FAO classification scheme provides a standardized system of classification that can be used to analyze spatial and temporal land cover variability in the study area.

The Proba-V and MODIS phenology retrievals scaled poorly relative to their high-resolution equivalents, indicating that medium-resolution phenology retrievals need to be interpreted with care, particularly in landscapes with fine-scale land cover variability.

Eleven salt diapirs were selected for the study of surficial deposits in order to cover variability in the geology, morphology and climate in a majority of the diapirs in the Zagros Mountains and Persian Gulf Platform.

This suggests that canopy LAI is limited by water availability at the lower end of the rainfall spectrum and by cloud cover variability at the upper end, the latter regulating incident solar radiation on forest canopies and, hence, constraining vegetation productivity (Nemani et al. 2003).

The five-band, 1 m panchromatic and 4 m multispectral measurements have the potential to provide a source of measurements to evaluate subpixel land cover variability in measurements from observatories such as Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Terra MODIS sensor.

If better accounts of autumn snow-cover variability are incorporated into climate models, scientists could provide more accurate winter-weather forecasts, the researchers contend.

The most comparable UK literature includes a recent review [ 2] which covers variability in access to NICE recommended pharmacotherapy, (not solely those specific to cancer).

This factor was proposed to cover the variability of toxicokinetic and toxicodynamic aspects between humans and also potential additional interspecies variability.

Significant new insight was presented regarding the inter- and intra-annual dynamics of seagrass persistence over time, seagrass cover level variability, seagrass cover level trajectory, and change in area of seagrass and cover levels over time.

The other is to introduce probabilistic source models that cover the variability generated by a Monte Carlo sampling method (e.g., Yamada et al. 2011) and perform large amount of ground motion computation.

Further, we tested how precisely available legacy samples cover the variability of the covariates within each potential sampling area to define the final sampling area and to apply a purposive sampling design.