Sentence examples for cover accuracy from inspiring English sources

This showed the method to accurately retrieve voxelised canopy cover maps with less than 0.4% of voxels containing false negatives, 10% of voxels containing false positives and a canopy cover accuracy within voxels of 24%.

A new approach to locating accuracy assessment sample units was used to quantify 2010 land cover accuracy, in addition to being able to make statements about 2006-2010 land cover change mapping accuracy for National Oceanic and Atmospheric Administration (noaa) Coastal Change Analysis Program (c-cap) data.

Clause one of the Ipso editors' code of practice covers accuracy.

Areas of 'no change' had a user's accuracy of 95.8 % and a producer's accuracy of 98.0 %.> The study was focused on identifying the areas of change; however, a provisional regional class-by-class land-cover accuracy assessment for 2001 and 2006 was calculated based on spatial integration of the 'change' data with the existing 'no change' NLCD (Table  5).

This range is large enough to cover timing accuracy variations of most audio recording and playing devices nowadays.

The purpose of this study was to evaluate the effect of coupled correction methods on land cover classification accuracy.

In the remote-sensing area, Li et al. (2015) introduced a Bayesian MCRF cosimulation method for improving land cover classification accuracy.

In the past considerable research was undertaken to increase land cover classification accuracy, while less effort was spent on interpolation techniques.

This study demonstrates the use of a geographically weighted principal components analysis (GWPCA) of remote sensing imagery to improve land cover classification accuracy.

Using a fusion of airborne hyperspectral imagery and light detection and ranging (LiDAR) data, a 1.0 m spatial resolution classified land cover map (accuracy of 88.6%) was produced for the city of Surrey, British Columbia, Canada, from which landscape imperviousness was then derived.

The major finding apart from the landuse/land cover classification, accuracy check and assessment of the variation in run-off due to landuse and land cover change is to estimate the future river run-off of the year 2011 and 2021 and to calculate the hydro power potential for these years with the help of run-off data series.