----------Vertical Accuracy Report----------

The Fundamental Vertical Accuracy value (FVA) is the
NSSDA result of the open terrain or 'bare earth' class.

The Supplemental Vertical Accuracies are typically not
normally distributed and the xth percentile (typically
95th) result should be checked for the SVA result of each
non open terrain/'bare earth' class.

The Consolidated Vertical Accuracy (CVA)
is also non-normal (all land cover classes combined)
and the xth percentile for the All Points result
should be used to report this value.


28 control points were tested for the Bare Earth class
The Minimum change in Z of the Bare Earth class is -0.416442990303 U.S. Survey Feet
The Maximum change in Z of the Bare Earth class is 0.212035998702 U.S. Survey Feet
The Range of the change in Z for the Bare Earth class is 0.628478989005 U.S. Survey Feet
The Average change in Z for the Bare Earth class is -0.0341197064679 U.S. Survey Feet
The Standard Deviation of the change in Z distribution for the Bare Earth class is 0.144159610452 U.S. Survey Feet
The Skew of the change in Z distribution for the Bare Earth class is -0.488661700992
The Kurtosis of the change in Z distribution for the Bare Earth class is -0.0464392236034
The RMSEz of the Bare Earth class is 0.14561574877 U.S. Survey Feet
The NSSDA AccuracyZ (=RMSEz*1.96) of the Bare Earth points is 0.28540686759 U.S. Survey Feet at the 95% Confidence Level
The 95th Percentile Value for the Bare Earth class is 0.243432595581 U.S. Survey Feet


27 control points were tested for the Forested class
The Minimum change in Z of the Forested class is -0.272278010845 U.S. Survey Feet
The Maximum change in Z of the Forested class is 0.641541004181 U.S. Survey Feet
The Range of the change in Z for the Forested class is 0.913819015026 U.S. Survey Feet
The Average change in Z for the Forested class is 0.183262619449 U.S. Survey Feet
The Standard Deviation of the change in Z distribution for the Forested class is 0.221731404003 U.S. Survey Feet
The Skew of the change in Z distribution for the Forested class is -0.212317924549
The Kurtosis of the change in Z distribution for the Forested class is -0.244038043633
The RMSEz of the Forested class is 0.284480404536 U.S. Survey Feet
The NSSDA AccuracyZ (=RMSEz*1.96) of the Forested points is 0.557581592891 U.S. Survey Feet at the 95% Confidence Level
The 95th Percentile Value for the Forested class is 0.525054821372 U.S. Survey Feet


23 control points were tested for the Tall Weeds class
The Minimum change in Z of the Tall Weeds class is -0.0839843973517 U.S. Survey Feet
The Maximum change in Z of the Tall Weeds class is 1.05956995487 U.S. Survey Feet
The Range of the change in Z for the Tall Weeds class is 1.14355435222 U.S. Survey Feet
The Average change in Z for the Tall Weeds class is 0.376567014372 U.S. Survey Feet
The Standard Deviation of the change in Z distribution for the Tall Weeds class is 0.325005610906 U.S. Survey Feet
The Skew of the change in Z distribution for the Tall Weeds class is 0.443624021674
The Kurtosis of the change in Z distribution for the Tall Weeds class is -0.657244996036
The RMSEz of the Tall Weeds class is 0.492786805133 U.S. Survey Feet
The NSSDA AccuracyZ (=RMSEz*1.96) of the Tall Weeds points is 0.965862138061 U.S. Survey Feet at the 95% Confidence Level
The 95th Percentile Value for the Tall Weeds class is 0.928796011209 U.S. Survey Feet


20 control points were tested for the Urban Areas class
The Minimum change in Z of the Urban Areas class is -0.134520992637 U.S. Survey Feet
The Maximum change in Z of the Urban Areas class is 0.274291992188 U.S. Survey Feet
The Range of the change in Z for the Urban Areas class is 0.408812984824 U.S. Survey Feet
The Average change in Z for the Urban Areas class is 0.0334655746818 U.S. Survey Feet
The Standard Deviation of the change in Z distribution for the Urban Areas class is 0.113436066439 U.S. Survey Feet
The Skew of the change in Z distribution for the Urban Areas class is 0.0612747336122
The Kurtosis of the change in Z distribution for the Urban Areas class is -0.910531639377
The RMSEz of the Urban Areas class is 0.115517518709 U.S. Survey Feet
The NSSDA AccuracyZ (=RMSEz*1.96) of the Urban Areas points is 0.226414336671 U.S. Survey Feet at the 95% Confidence Level
The 95th Percentile Value for the Urban Areas class is 0.169341701269 U.S. Survey Feet


98 total control points were tested
The Minimum change in Z of all control points is -0.416442990303 U.S. Survey Feet
The Maximum change in Z of all control points is 1.05956995487 U.S. Survey Feet
The Range of the change in Z for all control points is 1.47601294518 U.S. Survey Feet
The Average change in Z for all control points 0.135949916002 U.S. Survey Feet
The Standard Deviation for all control points is 0.265153153433 U.S. Survey Feet
The Skew for all control points is 1.04989947701
The Kurtosis for all control points is 1.51881496453
The RMSEz for all control points is 0.296767884391 U.S. Survey Feet
The NSSDA AccuracyZ (=RMSEz*1.96) for all control points is 0.581665053406 U.S. Survey Feet at the 95% Confidence Level
The Consolidated Vertical Accuracy (CVA) at the 95th percentile for the dataset is 0.62413469553 U.S. Survey Feet


Standard Deviation-Standard deviation is a widely
used measurement of variability which shows how
much variation or 'dispersion' there is from the
average (mean, or expected value). A low standard
deviation indicates that the data points tend to be very
close to the mean, whereas high standard deviation
indicates that the data are spread out over a large range
of values.

RMSE-For data with an expected normal distribution,
the root mean square error (RMSE) is a measure of the
differences between values predicted by a model or an
estimator and the values actually observed.

NSSDA-This is the RMSE multiplied by 1.96 (the 95%
Confidence Interval), as required by the FGDC indicates
that 95% of the positions in the data set wil have an
error with respect to true ground positions that is equal
to or smaller than the reported accuracy.

Skew--The skewness for a normal distribution is zero,
and any symmetric data should have a skewness near
zero. Negative values for the skewness indicate data
that are skewed left and positive values for the
skewness indicate data that are skewed right. By
skewed left, we mean that the left tail is long relative to
the right tail. Similarly, skewed right means that the
right tail is long relative to the left tail.

Kurtosis-Kurtosis is measure of how 'flat' or 'peaked' the
distribution of a dataset is.  The Kurtosis Value given
here is specifically known as the 'excessive' kurtosis.
This definition is used so that the standard normal
distribution has a kurtosis of zero.  Thus, an increasingly
positive kurtosis indicates a more 'peaked' distribution and
an increasingly negative kurtosis indicates a 'flater' distribution.

Percentile-where X is the percentile in question, i.e.,
95th, the equation gives a value that indicates that 95%
of the time, error will be below this value.  Conversely,
5% of the time the error will be above this value.