Analysis variables for classifying regions

The following analysis variables are available for creating rules to classify regions:

Analysis variable

Unit

3D_school_area

m2

3D_school_volume

m3

ABC

m2/mi2

ABC_noise

m2/m2

Area_Backscatter_Strength

m2/nmi2

Attack_angle

degrees

Bad_data_samples

number of bad data samples

Beam_volume_sum

m3

Coefficient_of_variation

%

Corrected_MVBS

dB re 1m2/m3

Corrected_area

m2

Corrected_length

m

Corrected_mean_amplitude

m2/m3

Corrected_perimeter

m

Corrected_thickness

m

Depth_mean

m

Exclude_above_line_depth_mean

m

Exclude_above_line_range_mean

m

Exclude_below_line_depth_mean

m

Exclude_below_line_range_mean

m

Height_mean

m

Horizontal_roughness_coefficient

dB re 1m2/m3

Image_compactness

ratio

Kurtosis

dB re 1m-1

NASC

m2/nmi2

NASC_noise

m2/nmi2

No_data_samples

number of No_data samples

Range_mean

m

Samples

number of good samples

Skewness

dB re 1m-1

Standard_deviation

Deviation from mean (σ)

Sv_max

dB re 1m-1

Sv_mean

dB re 1m-1

Sv_min

dB re 1m-1

Sv_noise

dB re 1m-1

Thickness_mean

m

Uncorrected_area

m2

Uncorrected_length

m

Uncorrected_perimeter

m

Uncorrected_thickness

m

Vertical_roughness_coefficient

dB re 1m2/m3

See also

About analysis variables
Classifying regions