Layer: LiDAR Principle Component Analysis (3 m) (ID: 12)

Name: LiDAR Principle Component Analysis (3 m)

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Type: Raster Layer

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Description: This image represents a 0.3x0.3 meter principal component analysis (PCA) surface. It was created by integrating eight topographic complexity surfaces (mean depth, standard deviation of depth, curvature, plan curvature, profile curvature, rugosity, slope, and slope of slope). The eight complexity surfaces were rendered, stacked and exported to create one image with several different bands (each band representing a specific complexity surface). This stacked image was transformed into its first three principal components using the "Principal Components Analysis" function in ENVI 5.0. The transformation reduced the dimensionality of the dataset by removing information that correlated among the different bands (i.e., complexity surfaces). The resulting PCA GeoTIFF was created to aid in the classification of benthic habitat inside Coral Bay, St. John.

Copyright Text: NOAA/NOS/NCCOS/MSE/Biogeography Branch

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