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across <strong>the</strong> flight path by a scanning mirror (USACE, 2002). Transmitted light interacts with <strong>and</strong><br />

is changed by <strong>the</strong> target. Some <strong>of</strong> <strong>the</strong> light is reflected/scattered back to <strong>the</strong> instrument where it is<br />

analyzed. Upon capture by a receiver unit reflectance from features are relayed to a<br />

discriminator <strong>and</strong> a time interval meter (measures <strong>the</strong> time elapsed between transmittal <strong>and</strong><br />

received signal (USACE, 2002). Changes in properties <strong>of</strong> <strong>the</strong> light allow some property <strong>of</strong> <strong>the</strong><br />

target to be determined. The first returns show <strong>the</strong> highest feature (i.e. tree canopy) <strong>and</strong> <strong>the</strong> final<br />

returns are from <strong>the</strong> ground surface. The time for light to travel out to <strong>the</strong> target <strong>and</strong> back is used<br />

to determine <strong>the</strong> range to <strong>the</strong> target. LIDAR collects measures <strong>of</strong> elevation every few square<br />

meters within a surveyed swath hundreds <strong>of</strong> meters wide (Sallenger et al., 2003). The system is<br />

capable <strong>of</strong> collecting elevation data with a vertical accuracy <strong>of</strong> 15 cm <strong>and</strong> a horizontal accuracy<br />

<strong>of</strong> 1/1000 th <strong>of</strong> <strong>the</strong> flight height (USACE, 2002). Raw LIDAR data is in <strong>the</strong> form <strong>of</strong> x,y,z<br />

coordinates (ASCII file) for each object <strong>the</strong> laser hits, measures <strong>and</strong> records distance to (USACE,<br />

2002). The raw data is combined with GPS positional data to georeference datasets (USACE,<br />

2002). The data is <strong>the</strong>n edited <strong>and</strong> processed to generate surface models, elevation models <strong>and</strong><br />

contours (USACE, 2002). With <strong>the</strong> data it is possible to create Digital Elevation Models (DEM)<br />

with vertical accuracies <strong>of</strong> 0.15-1 m (Gibeaut et al., 2003).<br />

In addition to using LIDAR data to study shoreline change, Syn<strong>the</strong>tic Aperture Radar<br />

(SAR) data can also be used. This was done to a limited extent for this project. SAR uses a<br />

small antenna that transmits a broad radar beam. A digital system records <strong>the</strong> amplitude <strong>and</strong><br />

phase history <strong>of</strong> <strong>the</strong> returns from each target as <strong>the</strong> repeated radar beams pass across a target.<br />

The digital record is computer processed to produce an image (Sabins, 1997).<br />

Ground Penetrating Radar (GPR)<br />

Ground penetrating radar (GPR), was developed in <strong>the</strong> 1970s to map near subsurface<br />

geologic structures. GPR is a non-destructive geophysical method that provides a continuous<br />

cross sectional pr<strong>of</strong>ile or record <strong>of</strong> subsurface features without drilling, probing or digging. The<br />

method is based on wave propagation <strong>and</strong> reflection <strong>of</strong> microwave range electromagnetic<br />

radiation (Van Dam <strong>and</strong> Schlager, 2000). It uses short pulses <strong>of</strong> high frequency (microwave<br />

range) electromagnetic energy (radar pulses) (Harari, 1996). These pulses are propagated into<br />

<strong>the</strong> ground by a transmitting antenna that is placed on <strong>the</strong> ground surface (Harari, 1996). The<br />

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