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Lidar Confirms Sandy’s Dramatic Coastal Change Impacts and Future Coastal Vulnerability


Lidar Confirms Sandy’s Dramatic Coastal Change Impacts and Future Coastal Vulnerability

ST. PETERSBURG, Fla. –The extent of Hurricane Sandy’s wrath — and the future coastal vulnerability of the region — is clear in a new U.S. Geological Survey analysis of recently collected lidar coastal data. The research documented particularly dramatic impacts within the Fire Island National Seashore on Long Island, NY.

Lidar, or light detection and ranging, uses lasers to measure elevations in a specific distance/area. Researchers used the lidar data, collected during an airborne survey, to construct a high-resolution three-dimensional map of before- and after-storm conditions. 

This information can help scientists and decision-makers identify the areas along the shore that have been made more vulnerable to future coastal hazards in the storm’s wake.

“Coastal dunes are our last line of natural defense from the onslaught of storms and rising seas,” said USGS Director Marcia McNutt. “They are dynamic features that retreat from the battering of major storms like Sandy and rebuild in the aftermath; their natural cycle is inconsistent with immobile development.”

USGS research oceanographer Hilary Stockdon said that the lidar data show that at Ocean Bay Park, for example, storm surge and waves associated with Sandy demolished protective dunes – and the structures built on top of them.

“In the pre-storm elevation image of Ocean Beach, you can see houses that are sitting right on the sand dune,” Stockdon said. “But in the post-storm elevation image, the high dune elevation is gone. The dune and the houses on it were completely washed away.”

The pre- and post-storm ground conditions at Fire Island were similarly dramatic, USGS coastal geologist Cheryl Hapke said, noting that the USGS worked closely with the National Park Service to gather field data on the island.

“We found that there was widespread dune erosion and overwash,” Hapke said. “On average, where the dunes were not completely overwashed, they eroded back 70 feet — the equivalent of 30 years of change. Our research also showed that dunes lost as much as 15 feet of elevation.”

The lidar analysis, said Stockdon and Hapke, combined with ground survey data, and pre- and post-storm oblique aerial photography, tell a dramatic story of Sandy’s catastrophic effect on the shoreline – and future coastal vulnerability – in this region. It will also help to demonstrate the accuracy of coastal change predictions calculated before the storm in this area.

“This work can help coastal communities understand where they are most vulnerable to future storms,” Stockdon said “and help decision makers at all levels create policies that protect their economic, environmental, and ecological health in the coastal areas most susceptible to extreme storm impacts.”

USGS Newsroom


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Parameter Value Description
Magnitude mb The magnitude for the event.
Longitude ° East Decimal degrees longitude. Negative values for western longitudes.
Latitude ° North Decimal degrees latitude. Negative values for southern latitudes.
Depth km Depth of the event in kilometers.
Place Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name.
Time 1970-01-01 00:00:00 Time when the event occurred. UTC/GMT
Updated 1970-01-01 00:00:00 Time when the event was most recently updated. UTC/GMT
Timezone offset Timezone offset from UTC in minutes at the event epicenter.
Felt The total number of felt reports
CDI The maximum reported intensity for the event.
MMI The maximum estimated instrumental intensity for the event.
Alert Level The alert level from the PAGER earthquake impact scale. Green, Yellow, Orange or Red.
Review Status Indicates whether the event has been reviewed by a human.
Tsunami This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist.
SIG A number describing how significant the event is. Larger numbers indicate a more significant event.
Network The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event.
Sources A comma-separated list of network contributors.
Number of Stations Used The total number of Number of seismic stations which reported P- and S-arrival times for this earthquake.
Horizontal Distance Horizontal distance from the epicenter to the nearest station (in degrees).
Root Mean Square sec The root-mean-square (RMS) travel time residual, in sec, using all weights.
Azimuthal Gap The largest azimuthal gap between azimuthally adjacent stations (in degrees).
Magnitude Type The method or algorithm used to calculate the preferred magnitude for the event.
Event Type Type of seismic event.
Event ID Id of event.
Event Code An identifying code assigned by, and unique from, the corresponding source for the event.
Event IDS A comma-separated list of event ids that are associated to an event.

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