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AIRFIELD DAMAGE ASSESSMENT USING LIGHT DETECTING AND RANGING (LIDAR)

Authors: McNeely, Eric;

AIRFIELD DAMAGE ASSESSMENT USING LIGHT DETECTING AND RANGING (LIDAR)

Abstract

Airfields are essential to the U.S. military and coalition forces’ logistical lines of communications as well as force projection in any theater around the world. Given their utility and importance, airfields should be available for use anytime, and in case of damage, airfield damage repair (ADR) should start as quickly as possible. Before ADR can commence, however, an Airfield Damage Assessment (ADA) must be conducted. ADA assesses the damage to the airfield in detail so that the right type and amount of materials and teams to repair the airfield can be organized. This research focused on developing a low-cost, low-power system equipped with a Light Detecting and Ranging (LiDAR) system and a Global Positioning System (GPS) to accurately conduct an ADA operation. The system was designed and tested in a near operational environment and successfully demonstrated that an ADA can be conducted via a UAV. During tests on realistic damage at McMillan Airfield at Camp Roberts, the system produced rapid and accurate measurements of the diameter and depth of a crater. Also, the system was able to identify a camouflet that is hidden within a spall field.

Approved for public release; distribution is unlimited.

http://archive.org/details/airfielddamageas1094561225

Captain, United States Marine Corps

Keywords

LiDAR, logistics, airfield damage assessment, unmanned aerial systems, expeditionary

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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