01337508

Component

https://doi.org/10.3141/2214-15

http://scholar.google.com...rish&publication_year=2011

Airport obstruction surveys are conducted to identify obstacles (objects penetrating obstruction identification surfaces that may pose a hazard to air navigation) and to provide critical data for the safety of aircraft and passengers. The current practice of airborne light detection and ranging (LIDAR) technology for airport obstruction surveys is presented. Obstruction survey requirements and current federal standards related to airport airspace analysis and the airport–geographical information system (GIS) program are reviewed. The accuracy of airborne LIDAR surveys and obstruction analysis has been established in previous field studies conducted by the National Geodetic Survey (NGS). Commercial obstruction surveys have been conducted on many airports in North America with LIDAR configurations and survey specifications recommended by NGS. In most cases, LIDAR survey data can be collected efficiently during the day as well as at night. LIDAR point cloud and intensity data are used to identify obstacles for the entire survey area through computationally efficient office computer algorithms and complementary use of photogrammetry. In contrast, traditional photogrammetry-only methods are limited to identifying obstacles at discrete locations because of labor-intensive data processing. In addition, LIDAR data can be processed into GIS shape files for seamless integration into an electronic airport layout plan. Multiuse of LIDAR data for both canopy and bare ground enables the generation of accurate digital elevation models, contours for engineering design, and planimetrics for GIS mapping. Mission planning, ground point spacing and density, and other key parameters considered in the latest sample LIDAR survey specifications published as ACRP Research Results Digest 10 are discussed.

01351429

11-1323

English

pp 117-125

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167284

Print

Figures (4) ; Photos (1) ; References (10) ; Tables (1)

Aerial surveying; Airports; Aviation safety; Data collection; Geographic information systems; Information processing; Laser radar; Mapping; Obstructions (Navigation); Photogrammetry; Remote sensing

Obstruction identification systems

Aviation; Planning and Forecasting; Safety and Human Factors; Terminals and Facilities; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 5:45PM

• Addressing and Benchmarking Variations in Airport Demand in the U.S. Domestic Market
• Application of Complex Network Theory and Genetic Algorithm in Airline Route Networks
• Assessing the Impact of Stochastic Capacity Variation on Coordinated Air Traffic Flow Management
• Capacity, Delay, and Schedule Reliability at Major Airports in Europe and the United States
• Computation of Aircraft Braking Distances
• Critical Factors for Development of Airport Cities
• Critical Flights Detected with Time Windows
• Economic and Institutional Impacts of Introduction of Self-Separation Concept of Operations in Air Traffic Management
• Effect of Disruptions on Service Quality and Market Share: Evidence from the U.S. Domestic Airline Industry
• Eruption of Eyjafjallajökull in Iceland: Experience of European Air Traffic Management
• Exploring the Impact of Introducing Scheduled Flights on Aviation Markets: Experience from Opening of China–Taiwan Nonstop Flights
• Heterogeneity in Preferences of Air Travel Itinerary in a Low-Frequency Market
• Impacts and Responses of Icelandic Aviation to the 2010 Eyjafjallajökull Volcanic Eruption: Case Study
• Measuring Quality of Service in Airport Passenger Terminals
• Modeling and Forecasting Passenger Demand for a New Domestic Airport with Limited Data
• Simple Sensors Used for Measuring Service Times and Counting Pedestrians: Strengths and Weaknesses
• Using Smeed’s Law to Estimate Number of Bird Strikes in Utah