Evacuation Route Selection Based on Tree-Based Hazards Using Light Detection and Ranging and GIS
作者： Debra F. Laefer , Anu R. Pradhan
DOI: 10.1061/(ASCE)0733-947X(2006)132:4(312)
关键词: Tree (data structure) 、 Ranging 、 Hazard (computer architecture) 、 Identification (information) 、 Poison control 、 Computer science 、 Vulnerability (computing) 、 Geographic information system 、 Data mining 、 Transport engineering 、 Laser scanning
摘要: Falling trees pose a great hazard to the safe and uninterrupted use of road transportation system during storm events. The present process manually identifying potentially hazardous is laborious inefficient. This paper presents novel methodology for automating tree threat identification by using airborne laser altimetry data geographical information (GIS). has potential be used selecting best possible evacuation routes based on hazards. proposed method harnesses power spatial analysis functionality provided existing GIS software high-quality, three-dimensional (3D) obtained from an scanning system. highlights benefits related using: (1) Height calculation tall objects; (2) (3) object irregular 3D light detection ranging point over currently employed manual methods.
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