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LiDAR Data Processing for Utility Asset Management and Fire Risk Assessment

Authors:
Vivian Sultan
Benjamin Pezzillo

Keywords: LiDAR Data Processing; Utility Asset Management; Fire Risk Assessment; ArcGIS Tools.

Abstract:
California requires utility companies to implement wildfire-mitigation plans to prevent and reduce the risk of catastrophic fires. Manually tracking and evaluating widely distributed equipment, often in very rural and rough terrain, is expensive and labor intensive. This paper demonstrates proof of concept for a light detection and ranging (LiDAR) point- cloud data-processing tool and explores the potential benefits associated with such a tool. LiDAR is widely used for various applications, including mass asset surveys, vegetation management, and structural-load analysis. The authors explored various ArcGIS geoprocessing tools as part of this study. In summary, this paper provides valuable insights into using ArcGIS tools for LiDAR processing and highlights the potential benefits of accurate geolocation data extraction from LiDAR point clouds within utility service territories.

Pages: 28 to 33

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-68558-139-8

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024