Work

Unmanned Systems Technology in Fire Prevention

Year: 2025

Type: conference-paper

Abstract: The article is devoted to the use of unmanned aerial vehicles (UAVs) for the identification of areas with increased fire risk, such as overgrown areas and areas with deadwood. Remote sensing, vegetation analysis and risk prediction technologies using artificial intelligence (AI) are discussed.

DOI: 10.58168/e-sestti2025_254-256

Authors: K. Shabunina, V. Rudenko

Institution: Voronezh State University of Forestry and Technologies

Language: English

Topic: Fire Detection and Safety Systems

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDGs: Life on land, Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4411419219

FWCI:

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