TECHNOLOGIE SOFUNMANNED SYSTEM SINFIRE PREVENTION

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.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.58168/e-sestti2025_221-223
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
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article

TECHNOLOGIE SOFUNMANNED SYSTEM SINFIRE PREVENTION

V. N. Rudenko, K. Shabunina
Fire effects on ecosystems
article

TECHNOLOGIE SOFUNMANNED SYSTEM SINFIRE PREVENTION

V. N. Rudenko, K. Shabunina
article en

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.

Voronezh State University of Forestry and Technologies (RU)
Life in Land
Openalex Percentile: Top 86%
Fire effects on ecosystems
DOIOpen Access PDFOpenAlex
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TECHNOLOGIE SOFUNMANNED SYSTEM SINFIRE PREVENTION — V. N. Rudenko, K. Shabunina · (2025) | TGRS Research Map | TGRS