UNMANNED SYSTEMS TECHNOLOGY IN FIRE 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.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.58168/e-sestti2025_254-256
Primary Topic
Aquatic and Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UNMANNED SYSTEMS TECHNOLOGY IN FIRE PREVENTION

V. N. Rudenko, K. Shabunina
Aquatic and Environmental Studies
article

UNMANNED SYSTEMS TECHNOLOGY IN FIRE 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 83%
Aquatic and Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

UNMANNED SYSTEMS TECHNOLOGY IN FIRE PREVENTION — V. N. Rudenko, K. Shabunina · (2025) | TGRS Research Map | TGRS