Results 161 to 170 of about 4,939,742 (208)

Helicopter over forest fire

A view of a helicopter flying above hills and smoke from a forest fire, location and date ...

core  

Methane Emissions in Melbourne, Australia; Part 1: Prior Estimates Using Global and National Data

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract This paper is the first part of a comprehensive study that enhances the understanding of methane emissions in Melbourne, Australia, by combining emission inventories and atmospheric observations. We utilized global, national and regional datasets to produce prior gridded estimates of methane emissions for the Melbourne region.
N. Shahrokhi, C. M. Trudinger, P. J. Rayner, J. Ramirez Gamboa, Z. M. Loh, C. G. R. Caldow, B. L. Dunse, D. M. Etheridge, P. J. Fraser, P. B. Krummel, A. K. Luhar, J. Navarro Garcia, R. Schofield, A. R. Stavert   +13 more
wiley   +1 more source

Investigating Buoyant Plume Dynamics Induced by Localized Fire‐Simulated Heating Over Plant Canopies Using LES

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 19, 16 October 2026.
Abstract Plume interaction with a forest canopy results in flow features distinct from those in grasslands. Here, we model the turbulence dynamics of a buoyant plume in a homogeneous plant canopy with a crosswind using Large‐Eddy Simulations. As the plume interacts with the crosswind, we observe increased vorticity at the windward and tilted hair‐pin ...
Ajinkya Desai, Antonio Quim Cervantes, Tirtha Banerjee   +2 more
wiley   +1 more source

Design and Construct a Forest Fire Detection and Control System.

This project designed and constructed a forest fire detection and control system to lessen the devastating effects of forest fires. The system utilizes a network of wireless sensors, deployed in the forest, to detect early signs of fire.
Ampumuza, Mary Viola
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Application of the YOLO algorithm in fire and smoke detection systems for early detection of forest fires in real time

PRZEGLĄD ELEKTROTECHNICZNY
openaire   +1 more source

A High-Precision Forest Fire Smoke Detection Approach Based on ARGNet

Computers and Electronics in Agriculture, 2022
The occurrence of forest fires can lead to ecological damage, property loss, and human casualties. Current forest fire smoke detection methods do not sufficiently consider the characteristics of smoke with high transparency and no clear edges and have ...
Weiwei Cai, Liujun Li, Guoxiong Zhou
exaly   +4 more sources

Omni-Dimensional Dynamic Convolution Meets Bottleneck Transformer: A Novel Improved High Accuracy Forest Fire Smoke Detection Model

Forests, 2023
The frequent occurrence of forest fires in recent years has not only seriously damaged the forests’ ecological environments but also threatened the safety of public life and property.
Haifeng Lin, Ji Lin, Di Bai
exaly   +2 more sources

Forest Fire Smoke Detection Research Based on the Random Forest Algorithm and Sub-Pixel Mapping Method

Forests, 2023
In order to locate forest fire smoke more precisely and expand existing forest fire monitoring methods, this research employed Himawari-8 data with a sub-pixel positioning concept in smoke detection. In this study, Himawari-8 data of forest fire smoke in
Xihao Li, Sanqing Tan
exaly   +2 more sources

A Small-Target Forest Fire Smoke Detection Model Based on Deformable Transformer for End-to-End Object Detection

Forests, 2023
Forest fires have continually endangered personal safety and social property. To reduce the occurrences of forest fires, it is essential to detect forest fire smoke accurately and quickly.
Yunfei Liu, Jingwen Huang
exaly   +2 more sources

LD-YOLO: A Lightweight Dynamic Forest Fire and Smoke Detection Model With Dysample and Spatial Context Awareness Module

Forests
The threat of forest fires to human life and property causes significant damage to human society. Early signs, such as small fires and smoke, are often difficult to detect. As a consequence, early detection of smoke and fires is crucial.
Bensheng Yun
exaly   +2 more sources