A new technique for visualization of forest fire smoke plumes using MODIS data

2012 ◽  
Author(s):  
Izumi Nagatani ◽  
Jun-ichi Kudoh ◽  
Koichi Kawano
Keyword(s):  
Forest Fire ◽  
New Technique ◽  
Modis Data ◽  
Smoke Plumes ◽  
Fire Smoke ◽  
A New Technique

scholarly journals Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data

2015 ◽  
Vol 7 (4) ◽  
pp. 4473-4498 ◽  
Author(s):  
Xiaolian Li ◽  
Weiguo Song ◽  
Liping Lian ◽  
Xiaoge Wei
Keyword(s):  
Neural Network ◽  
Forest Fire ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Smoke Detection ◽  
Modis Data ◽  
Fire Smoke

Some Measurements of Diffusion Parameters from Smoke Plumes1

1961 ◽  
Vol 42 (2) ◽  
pp. 101-105 ◽  
Author(s):  
Norman E. Bowne
Keyword(s):  
Aerial Photographs ◽  
New Technique ◽  
Turbulence Measurements ◽  
Diffusion Parameters ◽  
Smoke Plumes ◽  
A New Technique ◽  
Wind Vane

A new technique for the use of smoke as a visible quantitative tracer for diffusion measurements was applied to aerial photographs of smoke plumes. The turbulence measurements obtained from the smoke plumes are compared with turbulence measurements from a wind vane.

scholarly journals Forest Fire Effects on Air Quality in Ontario: Evaluation of Several Recent Examples

2013 ◽  
Vol 94 (7) ◽  
pp. 1059-1064 ◽  
Author(s):  
Frank Dempsey
Keyword(s):  
Air Quality ◽  
Forest Fire ◽  
Ground Level ◽  
Fire Effects ◽  
Transport Mechanisms ◽  
Wildfire Smoke ◽  
Smoke Plumes ◽  
Fire Smoke ◽  
Degree Of Confidence ◽  
High Degree

Several events were studied to examine the sources of smoke and pollutants that may affect air quality in Ontario as well as the transport mechanisms that result in effects on ground-level air quality. The selected events were strongly suspected of being influenced by forest fire smoke plumes and the evaluation of the events in this study confirmed (to a high degree of confidence) that smoke made a contribution to the measured pollutants. The main satellite-based remote-sensing product that correlated well with wildfire smoke plumes was carbon monoxide column amount.

Feasibility of forest-fire smoke detection using lidar

2003 ◽  
Vol 12 (2) ◽  
pp. 159 ◽  
Author(s):  
Andrei B. Utkin ◽  
Armando Fernandes ◽  
Fernando Simões ◽  
Alexander Lavrov ◽  
Rui Vilar
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Detection ◽  
High Repetition Rate ◽  
Smoke Detection ◽  
Smoke Plume ◽  
Smoke Plumes ◽  
Lidar Measurements ◽  
Fire Smoke ◽  
532 Nm

The feasibility and fundamentals of forest fire detection by smoke sensing with single-wavelength lidar are discussed with reference to results of 532-nm lidar measurements of smoke plumes from experimental forest fires in Portugal within the scope of the Gestosa 2001 project. The investigations included tracing smoke-plume evolution, estimating forest-fire alarm promptness, and smoke-plume location by azimuth rastering of the lidar optical axis. The possibility of locating a smoke plume whose source is out of line of sight and detection under extremely unfavourable visibility conditions was also demonstrated. The eye hazard problem is addressed and three possibilities of providing eye-safety conditions without loss of lidar sensitivity (namely, using a low energy-per-pulse and high repetition-rate laser, an expanded laser beam, or eye-safe radiation) are discussed.

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