Forest Fire Prevention Programs and Their Evaluation In U.S. Forest Service Region 8

1982 ◽  
Author(s):  
G. Richard Wetherill
Keyword(s):  
Forest Fire ◽  
Prevention Programs ◽  
Forest Service ◽  
Fire Prevention ◽  
Forest Fire Prevention

scholarly journals Forest Fire Prevention Data: A Change in Perspectives

1983 ◽  
Vol 59 (5) ◽  
pp. 229-234 ◽  
Author(s):  
Paul M. Woodard ◽  
Joe Niederleitner
Keyword(s):  
Forest Fire ◽  
Prevention Programs ◽  
Fire Prevention ◽  
Minor Variation ◽  
Forest Protection ◽  
Wildfire Occurrence ◽  
Sampling Intensity ◽  
Forest Fire Prevention ◽  
Specific Education

Forest fire prevention data from ten different forest protection agencies in Canada were analyzed and evaluated. Data currently being collected fail to provide the information required for effective fire prevention programs. Information on the unsafe acts and conditions at the time and place of burning is required if protection staffs are to develop more specific education, engineering and enforcement programs to reduce wildfire occurrence. The sampling intensity for collecting fire prevention data does not seem to be justified in light of the minor variation in ignition causes between years.

La protezione dagli incendi boschivi nelle Alpi centro-occidentali | Forest Fire-Prevention in the Central Eastern Alps

2000 ◽  
Vol 151 (9) ◽  
pp. 325-335 ◽  
Author(s):  
Giovanni Bovio
Keyword(s):  
Forest Fire ◽  
Eastern Alps ◽  
Fire Prevention ◽  
Forest Fire Prevention ◽  
Central Eastern

Important forest fire prevention developments of the Lombardy, Piedmont and Aosta Valley regions are highlighted in this study and a certain number of activities considered able to improve the situation are proposed.

scholarly journals Forest Fire Prevention Using WSN Assisted IOT

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1317 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav Ji Nigam
Keyword(s):  
Internet Of Things ◽  
Sensor Network ◽  
Forest Fire ◽  
Clustering Algorithm ◽  
Base Station ◽  
Sensor Nodes ◽  
Fire Prevention ◽  
New Era ◽  
Data Flows ◽  
Forest Fire Prevention

Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.  

Fuzzy-Based Forest Fire Prevention and Detection by Wireless Sensor Networks

2018 ◽  
pp. 478-488 ◽  
Author(s):  
Josué Toledo-Castro ◽  
Iván Santos-González ◽  
Pino Caballero-Gil ◽  
Candelaria Hernández-Goya ◽  
Nayra Rodríguez-Pérez ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Forest Fire ◽  
Wireless Sensor ◽  
Fire Prevention ◽  
Forest Fire Prevention
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