Remote Sensing for Environmental Monitoring: Forest Fire Monitoring in Real Time

2011 ◽  
pp. 47-64 ◽  
Author(s):  
Abel Calle ◽  
Julia Sanz ◽  
José-Luis Casanova
Keyword(s):  
Remote Sensing ◽  
Environmental Monitoring ◽  
Real Time ◽  
Forest Fire ◽  
Fire Monitoring

A real-time deep learning forest fire monitoring algorithm based on an improved Pruned + KD model

2021 ◽  
Author(s):  
Shengying Wang ◽  
Jing Zhao ◽  
Na Ta ◽  
Xiaoye Zhao ◽  
Mingxia Xiao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Forest Fire ◽  
Fire Monitoring ◽  
Monitoring Algorithm

Design & Application of Forest Fire Monitoring System by Remote Sensing for Beijing, Tianjin & Hebei

2013 ◽  
Vol 760-762 ◽  
pp. 1043-1047
Author(s):  
Chun Lei Zhao ◽  
Xia Hou
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Forest Fire ◽  
Hot Spots ◽  
Weather Condition ◽  
Remote Sensing Data ◽  
Geographical Information ◽  
Short Message ◽  
Fire Monitoring ◽  
Message Service

In order to monitor the forest fire effectively and to reduce the loss caused by forest fire in North China areas, a forest fire monitoring system was designed. Based on satellite remote sensing data, GIS data and meteorological information, the system has functions such as processing of data, adjusting of forest fire index for judging hot spots, intelligent judging of hot spots, and analyzing of geographical information and weather condition of hot spots. Also fire information is issued on web and by short message service. The system makes the remote sensing monitoring of forest fire automatically.

scholarly journals Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shaoxiong Zheng ◽  
Weixing Wang ◽  
Zeqian Liu ◽  
Zepeng Wu
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Monitoring System ◽  
Forest Fire ◽  
Forest Fires ◽  
Operating Cost ◽  
Operating Efficiency ◽  
Rescue Operation ◽  
Fire Monitoring ◽  
Forest Farm

Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire monitoring, this paper proposes a forest fire monitoring system based on drones and deep learning. The proposed system aims to solve the shortcomings of traditional forest fire monitoring systems, such as blind spots, poor real-time performance, expensive operational costs, and large resource consumption. The image processing techniques are used to determine whether the frame returned by a drone contains fire. This process is accomplished in real time, and the resultant information is used to decide whether a rescue operation is needed. The proposed method has simple operations, high operating efficiency, and low operating cost. The experimental results indicate that the relative accuracy of the proposed algorithm is 81.97%. In addition, the proposed technique provides a digital ability to monitor forest fires in real time effectively. Thus, it can assist in avoiding fire-related disasters and can significantly reduce the labor and other costs of forest fire disaster prevention and suppression.

Application of Remote Sensing on Monitoring of Forest Fire

2012 ◽  
Vol 468-471 ◽  
pp. 290-293
Author(s):  
Jian Huan Zhang ◽  
Shan Lin ◽  
Ling Hua Kong ◽  
Yan Ping Chen
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Satellite Remote Sensing ◽  
Fire Monitoring ◽  
Advantages And Disadvantages ◽  
The Future ◽  
In Fire

Remote sensing (RS) technology plays a most important role in forest fire monitoring. This paper reviews the application of satellite remote sensing, and introduces sensors which are commonly used for fire monitoring. The advantages and disadvantages are discussed by comparison and the paper specifically focuses on the application of RS based pre-fire forecast and pro-fire evaluation. With the help of this paper, the development of this technology could be well acknowledged, and it can therefore be believed that remote sensing would play a more important role in fire monitoring in the future.

The new generation of remote sensing services for operational forest fire-fighting within GMES

2006 ◽  
Author(s):  
Fernando Valcarce ◽  
Jesús Gonzalo ◽  
Joaquín Ramírez ◽  
Abel Calle Montes ◽  
Emilio Chuvieco
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Fire Fighting ◽  
New Generation
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