Forest Fire Monitoring System Research Articles

Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries

In this paper a method for remote detection of forest fires in video signals from surveillance cameras is presented. The idea is based on learned redundant dictionaries for sparse representation of feature vectors extracted from image patches on three different regions; smoke, sky and ground. A testing image patch is assigned to the region for which the corresponding dictionary gives the best sparse representation during segmentation. To further reduce the presence of misclassified patches, a spatio-temporal cuboid of patches is built around a classified patch to take a majority vote in the set of classes inside the cuboid. To reduce the number of false positives there is a verification process to determine if a region of interest is growing. Theory, results, issues and challenges related to the implementation of the forest fire monitoring system, and performance of the method are presented.

Automatization of Forest Fire Detection Using Geospatial Technique

Healthy forest is the vital resource to regulate climate at a regional and global level. Forest fire has been regarded as one of the major reasons for the loss of forest and degradation of the environment. Global warming is increasing its intensity at an alarming rate. Real-time fire detection is a necessity to avoid large scale losses. Remote sensing is a quick and cheap technique for detecting and monitoring forest fires on a large scale. Advance Very Radiometer Resolution (AVHRR) has been used already for a long period for fire detection. The use of Moderate Resolution Imaging Radio Spectrometer (MODIS) for fire detection has recently preceded AVHRR and a large number of fire products are being developed. MODIS based forest fire detection and monitoring system can solve the problem of real-time forest fire monitoring. The system facilitates data acquisition, processing, reporting and feedback on the fire location information in an automated manner. It provides location information at 1 × 1 kilometer resolution on the active fires which are present during the satellite overpass twice a day. The users are provided with the information on SMS alert with fire location details, email notification, and online visualization of fire locations on website automatically. The whole processes are automated and provide better accuracy for fire detection.

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

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.

Forest Fire Monitoring System Design based on Wireless Sensor Network

Forest Fire Monitoring System Design based on Wireless Sensor Network

Engineering of holonic multi agent intelligent forest fire monitoring system

In this paper we describe holonic multi agent architecture of iForestFire Intelligent Forest Fire Monitoring System through phases and activities of the holonic software engineering process. iForestFire is a web-based information system used in all aspects of forest fire management. Its central part is an artificial perception system, observer network, whose aim is early detection of forest fires. Although the agents that the system consists of are inseparably connected, they can be clustered in several independent systems that can be used separately. Independent holons are built from agents that are part of the observer network, as well as other agents with auxiliary functionalities.

Design and Realization of Forest Fire Monitoring System Based on GIS in Henan Province, China

Geographic Information System (GIS) is applied to the forest fire monitoring and management in Henan province, China. A forest fire monitoring system architecture is presented, which consists of the mobile client, the monitoring and management client, the map data server, and the business data processing server. The paper carried out the system database design and function design and realized the functions of forest resources inquire, fire warning, positioning and navigation of fire point, fire situation real-time dynamic plotting, and so on. The system can promote efficiently the informatization of monitoring, management, early warning in forest fire.

Design and Realization of Forest Fire Monitoring System Based on Image Analysis

In this paper the overall structure of forest fire monitoring system based on image analysis is designed and realized. The system includes three subsystems, which are the fire monitoring nodes based on image analysis, the forest fire prevention data center and remote monitoring terminal. It emphasizes the software and hardware realization of the fire monitoring nodes based on image analysis, analyzes the complete process of fire alarm, address locators, on-site real-time monitoring under the coordination of the ARM system, GPRS module, GPS module and EVS100K camera module. Finally, this paper describes the process how the administrator query, manage and analyze the fire prevention data.

TRIZ Theory is Used to Improve Based on Gray Projection Algorithm for Electronic Image Stabilization

TRIZ theory and electronic image stabilization technology and gray projection algorithm are introduced briefly. In the course of the study for gray projection algorithm used in forest fire monitoring system, the offset error estimation problem is encountered. Face to this problem, with provided innovation tools in TRIZ theory, we analyze this problem and resolve it through the pretreatment which re-select gray value. This method allows the algorithm to deal with obvious features of the image better. At the same time, it is showed that some help can be provided by TRIZ theory for computer algorithm design.

Forest Fire Monitoring System Based on Image Analysis

Large forest fires are very hazardous and often cause greater losses. However, due to the vast coverage of forests and the environmental complexity, monitoring which relies on sensor detection of direct contact almost cannot achieve its monitoring function. In this paper, the author proposes that long-range images will first be acquired and so do the images of a larger dynamic range of the observed region, then an embedded video monitoring system will be formed realizing a dynamic monitoring. With the techniques of dynamic image analysis and processing, dynamic image alarms and control signals can be obtained and such videos will be transmitted over the Internet in real-time. Experiments shows this system respond to fires with a fast speed of less than 20ms and the control of fire is highly accurate with a dynamic image area that is less than 1% of the background area.

Intelligent forest fire monitoring system

This paper presents iForestFire, an Environmental Monitoring Information System for forest fire protection. The system is composed of several components, each having a particular function. Automatic fire detection is a crucial component of the system. It is based on various complex image processing algorithms. Complexity of the system also emerges from integration, based on multi agent technology, of different environment information. The presented system contributes to the environment protection and is in use in Croatia for several years.

Application of PDA forest fire monitoring based on web service technology

The difficulty in information communication and sharing are major problems for forest fire monitoring and early warning in China. As authors, we applied web service technology to a personal digital assistant (PDA) forest fire monitoring system and propose the framework of a monitoring system based on service-oriented architecture (SOA). At the same time, we describe the composition and function of web services from a server side and a client side. The method for developing a web service invocation engine on the PDA is introduced in detail. Finally, an example of a fire danger rating and fire weather services system are established, based on the Beijing Forest Fire Control System. The results show that the PDA forest fire monitoring system based on web services can effectively take advantage of the existing fire protection decision information services, realize real-time information interaction and sharing, and improve the level of forest fire monitoring.