forest fire detection-2019-projects



Autonomous forest fire detection
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Forest fire detection is a very important issue in the pre-suppression process. Timely detection allows the suppression units to reach the fire in its initial stages and this will reduce the suppression costs considerably. The autonomous forest fire detection principle is

Forest Fire Modeling and Early Detection using Wireless Sensor Networks.
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Early detection of forest fires is the primary way of minimizing their damages. We present the design of a wireless sensor network for early detection of forest fires. We first present the key aspects in modeling forest fires according to the Fire Weather Index (FWI) System which is

Techniques for reducing false alarms in infrared forest – fire automatic detection systems
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This paper presents techniques to reduce false alarms in forest – fire detection systems based on infrared cameras. Several software components to implement these techniques are discussed. The components are based on thresholds, oscillation detection , matching of

Image processing based forest fire detection
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A novel approach for forest fire detection using image processing technique is proposed. A rule based color model for fire pixel classification is used. The proposed algorithm uses RGB and YCbCr color space. The advantage of using YCbCr color space is that it can separate

Wireless sensor networks and fusion information methods for forest fire detection
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Research in wireless sensor networks (WSNs) has experienced a significant growth in recent years. One topic of special interest is the use of WSNs in the detection of forest fires. In this paper, we propose two algorithms for forest fire detection . The proposed algorithms

Integrated systems for early forest – fire detection
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This paper presents a scheme of multi-sensorial integrated systems for early detection of forest fires. Several information and data sources have been used, including infrared images, visual images, data from sensors, maps and models. An implementation of an

Efficient forest fire detection system: a spatial data mining and image processing based approach
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The drastic ascent in the volume of spatial data owes its growth to the technical advancements in technologies that aid in spatial data acquisition, mass storage and network interconnection. Thus the necessity for automated detection of spatial knowledge from

An improved algorithm for forest fire detection using HJ data
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Using the characteristics of the environment and disaster monitoring and forecasting small satellite constellation (HJ), the moderate resolution imaging spectroradiometer (MODIS) forest fire detection contextual algorithm was improved to adapt the HJ-infrared sensor (HJ Forest fires can be the cause of serious environmental and economic damages. For this reason considerable effort has been directed toward forest protection and fire fighting. The means traditionally used for early fire detection mainly consist in human observers

Forest fire detection based on MODIS satellite imagery, and Comparison of NOAA satellite imagery with fire fighters Information
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Impacts of boreal forest fires have absorbed intensive attention because of huge fires in these years in Alaska as well as Siberia. To reduce impacts of forest fire in boreal forest area, the early fire detection is one of essential components in firefighting activity because of

Forest fires prevention in Portugal using GIS to help improving early fire detection effectiveness
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Forest fires and burnt area in Portugal have been increasing in the last decades, contrarily to other southern European countries, although more resources are being allocated to prevention, detection and fire fighting. To minimize the probability of wildfires occurrence, it

A method for forest fire detection using uav
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This software provide functions on processing UAV (unmanned aerial vehicle) aerial image data according to the requirements of forestry area application on UAV platform. It gives a real-time and remote watch on fire in Greater Xingan Mountains, simultaneously the UAV is

An agent-based algorithm for forest fire detection
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For remote sensing image analysis, it is necessary to use spatial information surrounding pixels, in addition to spectral information of them. Several works have been done in this field. On the other hand, autonomous agents, a newly explored area of research in image

Forest fire detection through wireless sensor network using type-2 fuzzy system
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Fire detection is always been a crucial challenge for human, moreover detecting fire using automated sensors definitely requires efficient and accurate ways. Since fire depends on more than one physical/environmental condition simultaneously, so in this paper we have

Forest Fire Detection for Near Real Time Monitoring Using Geostationary Satellites
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Forest fires are an important component of the savanna, tundra and boreal forest ecosystems. The increasing rate of the occurrence of fires however has increased the concern over their impacts on climate change and fragile ecosystems. This requires efficient

Forest fire detection and monitoring by means of an integrated MODIS-MSG system
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This work presents the MSG-SEVIRI sensors capacity for the detection of forest fires and the subsequent fire monitoring. The Remote Sensing Laboratory of the University of Valladolid has a receiver system in real time as well as an operating fire detection system, also in real

An agent-based approach for regional forest fire detection using MODIS data
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In this study, we propose an agent-based approach for adaptive regional forest fire detection using MODIS data. It utilizes the tests used in MODIS version 4 contextual fire detection algorithm to determine agent behavioral responses. To do so, initially, a collection of

Multi-sensor based forest fire detection system
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Wireless Sensor Networks (WSNs) have become hot topic in field of research in recent days. In day to day life we come across many problems which left unresolved by humans, so at that time we think of collaborating human knowledge with technology to eradicate the

A comparative study of three algorithms for forest fire detection in Iran
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Fire as a natural disaster plays a major role in deforestation; is a major source of trace gases, aerosols and carbon fluxes. Approximately 7 percent of Iran area is covered by forests/and wooded lands. According to the ECE/FAO database on forest /other wooded land

Forest fire detection solution based on UAV aerial data
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This software provides functions on processing UAV (unmanned aerial vehicle) aerial image data according to the requirements of forestry area application on UAV platform. It gives a real-time and remote watch on fire in Greater Xingan Mountains, simultaneously the UAV is






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