Early Forest Fire Detection Using Radio-Acoustic Sounding System

Automated early fire detection systems have recently received a significant amount of attention due to their importance in protecting the global environment. Some emergent technologies such as ground-based, satellite-based remote sensing and distributed sensor networks systems have been used to detect forest fires in the early stages. In this study, a radio-acoustic sounding system with fine space and time resolution capabilities for continuous monitoring and early detection of forest fires is proposed. Simulations show that remote thermal mapping of a particular forest region by the proposed system could be a potential solution to the problem of early detection of forest fires

Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network

A wildland fire is an uncontrolled fire that occurs mainly in forest areas, although it can also invade urban or agricultural areas. Among the main causes of wildfires, human factors, either intentional or accidental, are the most usual ones. The number and impact of forest fires are expected to grow as a consequence of the global warming. In order to fight against these disasters, it is necessary to adopt a comprehensive, multifaceted approach that enables a continuous situational awareness and instant responsiveness. This paper describes a hierarchical wireless sensor network aimed at early fire detection in risky areas, integrated with the fire fighting command centres, geographical information systems, and fire simulators. This configuration has been successfully tested in two fire simulations involving all the key players in fire fighting operations: fire brigades, communication systems, and aerial, coordination, and land means.This work has been developed under the framework of the research project PROMETEO, CEN-20101010, funded by the Centre for the Technological Industrial Development (CDTI), Spanish Ministerio de Economia y Competitividad.Molina Picó, A.; Cuesta Frau, D.; Araujo, Á.; Alejandre, J.; Rozas, A. (2016). Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network. Journal of Sensors. (8325845):1-8. https://doi.org/10.1155/2016/8325845S18832584

A new wildland fire danger index for a Mediterranean region and some validation aspects

Wildland fires are the main cause of tree mortality in Mediterranean Europe and a major threat to Spanish forests. This paper focuses on the design and validation of a new wildland fire index especially adapted to a Mediterranean Spanish region. The index considers ignition and spread danger components. Indicators of natural and human ignition agents, historical occurrence, fuel conditions and fire spread make up the hierarchical structure of the index. Multi-criteria methods were used to incorporate experts¿ opinion in the process of weighting the indicators and to carry out the aggregation of components into the final index, which is used to map the probability of daily fire occurrence on a 0.5-km grid. Generalised estimating equation models, which account for possible correlated responses, were used to validate the index, accommodating its values onto a larger scale because historical records of daily fire occurrence, which constitute the dependent variable, are referred to cells on a 10-km grid. Validation results showed good index performance, good fit of the logistic model and acceptable discrimination power. Therefore, the index will improve the ability of fire prevention services in daily allocation of resources.The authors acknowledge the support received from the Ministry of Science and Innovation through the research project Modelling and Optimisation Techniques for a Sustainable Development, Ref. EC02008-05895-C02-01/ECON.Vicente López, FJD.; Crespo Abril, F. (2012). A new wildland fire danger index for a Mediterranean region and some validation aspects. 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Automatic Forest-Fire Measuring Using Ground Stations and Unmanned Aerial Systems

This paper presents a novel system for automatic forest-fire measurement using cameras distributed at ground stations and mounted on Unmanned Aerial Systems (UAS). It can obtain geometrical measurements of forest fires in real-time such as the location and shape of the fire front, flame height and rate of spread, among others. Measurement of forest fires is a challenging problem that is affected by numerous potential sources of error. The proposed system addresses them by exploiting the complementarities between infrared and visual cameras located at different ground locations together with others onboard Unmanned Aerial Systems (UAS). The system applies image processing and geo-location techniques to obtain forest-fire measurements individually from each camera and then integrates the results from all the cameras using statistical data fusion techniques. The proposed system has been extensively tested and validated in close-to-operational conditions in field fire experiments with controlled safety conditions carried out in Portugal and Spain from 2001 to 2006

Advancements in Forest Fire Prevention: A Comprehensive Survey

Nowadays, the challenges related to technological and environmental development are becoming increasingly complex. Among the environmentally significant issues, wildfires pose a serious threat to the global ecosystem. The damages inflicted upon forests are manifold, leading not only to the destruction of terrestrial ecosystems but also to climate changes. Consequently, reducing their impact on both people and nature requires the adoption of effective approaches for prevention, early warning, and well-coordinated interventions. This document presents an analysis of the evolution of various technologies used in the detection, monitoring, and prevention of forest fires from past years to the present. It highlights the strengths, limitations, and future developments in this field. Forest fires have emerged as a critical environmental concern due to their devastating effects on ecosystems and the potential repercussions on the climate. Understanding the evolution of technology in addressing this issue is essential to formulate more effective strategies for mitigating and preventing wildfires

ESTUDO COMPARATIVO DE TECNOLOGIAS PARA DETECÇÃO PRECOCE DE INCÊNDIOS FLORESTAIS EM ÁREAS DE REFLORESTAMENTO NO BRASIL

É clara a constatação que a problemática dos incêndios florestais atinge todas as áreas do planeta. Também é evidente que o assunto não é novo e portanto, muitos esforços para o desenvolvimento de tecnologias e métodos que possam mitigar esta situação vêm sendo feitos há muitos anos. O objetivo desta pesquisa é iluminar o tema trazendo uma visão ampliada sobre o cenário das tecnologias em uso e/ou em estudo acerca da detecção precoce de incêndios florestais nos últimos anos.Como síntese, podemos destacar que as tecnologias baseadas em vídeo, representam o maior número de menções e de artigos publicados.Também podemos afirmar que não há a solução isenta de pontos fracos nem ideal para todas as situações.Como produto deste projeto, buscou-se fornecer elementos para que o tomador de decisão tenha informações consistentes no momento de decidir qual modelo de Sistema melhor atende suas necessidades na busca por Sistemas automatizados para a Detecção Precoce de Incêndios Florestais

Design and Field Test of a WSN Platform Prototype for Long-Term Environmental Monitoring

Long-term wildfire monitoring using distributed in situ temperature sensors is an accurate, yet demanding environmental monitoring application, which requires long-life, low-maintenance, low-cost sensors and a simple, fast, error-proof deployment procedure. We present in this paper the most important design considerations and optimizations of all elements of a low-cost WSN platform prototype for long-term, low-maintenance pervasive wildfire monitoring, its preparation for a nearly three-month field test, the analysis of the causes of failure during the test and the lessons learned for platform improvement. The main components of the total cost of the platform (nodes, deployment and maintenance) are carefully analyzed and optimized for this application. The gateways are designed to operate with resources that are generally used for sensor nodes, while the requirements and cost of the sensor nodes are significantly lower. We define and test in simulation and in the field experiment a simple, but effective communication protocol for this application. It helps to lower the cost of the nodes and field deployment procedure, while extending the theoretical lifetime of the sensor nodes to over 16 years on a single 1 Ah lithium battery

From Common Operational Picture to Common Situational Understanding : A Framework for Information Sharing in Multi-Organizational Emergency Management

Complex emergencies such as natural disasters are increasing in frequency and scope, in all regions of the world. These emergencies have devastating impacts on people, property, and the environment. Responding to these events and reducing their impact requires that emergency management organizations (EMOs) collaborate in their operations. Complex emergencies require extraordinary efforts from EMOs and often should be handled beyond ordinary routines and structures. Such operations involving multiple stakeholders are typically characterized by inadequate information sharing, decision-making problems, limited situational awareness (SA), and lack of common situational understanding. Despite a high volume of research on these challenges, evaluations from complex disasters and large-scale exercises document that there are still several unsolved issues related to information sharing and the development of common situational understanding. Examples here include fulfillment of heterogeneous information needs, employment of different communication tools and processes with limited interoperability, and information overload resulting from a lack of mechanisms for filtering irrelevant information. Multi-organizational emergency management is an established area of research focusing on how to successfully collaborate and share information for developing common situational understanding. However, the level of complexity and situational dependencies between the involved EMOs create challenges for researchers. An important element for efficient collaboration and information sharing is building and maintaining a common operational picture (COP). Sharing important information is a key element in emergency management involving several EMOs, and both static and dynamic information must be accessible to perform tasks effectively during emergency response. To be proactive and mitigate the emergency impacts requires up-to-date information, both factual information via the COP and the ability to share interpretations and implications through using a communication system for rapid verbal negotiation. The overall research objective is to investigate how stakeholders perceive and develop SA and COP, and to explore and understand key requirements for stakeholders to develop a common situational understanding in complex multi-organizational emergency management.publishedVersio

Untersuchung von Methoden zur Früherkennung von Bränden in Wald- und Vegetationsgebieten

Dissertation of Chief Fire Officer Dipl.-Ing. M. Sc. Dirk Schneider for achieving the academic degree of Dr.-Ing. of the Faculty of Forestry, Geo and Hydro Sciences of the Technical University of Dresden with the title: “Early Detection of Fires in Areas of Forests and other Vegetation” Fires threaten and destroy extensive forest and vegetation areas every year, endangering people and its settlements, leading to significant pressures on the environment and destroying considerable high value resources. The expenditures in manpower, logistics and finance for safety in general and fire suppression in particular are considerable. To minimize these varied and extensive consequences of fires, early detection is desirable, making an effective firefighting strategy possible. This early detection is particularly of importance in remote, large-scale areas and territories not under observation by the population, especially if they are subject to an increased or high vulnerability. After investigating and considering the causes, that repeatedly lead to forest fires not only in the Federal Republic of Germany but worldwide, the author describes different traditional and modern methods for early detection of fires in areas of forests and other vegetation. Furthermore the author develops a performance item catalog, basing on practical and economic experience, by which not only novel early warning systems can be developed, but the systems and methods described in the present study also are assessed and compared. The comparison of various early warning systems is guided not only by means of technical features, but also from an economic perspective. Financial calculation methods, staff costs and the peculiarities in public administration are particularly noted. The author also shows the different parameters that influence the selection of an appropriate early warning system for the detection of forest and vegetation areas. It becomes clear that it is the scene of the incident with its specific parameters that determines the most useful early warning system.:Vorwort 3 Abstract 6 Inhaltsverzeichnis 7 1 Einleitung 12 2 Ziel- und Aufgabenstellung 17 3 Vorbetrachtungen und Stand des Wissens 18 3.1 Die Waldbrandsituation 18 3.2 Brandursachen in Wäldern und Vegetationsgebieten 21 3.3 Methoden der Waldbrandfrüherkennung 27 3.3.1 Herkömmliche Methoden der Waldbrandfrüherkennung 27 3.3.1.1 Notrufmeldung durch die Öffentlichkeit 27 3.3.1.2 Feuerwachtürme 29 3.3.1.3 Luftbeobachtung 35 3.3.1.3.1 Feuerwehrflugdienst Niedersachsen 39 3.3.1.3.2 Luftrettungsstaffel Bayern 44 3.3.1.3.3 Avialesookhrana 47 3.3.2 Moderne Systeme 50 3.3.2.1 Terrestrische Systeme 51 3.3.2.1.1 Firewatch 53 3.3.2.1.2 Firehawk Forestwatch 69 3.3.2.1.3 Integriertes Waldbrand-Beobachtungssystem (IPNAS) 72 3.3.2.1.4 FireALERT 76 3.3.2.1.5 Fire Wall 83 3.3.2.1.6 Radio-Akustisches-Sondierungssystem (RASS) 87 3.3.2.1.7 Mobile Biological Sensors (MBS) 93 3.3.2.1.8 Light Detection And Ranging (LIDAR) 101 3.3.2.1.9 Golden Eye 104 3.3.2.2 Aeronautische Systeme 108 3.3.2.2.1 National Infrared Operations Program (NIROPS) 108 3.3.2.2.2 Wildfire Airborne Sensor Program (WASP) 116 3.3.2.2.3 Unmanned Aerial Vehicles (UAV) 121 3.3.2.2.4 Luftschiffe 130 3.3.2.3 Orbitale Systeme 135 3.3.2.3.1 Nomos 137 3.3.2.3.2 Bispectral Infrared Detection (BIRD) 141 3.3.2.3.3 Moderate Resolution Imaging Spectroradiometer (MODIS) 146 3.3.2.3.4 Polar Operational Environmental Satellite Project (POES) 151 4 Material und Methoden 154 4.1 Material 155 4.1.1 Fachliteratur und Forschungsberichte 155 4.1.2 Fachberichte internationaler staatlicher Dienststellen 155 4.1.3 Technische Betriebsunterlagen von Herstellern 155 4.2 Methoden 156 4.2.1 Gespräche und Interviews 156 4.2.2 Praxisorientiertes Erfahrungs- und Anwenderwissen 156 4.2.3 Vergleich zur Bewertung der technischen Leistungsfähigkeit 157 4.2.4 Wirtschaftlichkeit 159 4.2.4.1 Wirtschaftlichkeit unter betriebs- und finanzwirtschaftlicher Betrachtung 160 4.2.4.1.1 Die Wirtschaftlichkeitsanalyse 161 4.2.4.1.1.1 Wirtschaftlichkeitsrechnung 161 4.2.4.1.1.1.1 Statische Verfahren 161 4.2.4.1.1.1.1.1 Kosten- und Gewinnvergleichsrechnung 162 4.2.4.1.1.1.1.2 Rentabilitätsvergleichsrechnung 162 4.2.4.1.1.1.1.3 Amortisationsvergleichsrechnung 162 4.2.4.1.1.1.2 Dynamische Verfahren 163 4.2.4.1.1.1.2.1 Kapitalwertmethode 163 4.2.4.1.1.1.2.2 Internal Rate of Return 164 4.2.4.1.1.1.2.3 Annuitätenmethode 164 4.2.4.1.1.2 Kosten-Nutzen-Analyse 165 4.2.4.1.1.3 Nutzwertanalyse 165 4.2.4.2 Wirtschaftlichkeit in der öffentlichen Verwaltung 166 4.2.4.3 Personalkosten 170 4.2.4.4 Kostenvergleich verschiedener Früherkennungssysteme 172 5 Entwicklung eines Leistungspositionskataloges 174 5.1 Funktionale Anforderungen 176 5.1.1 Melde- und Dispositionszeiten 176 5.1.1.1 Frühzeitige Branderkennung 176 5.1.1.2 Schnelle Meldewege 177 5.1.1.3 Automatisierte Ortsbestimmung 177 5.1.2 Einsatzbereitschaft 177 5.2 Nicht-Funktionale Anforderungen 178 5.2.1 Zuverlässigkeit 178 5.2.1.1 Geringe Fehlalarm- und Detektionsverlustrate 178 5.2.1.2 Wetterunabhängigkeit 179 5.2.1.3 Temperaturunabhängigkeit 179 5.2.1.4 UV-Beständigkeit 179 5.2.1.5 Elektromagnetische Verträglichkeit 179 5.2.1.6 Reduktion von Täuschungsalarmen 180 5.2.1.7 Zwei-Linien-Abhängigkeit 180 5.2.2 Leistungsvermögen 181 5.2.2.1 Automatisches Wirken 181 5.2.2.2 Einsatzinformationsprojektion 181 5.2.3 Benutzbarkeit 181 5.2.3.1 Bedienbarkeit 181 5.2.3.2 Intuitive Erfassbarkeit 182 5.2.4 Portierung und Übertragung 182 5.2.4.1 Leitstellenaufschaltung 182 5.2.4.2 Geoinformationssystem 182 5.2.4.3 Schnittstelle für Wetterinformationen 183 5.2.4.4 Kommunikationsredundanz 183 5.2.4.5 Kompatibilität 183 5.2.4.6 Ergonomie, Design und Ästhetik 183 5.3 Sicherheitsanforderungen 184 5.3.1 Umweltsicherheit 184 5.3.1.1 Gesundheitsschutz 184 5.3.1.2 Umweltverträglichkeit 184 5.3.2 Technische Betriebssicherheit 185 5.3.2.1 Systemstabilität 185 5.3.2.2 Unabhängigkeit von Dritten 185 5.3.2.3 Zwei-Wege-Energieversorgung 185 5.3.2.4 Umweltresistenz 186 5.4 Wirtschaftlichkeit 186 5.4.1 Wartung und Instandsetzung 186 5.4.2 Erweiterbarkeit 186 5.5 Der Leistungspositionskatalog 187 6 Ergebnisse 188 6.1 Die Notwendigkeit des Einsatzes von Früherkennungssystemen 189 6.2 Grundlegende Bewertung der Leistungsfähigkeit 190 6.2.1 Public Report (Notrufmeldung durch die Öffentlichkeit) 192 6.2.2 Feuerwachtürme 193 6.2.3 Luftbeobachtung 193 6.2.4 Unmanned Aerial Vehicles (UAV) 194 6.2.5 Luftschiffe 195 6.2.6 Terrestrische CCTV-Technik 196 6.2.7 Terrestrische OSS-Videotechnik 196 6.2.8 Erdgebundene Infrarotsysteme 197 6.2.9 Erdgebundene Temperatursensoren 197 6.2.10 Light Detection And Ranging (LIDAR) 198 6.2.11 Sonic Detection and Ranging (SODAR) und Radio-Akustische-Sondierungssysteme (RASS) 199 6.2.12 Mobile biologische Sensoren (MBS) 200 6.2.13 Satellitentechnologie 201 6.2.14 Zusammenfassung der grundlegenden Bewertung 201 6.3 Bewertung nach dem Leistungspositionskatalog 204 6.3.1 Erfüllung der funktionalen Anforderungen 205 6.3.2 Erfüllung der nicht-funktionalen Anforderungen 206 6.3.3 Erfüllung der Sicherheitsanforderungen 206 6.3.4 Betrachtung der Wirtschaftlichkeit 207 6.3.5 Public Report (Notrufmeldung durch die Öffentlichkeit) 207 6.3.6 Feuerwachturm 209 6.3.7 Luftbeobachtung 212 6.3.8 Unmanned Aerial Vehicles (UAV) 213 6.3.9 Luftschiffe 216 6.3.10 CCTV-Technik 218 6.3.11 OSS-Videotechnik 220 6.3.12 Erdgebundene Infrarotsysteme 222 6.3.13 Erdgebundene Temperatursysteme 224 6.3.14 Light Detection And Ranging (LIDAR) 226 6.3.15 Sonic Detection and Ranging (SODAR) und Radio-Akustische-Sondierungssysteme (RASS) 228 6.3.16 Mobile biologische Sensoren (MBS) 229 6.3.17 Satellitentechnologie 232 6.3.18 Zusammenfassung der Bewertung nach dem Leistungspositionskatalog 235 6.4 Bewertung anhand komplexer Kriterien 243 6.5 Die Vulnerabilität von Ökosystemen 244 6.6 Kostenvergleich ausgewählter Früherkennungssysteme 246 6.7 Bewertung der betriebs- und finanzwirtschaftlichen Methoden 257 6.8 Wirtschaftlichkeit und beeinflussende Nebenaspekte 258 6.9 Die Anwendung von Analysemethoden 261 7 Diskussion 263 7.1 Grundlagen und Methoden der Waldbrandfrüherkennung 263 7.2 Die Komplexität der Findung eines geeigneten Früherkennungssystems 276 7.3 Der Kostenvergleich von Früherkennungssystemen 276 7.4 Allgemeine Wirtschaftlichkeit 278 7.5 Technische Wirtschaftlichkeit 278 7.6 Finanz- und betriebswirtschaftliche Methoden 279 8 Schlussfolgerungen 280 8.1 Lehre zur Bedeutung von Wald- und Vegetationsgebieten 280 8.2 Prävention und Aufklärung 281 8.3 Schutzbedarf feuerunabhängiger Ökosysteme 282 8.4 Notwendigkeit des Einsatzes von Früherkennungssystemen 282 8.5 Der Einfluss der Empfindlichkeit eines Ökosystems 283 8.6 Technische Weiterentwicklung des Systems Feuerwachturm 284 8.7 Erfüllung funktionaler und nicht-funktionaler Anforderungen 285 8.8 Die Gewährleistung der Umweltsicherheit 286 8.9 Unzulässigkeit der Verwendung von Tieren als Früherkennungssystem 286 8.10 Die Wirtschaftlichkeit von Früherkennungssystemen 287 8.11 Die interdisziplinäre Nutzung zur Senkung von Kosten 288 8.12 Der Leistungspositionskatalog als Werkzeug 288 8.13 Orbitaler Systemverbund für den globalen Umweltschutz 289 8.14 Minimierung von Fehlalarmen durch Zwei-Linien-Abhängigkeit 290 8.15 Kombination unterschiedlicher Methoden zum Erhalt eines Idealsystems 291 8.16 Örtliche Bedingungen bestimmen das Früherkennungssystem 292 9 Zusammenfassung 293 10 Quellen- und Literaturverzeichnis (numerisch) 296 11 Quellen- und Literaturverzeichnis (alphabetisch) 338 Anhang I: Abkürzungsverzeichnis 344 Anhang II: Bilderverzeichnis 348 Anhang III: Tabellenverzeichnis 353 Anhang IV: Index 35