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.

[1]  O. Faugeras,et al.  The Geometry of Multiple Images , 1999 .

[2]  Jianzhong Feng,et al.  New Fast Detection Method of Forest Fire Monitoring and Application Based on FY-1D/MVISR Data , 2007, CCTA.

[3]  Penggen Cheng,et al.  Unmanned aerial vehicle (UAV) real-time video registration for forest fire monitoring , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[4]  Aníbal Ollero,et al.  A distributed architecture for a robotic platform with aerial sensor transportation and self‐deployment capabilities , 2011, J. Field Robotics.

[5]  Jean François Santucci,et al.  Performance of a Protected Wireless Sensor Network in a Fire. Analysis of Fire Spread and Data Transmission , 2009, Sensors.

[6]  Mubarak Shah,et al.  Flame recognition in video , 2002, Pattern Recognit. Lett..

[7]  Gary L. Hufford,et al.  Detection and growth of an Alaskan forest fire using GOES-9 3.9 µm imagery , 1999 .

[8]  Richard Han,et al.  FireWxNet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments , 2006, MobiSys '06.

[9]  Eli Saber,et al.  Automated extraction of fire line parameters from multispectral infrared images , 2007 .

[10]  Ankush Mittal,et al.  An Efficient Contextual Algorithm to Detect Subsurface Fires With NOAA/AVHRR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[12]  Domingos Xavier Viegas,et al.  Forest fire propagation , 1998, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[13]  Juan Andrade-Cetto,et al.  Computing the rate of spread of linear flame fronts by thermal image processing , 2006 .

[14]  Yasar Guneri Sahin,et al.  Animals as Mobile Biological Sensors for Forest Fire Detection , 2007, Sensors.

[15]  Andrei B. Utkin,et al.  Evaluation of smoke dispersion from forest fire plumes using lidar experiments and modelling , 2006 .

[16]  J. Rice Mathematical Statistics and Data Analysis , 1988 .

[17]  Aníbal Ollero,et al.  A Multiresolution Threshold Selection Method Based on Training , 2004, ICIAR.

[18]  Konstantin Kondak,et al.  Cooperative Autonomous Helicopters for Load Transportation and Environment Perception , 2009 .

[19]  Moulay A. Akhloufi,et al.  A 3D vision system for the measurement of the rate of spread and the height of fire fronts , 2010 .

[20]  Begoña C. Arrue,et al.  Computer vision techniques for forest fire perception , 2008, Image Vis. Comput..

[21]  Alain Degiovanni,et al.  Identification of the upward gas flow velocity and of the geometric characteristics of a flame with a specific thermal sensor , 2005 .

[22]  San Miguel Ayanz Jesus,et al.  Potential and Limitations on the Operational Use of Remote Sensing for Active Fire Detection. , 2005 .

[23]  Aníbal Ollero,et al.  Real-Time Feature Matching in Image Sequences for Non-Structured Environments. Applications to Vehicle Guidance , 2000, J. Intell. Robotic Syst..

[24]  J. San Miguel-Ayanz,et al.  Combining AVHRR and ATSR satellite sensor data for operational boreal forest fire detection , 2003 .

[25]  Eliot W. Zimmerman Forest fire detection , 1969 .

[26]  Miguel Garcia,et al.  A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification , 2009, Sensors.

[27]  Andrei B. Utkin,et al.  Feasibility of forest-fire smoke detection using lidar , 2003 .

[28]  E. Krider,et al.  Lightning Direction-Finding Systems for Forest Fire Detection , 1980 .

[29]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[30]  J. Winkel,et al.  Infrared Measurements of Energy Release and Flame Temperatures of Forest Fires , 1998 .

[31]  Aníbal Ollero,et al.  Multiple eyes in the skies: architecture and perception issues in the COMETS unmanned air vehicles project , 2005, IEEE Robotics & Automation Magazine.

[32]  R. Landry,et al.  Remote sensing of burn severity: experience from western Canada boreal fires* , 2008 .

[33]  Doug Campbell,et al.  Airborne wildfire intelligence system: a decision support tool for wildland fire managers in Alberta , 2002, SPIE Defense + Commercial Sensing.

[34]  Yu Cui,et al.  An Early Fire Detection Method Based on Smoke Texture Analysis and Discrimination , 2008, 2008 Congress on Image and Signal Processing.

[35]  Begoña C. Arrue,et al.  Analysis of fire behaviour in Mediterranean shrubs: The Gestosa fire experiments (Portugal) , 2006 .

[36]  Timothy W. McLain,et al.  Cooperative forest fire surveillance using a team of small unmanned air vehicles , 2006, Int. J. Syst. Sci..

[37]  M. Finney FARSITE : Fire Area Simulator : model development and evaluation , 1998 .

[38]  Giovanni Bovio,et al.  Wildland-urban interface analyses for fire management planning , 2008 .

[39]  Anibal Ollero,et al.  AN INFRARED VISION SYSTEM FOR FIELD ROBOTICS APPLICATIONS , 2002 .

[40]  Majid Bagheri,et al.  Forest Fire Modeling and Early Detection using Wireless Sensor Networks , 2009, Ad Hoc Sens. Wirel. Networks.

[41]  Klamer Schutte,et al.  Autonomous Forest Fire Detection , 1998 .

[42]  Yrjö Rauste,et al.  Satellite-based forest fire detection for fire control in boreal forests , 1997 .

[43]  Jesus San-Miguel-Ayanz,et al.  Active Fire Detection for Fire Emergency Management: Potential and Limitations for the Operational Use of Remote Sensing , 2005 .

[44]  Begoña C. Arrue,et al.  Laboratory fire spread analysis using visual and infrared images , 2006 .

[45]  Aníbal Ollero,et al.  An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection , 2000, IEEE Intell. Syst..

[46]  T. H. Haar,et al.  Forest fire monitoring using NOAA satellite AVHRR , 1986 .

[47]  Mubarak Shah,et al.  Flame recognition in video , 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

[48]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[49]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[50]  Turker Ince,et al.  Early Forest Fire Detection Using Radio-Acoustic Sounding System , 2009, Sensors.