Burned area mapping system and fire detection system, based on neural networks and NOAA-AVHRR imagery

New automatic systems for mapping burned areas and for fire detection, based on neural networks, were developed. The Supervised ART-II artificial neural network was employed. These two newly developed systems were applied for mapping burned areas and for fire detection in the eastern part of Spain, which suffered damage during July 1994. Images from the National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA-AVHRR) were used. These systems were tested using different sizes of training sets and different dynamic parameters. The data description and methodology are discussed. The full algorithm is listed.

[1]  E. Kasischke,et al.  Locating and estimating the areal extent of wildfires in alaskan boreal forests using multiple-season AVHRR NDVI composite data , 1995 .

[2]  Gail A. Carpenter,et al.  ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data , 1997, IEEE Trans. Geosci. Remote. Sens..

[3]  B. Holben,et al.  Calibration of the AVHRR visible and near-IR bands by atmospheric scattering, ocean glint and desert reflection , 1993 .

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

[5]  M. Matson,et al.  Fire detection using data from the NOAA-N satellites , 1987 .

[6]  Thomas F. Lee,et al.  Improved Detection of Hotspots using the AVHRR 3.7-um Channel , 1990 .

[7]  Kamal R. Al-Rawi,et al.  Supervised ART-I: A New Neural Network Architecture for Learning and Classifying Multi-valued Input Patterns , 1999, IWANN.

[8]  Abel Calle,et al.  A navigation algorithm for satellite images , 1996 .

[9]  Mark W. Patterson,et al.  Mapping Fire-Induced Vegetation Mortality Using Landsat Thematic Mapper Data: A Comparison of Linear Transformation Techniques , 1998 .

[10]  C. Justice,et al.  Evaluation of global fire detection algorithms using simulated AVHRR infrared data , 1999 .

[11]  Susan L. Ustin,et al.  Monitoring of wildfires in boreal forests using large area AVHRR NDVI composite image data , 1993 .

[12]  D. Roy.  Multi-temporal active-fire based burn scar detection algorithm , 1999 .

[13]  K. Clarke,et al.  A Cellular Automaton Model of Wildfire Propagation and Extinction , 1994 .

[14]  S. Langaas.  Temporal and Spatial Distribution of Savanna Fires in Senegal and The Gambia, West Africa, 1989-90, Derived from Multi-temporal AVHRR Night Images , 1992 .

[15]  A. Setzer,et al.  Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia , 1993 .

[16]  M. Mbaye,et al.  NOAA-AVHRR and GIS-Based Monitoring of Fire Activity in Senegal — a Provisional Methodology and Potential Applications , 1990 .

[17]  P. Deschamps,et al.  Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code , 1990 .

[18]  Joel S. Levine,et al.  Satellite analysis of the severe 1987 forest fires in northern China and southeastern Siberia , 1994 .

[19]  Pietro Ceccato,et al.  A contextual algorithm for AVHRR fire detection , 1996 .

[20]  Emilio Chuvieco,et al.  A simple method for Are growth mapping using AVHRR channel 3 data , 1994 .

[21]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[22]  S. Running,et al.  Remote Sensing of Forest Fire Severity and Vegetation Recovery , 1996 .

[23]  A. Fernández,et al.  Automatic mapping of surfaces affected by forest fires in Spain using AVHRR NDVI composite image data , 1997 .

[24]  D. Pozo.  Fire detection and growth monitoring using a multitemporal technique on AVHRR mid-infrared and thermal channels , 1997 .

[25]  Arthur P. Cracknell,et al.  Straw burning over Great Britain detected by AVHRR , 1985 .