DocumentCode
1390236
Title
Spatial and Temporal Analysis of Fires Detected by MODIS Data in Northern Iran From 2001 to 2008
Author
Ardakani, Ali S. ; Zoej, Mohammad J Valadan ; Mohammadzadeh, Ali ; Mansourian, Ali
Author_Institution
K.N.Toosi Univ. of Technol., Tehran, Iran
Volume
4
Issue
1
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
216
Lastpage
225
Abstract
Fire, a natural disaster, has significant effects on ecosystems and plays a major role in deforestation, and it is a major source of trace gases, aerosols and carbon fluxes. Remote sensing is a valuable data source to investigate different phases of fire management. The Moderate Resolution Imaging Spectroradiometer (MODIS) has been designed to include specific characteristics for fire detection. It provides global coverage every 1 to 2 days. MODIS for forest fire monitoring has high detection accuracy, high radiometric resolution, moderate spatial resolution modes, and a high saturation level. Fires occur repeatedly in Iranian forests during the summer time. According to the Food and Agriculture Organization (FAO) reports, 0.06% of Iran´s forests burn every year. Fire season in the northern part of Iran is from May until the end of October. The results show that 86.21% of the fires detected by MODIS from 2001 to 2008 occurred in cropland, grass land and plain regions. Most of these fires occurred in the eastern regions of the Mazandaran Sea. A correlation of 0.76 exists between the fire frequency and the rainfall. Areas with precipitation lower than 1000 mm experienced 86.01% of the fires. Most of the fires occurred at elevations below 500 m from mean sea level (MSL). The fire frequency has a correlation of 0.58 with the average monthly Normalized Difference Vegetation Index (NDVI) values. Temporal analysis from 2001 to 2008 shows that most of the fires occurred in June.
Keywords
aerosols; fires; remote sensing; vegetation; AD 2001 to 2008; MODIS data; Moderate Resolution Imaging Spectroradiometer; Normalized Difference Vegetation Index; aerosol; carbon flux; cropland; deforestation; ecosystem; fire management; grass land; northern Iran; plain region; remote sensing; spatial analysis; temporal analysis; trace gas; Forest; MODIS image; remote sensing; wildfires;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2010.2088111
Filename
5648368
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