Evaluation of the MODIS Fire-Detection Product in Neka-Zalemroud Fire-Prone Forests in Northern Iran
Saeedeh Eskandari1, Jafar Oladi Ghadikolaei1, Hamid Jalilvand1, Mohammad Reza Saradjian2
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1Forestry Department, Sari Agricultural Sciences and Natural Resources University,
10th kilometer Sea Road, Sari, Iran
2Remote Sensing Division, Surveying Engineering Department, College of Engineering, University of Tehran,
Tehran, Iran
Pol. J. Environ. Stud. 2015;24(5):2305-2308
The timely detection of forest fires using proper satellite imagery is necessary to prevent the spread of fires. The aim of this study is to detect active fires (fire pixels) in District Three of Neka Zalemroud forests using the MODIS fire-detection sensor. One fire in District Three of Neka Zalemroud Forests started in December 2010 and lasted to January 2011. The MODIS fire product was prepared from the given area within 30 days. Then, HDF view software was used to detect the active fire areas. Thus, fire products were imported to the HDF view software and the positions (e.g. latitude and longitude) of fire pixels were detected. The location of the fire pixels was identified using GIS. The necessary maps were prepared in GIS. Then, the accuracy of the MODIS fire product was examined using the reference data from 2010 to 2011. Results show that MODIS fire products could successfully detect and identify the three active fire areas in the study area. In addition, there isn’t any false alarm of fire detection when using MODIS as it indicates the desired accuracy of the MODIS fire product in identification and detection of active fires.
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