Research Article Open Access

The Effect of Needle-Leaved Species in Increasing the Risk of Fire by Using Remote Sensing, Case Study: Forests of Golestan, Iran

Akram Karimi1, Sara Abdollahi2, Hamid Reza Kabiri Balajadeh3, Kaveh Ostad-Ali-Askari3 and Vijay P. Singh4
  • 1 Karaj Environmental Faculty, Iran
  • 2 Yazd University, Iran
  • 3 Islamic Azad University, Iran
  • 4 Texas A and M University, United States
American Journal of Engineering and Applied Sciences
Volume 11 No. 1, 2018, 379-386

DOI: https://doi.org/10.3844/ajeassp.2018.379.386

Submitted On: 23 February 2018 Published On: 30 March 2018

How to Cite: Karimi, A., Abdollahi, S., Kabiri Balajadeh, H. R., Ostad-Ali-Askari, K. & Singh, V. P. (2018). The Effect of Needle-Leaved Species in Increasing the Risk of Fire by Using Remote Sensing, Case Study: Forests of Golestan, Iran. American Journal of Engineering and Applied Sciences, 11(1), 379-386. https://doi.org/10.3844/ajeassp.2018.379.386

Abstract

The present research was conducted to determine the sensitivity of needle-leaved species compared to broad-leaved in causing a natural fire in Golestan province. Vegetation and moisture stresses of plants were studied in both needle and mixed leaved forest the fire occurred in 2010-2014. In order to examine the normal condition of each indicator, the time series was produced from 2000 to 2015. The threshold of the applied indicators was determined using its long-term normal. The threshold value was determined as an average of 15 days before the fire, as well as on the day before the fire. The results showed that the amount of dry matter increased in the affected areas and the plants were exposed to moisture stress. Among the indicators used in this study, GVMI shows more sensitivity to fire rather than other indicators with a higher nominal frequency. In the broadleaf forest of (1.803) and in the forest forests (1.63), there is a decrease compared to the time series. Generally, these needle-leaved species have a lower tolerance to moisture stress than the broadleaf.

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Keywords

  • Broad Leaved
  • Fire
  • Needle Leaved
  • MODIS Satellite
  • Moisture Stress Index