Post-fire vegetation recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - based on remote sensing information
تجدد الغطاء النباتي بعد الحريق في منطقة الوسيطة بالجبل الأخضر-يبي-بناء على معلومات الاستشعار عن بعد
Satellite-based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regen-eration.
Elwasita wildfire, which occurred during April and May in 2013 in Libya, was selected as a study site.
This study aims to monitor vegetation recovery and investigate the relationship between vegetation recovery and topographic factors by using multi-temporal spectral indices together with topographical factors.
Landsat 8 (OLI and TIRS) images from different data were obtained which were for four years; April 2013, June 2014, July 2015, and July 2016, to assess the related fire se-verity using the widely-used Normalized Burn Ratio (NBR).
Normalized difference Vegetation Index (NDVI) was used to determine vegetation regeneration dynamics for four consecutive years.
Also, the state of damage, vegetation recovery and, damage dimensions about the burned area were capable of being effectively detected using the result of supervised classification of Landsat satellite images.
In addition, aspect, slope, and altitude images derived from Digital Elevation Model (DEM) were used to determine the fire severity of the study area.
The results have found that it could be possible to figure out the degree of vegetation recovery by calculating the NDVI and NBR using Landsat 8 OLI and TIRS images.
Analysis showed that it mainly oriented towards the north-west (47%), north (29%), and northeast (12%).
The statistical analysis showed that fire was concen-trated on the incline by 76%, and the most affected areas are those between 200 m-450 m above sea level, with a percentage of 80%.
It is expected that the information can be acquired by various satel-lite data and digital forests.
This study serves as a window to an understanding of the process of fire severity and vegetation recovery that is vital in wildfire management systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Masud, Musa Jibril. 2021. Post-fire vegetation recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - based on remote sensing information. Al-Mukhtar Journal of Sciences،Vol. 36, no. 4, pp.288-299.
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Masud, Musa Jibril. Post-fire vegetation recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - based on remote sensing information. Al-Mukhtar Journal of Sciences Vol. 36, no. 4 (2021), pp.288-299.
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Masud, Musa Jibril. Post-fire vegetation recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - based on remote sensing information. Al-Mukhtar Journal of Sciences. 2021. Vol. 36, no. 4, pp.288-299.
Includes bibliographical references : p. 295-298
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي