Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information
Satellite-based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. Elwasita wildfire, which occurred during April and May in 2013 in Libya, was selected as a study site. This st...
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| Format: | Article |
| Language: | English |
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Omar Al-Mukhtar University
2021-12-01
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| Series: | مجلة المختار للعلوم |
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| Online Access: | https://omu.edu.ly/journals/index.php/mjsc/article/view/588 |
| _version_ | 1797698207515410432 |
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| author | Moussa Masoud |
| author_facet | Moussa Masoud |
| author_sort | Moussa Masoud |
| collection | DOAJ |
| description |
Satellite-based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. 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 severity 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 northwest (47%), north (29%), and northeast (12%). The statistical analysis showed that fire was concentrated 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 satellite 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.
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| first_indexed | 2024-03-12T03:50:55Z |
| format | Article |
| id | doaj.art-c5d1f63bb43946808904e3ece3d6584e |
| institution | Directory Open Access Journal |
| issn | 2617-2178 2617-2186 |
| language | English |
| last_indexed | 2024-03-12T03:50:55Z |
| publishDate | 2021-12-01 |
| publisher | Omar Al-Mukhtar University |
| record_format | Article |
| series | مجلة المختار للعلوم |
| spelling | doaj.art-c5d1f63bb43946808904e3ece3d6584e2023-09-03T12:21:56ZengOmar Al-Mukhtar Universityمجلة المختار للعلوم2617-21782617-21862021-12-0136410.54172/mjsc.v36i4.588Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing InformationMoussa Masoud0Department of Forestry and Rangeland, Faculty of Natural Resources and Environmental Sciences, Omar Al-Mukhtar University, Al Bayada, Libya. Satellite-based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. 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 severity 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 northwest (47%), north (29%), and northeast (12%). The statistical analysis showed that fire was concentrated 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 satellite 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. https://omu.edu.ly/journals/index.php/mjsc/article/view/588GISNDVINBRSatellite images |
| spellingShingle | Moussa Masoud Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information مجلة المختار للعلوم GIS NDVI NBR Satellite images |
| title | Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information |
| title_full | Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information |
| title_fullStr | Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information |
| title_full_unstemmed | Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information |
| title_short | Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information |
| title_sort | post fire vegetation recovery in elwasita area of al jabal al akhdar libya based on remote sensing information |
| topic | GIS NDVI NBR Satellite images |
| url | https://omu.edu.ly/journals/index.php/mjsc/article/view/588 |
| work_keys_str_mv | AT moussamasoud postfirevegetationrecoveryinelwasitaareaofaljabalalakhdarlibyabasedonremotesensinginformation |