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Advancing wildfire monitoring: remote sensing techniques and applications in the Sana River Basin, Bosnia and Herzegovina

Sabljić, Luka ; Perić, Zoran LU orcid ; Bajić, Davorin ; Marković, Slobodan B. ; Adžić, Dragutin and Lukić, Tin (2025) In Natural Hazards 121(15). p.18321-18360
Abstract
The subject of this research is the application of remote sensing and geographic information systems (GIS) in identifying, monitoring, and analyzing wildfires in the Sana River basin in Bosnia and Herzegovina in 2017. The research aims to determine the weather conditions that favor the occurrence of wildfires and their spatial impact on vegetation and to assess the degree of land degradation after the wildfires. Through the calculation of the Standardized Precipitation-Evapotranspiration Index (SPEI), critical dry periods with significantly negative values were identified in July (− 1.60) and August (− 1.94), indicating severe droughts with a high hazard of wildfire occurrence. Additionally, the calculation of the Angstrom index identified... (More)
The subject of this research is the application of remote sensing and geographic information systems (GIS) in identifying, monitoring, and analyzing wildfires in the Sana River basin in Bosnia and Herzegovina in 2017. The research aims to determine the weather conditions that favor the occurrence of wildfires and their spatial impact on vegetation and to assess the degree of land degradation after the wildfires. Through the calculation of the Standardized Precipitation-Evapotranspiration Index (SPEI), critical dry periods with significantly negative values were identified in July (− 1.60) and August (− 1.94), indicating severe droughts with a high hazard of wildfire occurrence. Additionally, the calculation of the Angstrom index identified a period of high wildfire hazard (from July 5 to August 5, 2017). Vegetation condition monitoring and burn severity during the high-hazard period were assessed by calculating the differenced Normalized Difference Vegetation Index (dNDVI) and the differenced Normalized Burn Ratio (dNBR). By intersecting dNDVI and dNBR with the results of the supervised classification, the impact of wildfires on different land use types was effectively assessed. It was determined that a total of 214.61 km2 (dNDVI) and 168.77 km2 (dNBR) of meadows and pastures, 270.45 km2 (dNDVI) and 35.2 km2 (dNBR) of forested areas, and 30.12 km2 (dNDVI) and 17.95 km2 (dNBR) agriculture areas where exposed to moderate, high, and very high wildfires. Additionally, a total of 19,077 residents were affected by the wildfires. The research results highlight the need to develop and implement more effective prevention and hazard management strategies, particularly in protecting the study area’s forest ecosystems and agriculture. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Natural Hazards
volume
121
issue
15
pages
18321 - 18360
publisher
Springer Science and Business Media B.V.
external identifiers
  • scopus:105010766992
ISSN
0921-030X
DOI
10.1007/s11069-025-07518-3
language
English
LU publication?
yes
id
e276b7be-9514-4928-8336-2452e23a24f0
date added to LUP
2025-08-21 10:42:33
date last changed
2025-09-25 15:12:24
@article{e276b7be-9514-4928-8336-2452e23a24f0,
  abstract     = {{The subject of this research is the application of remote sensing and geographic information systems (GIS) in identifying, monitoring, and analyzing wildfires in the Sana River basin in Bosnia and Herzegovina in 2017. The research aims to determine the weather conditions that favor the occurrence of wildfires and their spatial impact on vegetation and to assess the degree of land degradation after the wildfires. Through the calculation of the Standardized Precipitation-Evapotranspiration Index (SPEI), critical dry periods with significantly negative values were identified in July (− 1.60) and August (− 1.94), indicating severe droughts with a high hazard of wildfire occurrence. Additionally, the calculation of the Angstrom index identified a period of high wildfire hazard (from July 5 to August 5, 2017). Vegetation condition monitoring and burn severity during the high-hazard period were assessed by calculating the differenced Normalized Difference Vegetation Index (dNDVI) and the differenced Normalized Burn Ratio (dNBR). By intersecting dNDVI and dNBR with the results of the supervised classification, the impact of wildfires on different land use types was effectively assessed. It was determined that a total of 214.61 km2 (dNDVI) and 168.77 km2 (dNBR) of meadows and pastures, 270.45 km2 (dNDVI) and 35.2 km2 (dNBR) of forested areas, and 30.12 km2 (dNDVI) and 17.95 km2 (dNBR) agriculture areas where exposed to moderate, high, and very high wildfires. Additionally, a total of 19,077 residents were affected by the wildfires. The research results highlight the need to develop and implement more effective prevention and hazard management strategies, particularly in protecting the study area’s forest ecosystems and agriculture.}},
  author       = {{Sabljić, Luka and Perić, Zoran and Bajić, Davorin and Marković, Slobodan B. and Adžić, Dragutin and Lukić, Tin}},
  issn         = {{0921-030X}},
  language     = {{eng}},
  month        = {{07}},
  number       = {{15}},
  pages        = {{18321--18360}},
  publisher    = {{Springer Science and Business Media B.V.}},
  series       = {{Natural Hazards}},
  title        = {{Advancing wildfire monitoring: remote sensing techniques and applications in the Sana River Basin, Bosnia and Herzegovina}},
  url          = {{http://dx.doi.org/10.1007/s11069-025-07518-3}},
  doi          = {{10.1007/s11069-025-07518-3}},
  volume       = {{121}},
  year         = {{2025}},
}