scholarly journals Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment

2014 ◽  
Vol 6 (5) ◽  
pp. 4240-4265 ◽  
Author(s):  
Antonio Montealegre ◽  
María Lamelas ◽  
Mihai Tanase ◽  
Juan de la Riva
2021 ◽  
Vol 886 (1) ◽  
pp. 012107
Author(s):  
Lailan Syaufina ◽  
Imas Sukaesih Sitanggang ◽  
Fakhri Sukma Afina

Abstract Fire severity assessment plays a significant role in post-fire management, which relates to burned area recovery, economic valuation, and law enforcement. Although various fire severity assessments have been conducted in several burned areas in Indonesia, the standardized method seems limited. This study aims to define criteria and indicators for forest and land fire severity assessment based on systematic reviews using a text mining approach. Systematic reviews on peer-reviewed journal articles related to forest fire severity published in 2010-2021 from Google Scholar source was conducted using Publish or Perish application using keywords of forest fire, severity, criteria, indicator, vegetation, soil, wildlife, living trees, mortality, survival, a burned area, abundance with no citations nor patents included. The linkage among forest fire severity related terms was analyzed using the VOSviewer application, which is based on a text mining approach to identify the most common criteria and indicators for fire severity assessment. The study revealed that there are 991 articles published fits to the keywords, of which 269 articles close related to forest fire severity from 75 peer-reviewed journals. Text mining analyses resulted in 4 clusters of forest fire severity related terms. The criteria commonly used for forest fire severity assessment are vegetation and soil, while the options for indicators including diversity, abundance, forest structure, tree mortality, and burn depth. These criteria and indicators are recommended for formulating forest fire severity assessment standard methods in Indonesia.


2021 ◽  
Vol 13 (1) ◽  
pp. 432
Author(s):  
Aru Han ◽  
Song Qing ◽  
Yongbin Bao ◽  
Li Na ◽  
Yuhai Bao ◽  
...  

An important component in improving the quality of forests is to study the interference intensity of forest fires, in order to describe the intensity of the forest fire and the vegetation recovery, and to improve the monitoring ability of the dynamic change of the forest. Using a forest fire event in Bilahe, Inner Monglia in 2017 as a case study, this study extracted the burned area based on the BAIS2 index of Sentinel-2 data for 2016–2018. The leaf area index (LAI) and fractional vegetation cover (FVC), which are more suitable for monitoring vegetation dynamic changes of a burned area, were calculated by comparing the biophysical and spectral indices. The results showed that patterns of change of LAI and FVC of various land cover types were similar post-fire. The LAI and FVC of forest and grassland were high during the pre-fire and post-fire years. During the fire year, from the fire month (May) through the next 4 months (September), the order of areas of different fire severity in terms of values of LAI and FVC was: low > moderate > high severity. During the post fire year, LAI and FVC increased rapidly in areas of different fire severity, and the ranking of areas of different fire severity in terms of values LAI and FVC was consistent with the trend observed during the pre-fire year. The results of this study can improve the understanding of the mechanisms involved in post-fire vegetation change. By using quantitative inversion, the health trajectory of the ecosystem can be rapidly determined, and therefore this method can play an irreplaceable role in the realization of sustainable development in the study area. Therefore, it is of great scientific significance to quantitatively retrieve vegetation variables by remote sensing.


2017 ◽  
Vol 8 (1) ◽  
pp. 55-62
Author(s):  
Lailan Syaufina ◽  
Vera Linda Purba

Forest fire is one of the problem in forest management. The objectives of the study was to measure the forest fire severity based on soil physical and chemical properties. The forest fire effects were assessed using fire severity method and forest health monitoring plot. The study indicated that the burned areas at BKPH Parung Panjang after two years included in low fire severity. The site properties and growth performance analysis showed that the fire has only affected on pH, Mg and tree diameter significantly, whereas the other parameters such as bulk density, P, N, Na, K, Ca and height were not significantly affected. In addition, both burned and unburned areas are classified as in health condition.Key words : fire severity, forest health monitoring, growth performance, site properties


2020 ◽  
Vol 247 ◽  
pp. 111891 ◽  
Author(s):  
O. Viedma ◽  
F. Chico ◽  
J.J. Fernández ◽  
C. Madrigal ◽  
H.D. Safford ◽  
...  
Keyword(s):  

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