The spatial variation in forest burn severity in Heilongjiang Province, China

Yu Chang (), Zhiliang Zhu (), Yuting Feng (), Yuehui Li (), Rencang Bu () and Yuanman Hu ()

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 81, issue 2, 1001 pages

Abstract: Quantitative assessment of forest burn severity and determination of its spatial variation are important for post-fire forest restoration and forest fire management. In this paper, we assessed forest burn severity using pre- and post-fire Landsat TM/ETM + data and field-surveyed data and explored the spatial variation in burn severity and its influencing factors. Our results showed a relatively strong linear relationship between normalized burn ratio (NBR) and composite burn index (CBI) (R 2 = 0.63), suggesting that NBR was the best spectral index and could be used to assess forest burn severity in Heilongjiang Province. The forest burn severity showed obvious spatial variation. The majority of heavily burned areas were distributed within elevation greater than 800 m, with slope between 5° and 15°, with eastern and southern slopes, and in conifers. In addition, the forest burn severity also demonstrated a north-to-south gradient. The Great Xing’an Mountains located in the north of Heilongjiang Province tended to be burned with high severity, while the Small Xing’an Mountains located in the central part with lower severity. Topographic factors (elevation, slope, aspect) and daily mean humidity had determinative influences on forest burn severities. Copyright Springer Science+Business Media Dordrecht 2016

Keywords: Forest fire; Burn severity; Remote sensing; NBR; CBI; NDVI; dNBR; rdNBR; DCCA (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11069-015-2116-9

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