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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) (R2 = 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...
Categories: Publication;
Types: Journal Citation;
Tags: Burn severity,
CBI,
China,
DCCA,
Fire, All tags...
Forest fire,
Heilongjiang Province,
NBR,
NDVI,
Remote sensing,
dNBR,
rdNBR, Fewer tags
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