An evaluation of remotely sensed indices for quantifying burn severity in arid ecoregions

被引:0
|
作者
Klinger, Rob [1 ]
McKinley, Randy [2 ]
Brooks, Matt [1 ]
机构
[1] US Geol Survey, Western Ecol Res Ctr, Yosemite Oakhurst Field Stn, 40298 Junct Dr,Suite A, Oakhurst, CA 93644 USA
[2] US Geol Survey, Earth Resources Observat Sci EROS Ctr, 47914 252nd St, Sioux Falls, SD 57198 USA
关键词
CBI; dNBR; deserts; disturbance; fire regimes; RdNBR; remote sensing; satellite data; FIRE SEVERITY; BOREAL FOREST; MOJAVE DESERT; SAGEBRUSH STEPPE; VEGETATION; LANDSCAPE; CALIFORNIA; INVASION; RATIO; MOUNTAINS;
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
It is sometimes assumed the sparse and low statured vegetation in arid systems would limit the effectiveness of two remote-sensing derived indices of burn severity: the difference Normalised Burn Ratio (dNBR) and relativised difference Normalised Burn Ratio (RdNBR). Wecompared the relationship that dNBR, RdNBR and a ground-based index of burn severity (the Composite Burn Index, CBI) had with woody cover and woody density 1 year after burning in five fires that occurred in the Mojave Desert during 2005. Data were collected within 437 plots spanning geographic and elevation gradients representative of vegetation associations in low- (,1200 m), mid- (1200 to 1700 m) and high-elevation (.1700 m) zones. Statistically, dNBR and RdNBR were both effective measures of severity in all three elevation zones; woody cover and density had steep exponential declines as the values of each remote-sensing index increased. We found though that dNBR was more ecologically interpretable than RdNBR and will likely be of most relevance in the Mojave Desert. It will be necessary though to test these, as well as other remote-sensing burn-severity indices, across more desert regions before inferences can be made of the generality of the patterns we observed.
引用
收藏
页码:951 / 968
页数:18
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