Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape

	Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape
	Yang, Jian 1; Fang, Lei 2; Liu, Zhihua 2; White, Megan 1
刊名	FORESTS
	2018-03-01
期号	3
关键词	fire severity surface moisture remote sensing spatial controls boreal forest Great Xing'an Mountains
WOS记录号	WOS:000428508200033
内容类型	期刊论文
源URL	[http://210.72.129.5/handle/321005/109165]
专题	沈阳应用生态研究所_沈阳应用生态研究所_期刊论文
作者单位	1.Univ Kentucky, Dept Forestry & Nat Resources, TP Cooper Bldg, Lexington, KY 40546 USA 2.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Yang, Jian,Fang, Lei,Liu, Zhihua,et al. Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape[J]. FORESTS,2018(3).
APA	Yang, Jian,Fang, Lei,Liu, Zhihua,&White, Megan.(2018).Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape.FORESTS(3).
MLA	Yang, Jian,et al."Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape".FORESTS .3(2018).