Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape
文献类型：期刊论文
| 作者 | Yang, Jian1; Fang, Lei2; Liu, Zhihua2; White, Megan1 |
| 刊名 | FORESTS
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：沈阳应用生态研究所
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