期刊
GISCIENCE & REMOTE SENSING
卷 49, 期 3, 页码 346-363出版社
BELLWETHER PUBL LTD
DOI: 10.2747/1548-1603.49.3.346
关键词
-
资金
- Alaska Division of Geologic and Geophysical Surveys (ADGGS)
- Alaska Space Grant Program (ASGP)
- Center for Global Change and Arctic System Research
- Office of Polar Programs (OPP)
- Directorate For Geosciences [1023623] Funding Source: National Science Foundation
A combination of binary logistic regression (BLR) and remote sensing techniques was used to generate a high-resolution spatially continuous near-surface (< 1.6 m) permafrost map. The BLR model was used to establish the relationship between vegetation type, aspect-slope, and permafrost presence; it predicted permafrost presence with an accuracy of 88%. Near-surface permafrost occupies 45% of the total vegetated area and 37% of the total study area. As less than 50% of the study area is underlain by near-surface permafrost, this distribution is characterized as sporadic for the study area.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据