中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Retrieval Method for Estimating Snow Depth Using Hyperspectral Data in Snowmelt Period

文献类型:SCI/SSCI论文

作者Xu Q. ; Liu Z. H. ; Fang S. F.
发表日期2013
关键词Hyperspectral Melt period Snow depth ANN-BP cover
英文摘要The snow surface reflectance spectra with different depth in snowmelt period and snow depth data were measured and its correlation was analyzed. The characteristic absorption band data of the valley with higher correlation were used to establish a single band snow depth regression model. The highest contribution rate of the band was selected as the input variable of the neural network model to retrieve snow depth. The results show that in Juntang Lake area, near 1 022, 1 241 and 1 492 nm exists characteristic absorption valley of snow, and compared to estimation accuracy of the single-band inversion of snow depth model (R-2=0. 53), ANN-BP model has a higher inversion level, and determination coefficient (R-2 = 0. 86, RMSE = 0. 67) was obtained with 4 nodes in hidden layers, indicating that ANN-BP model can greatly improve the ability of inversion of snow depth with hyperspectral data.
出处Spectroscopy and Spectral Analysis
33
7
1927-1931
收录类别SCI
语种英语
ISSN号1000-0593
源URL[http://ir.igsnrr.ac.cn/handle/311030/30134]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Xu Q.,Liu Z. H.,Fang S. F.. Retrieval Method for Estimating Snow Depth Using Hyperspectral Data in Snowmelt Period. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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