干旱区生态环境知识资源中心(Arid): Snow depth retrieval from passive microwave imagery using different artificial neural networks

Arid

DOI	10.1007/s12517-020-05642-x
	Snow depth retrieval from passive microwave imagery using different artificial neural networks
	Zaerpour, Arash; Adib, Arash; Motamedi, Ali
通讯作者	Adib, A
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2020
卷号	13 期号:15
英文摘要	The high degree of nonlinearity in the analysis of hydrologic systems demonstrates that artificial neural networks are suitable methods for this purpose. Artificial neural networks and passive microwave imagery have been combined for monitoring snow parameters, particularly in arid and semi-arid areas where the hydrologic process of the water basin is very dependent on the snow conditions (snow depth, snow water equivalent, snow density, snow cover area, snow stratigraphy, the shape of the crystals of snow). The multilayer perceptron is learned by different methods (Levenberg-Marquardt, scaled conjugate gradient, gradient descent with momentum and adaptive learning rate). These multilayer perceptrons are compared with radial basis function and multilayer perceptron-genetic algorithm for evaluating snow depth. Snow depth is estimated using passive microwave brightness temperature of a special sensor microwave/imager sensor. The results indicate that multilayer perceptron-genetic algorithm outperformed other artificial neural networks (multilayer perceptron-Levenberg-Marquardt, multilayer perceptron-scaled conjugate gradient, multilayer perceptron-gradient descent with momentum and adaptive learning rate, multilayer perceptron-genetic algorithm and radial basis function) with r = 0.97, RMSE = 0.18, and NSE = 0.83 for training and r = 0.90, RMSE = 0.19, and NSE = 0.39 for testing.
英文关键词	Artificial neural networks Genetic algorithms Passive microwave Brightness temperature Special sensor microwave imager
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000552403600005
WOS关键词	WATER STORAGE ; ALGORITHM ; ASSIMILATION ; MODELS
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325211
作者单位	[Zaerpour, Arash; Adib, Arash] Shahid Chamran Univ Ahvaz, Engn Fac, Civil Engn Dept, Ahwaz, Iran; [Motamedi, Ali] Khuzestan Water & Power Author KWPA, Ahwaz, Iran
推荐引用方式 GB/T 7714	Zaerpour, Arash,Adib, Arash,Motamedi, Ali. Snow depth retrieval from passive microwave imagery using different artificial neural networks[J],2020,13(15).
APA	Zaerpour, Arash,Adib, Arash,&Motamedi, Ali.(2020).Snow depth retrieval from passive microwave imagery using different artificial neural networks.ARABIAN JOURNAL OF GEOSCIENCES,13(15).
MLA	Zaerpour, Arash,et al."Snow depth retrieval from passive microwave imagery using different artificial neural networks".ARABIAN JOURNAL OF GEOSCIENCES 13.15(2020).