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	An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing
	Wei, Lifei; Yuan, Ziran; Zhong, Yanfei; Yang, Lanfang; Hu, Xin; Zhang, Yangxi
刊名	APPLIED SCIENCES-BASEL
	2019
卷号	9期号:9
关键词	soil heavy metal pollution competitive adaptive reweighted sampling gradient boosting regression tree characteristic bands
DOI	10.3390/app9091943
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4263869
专题	武汉大学
推荐引用方式 GB/T 7714	Wei, Lifei,Yuan, Ziran,Zhong, Yanfei,et al. An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing[J]. APPLIED SCIENCES-BASEL,2019,9(9).
APA	Wei, Lifei,Yuan, Ziran,Zhong, Yanfei,Yang, Lanfang,Hu, Xin,&Zhang, Yangxi.(2019).An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing.APPLIED SCIENCES-BASEL,9(9).
MLA	Wei, Lifei,et al."An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing".APPLIED SCIENCES-BASEL 9.9(2019).

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