Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery

doi:10.1016/j.jhazmat.2023.130722

GIG OpenIR

	Sun, Yishan 1,2,3; Chen, Shuisen 1,2,3,4; Dai, Xuemei 1,2,3; Li, Dan 2; Jiang, Hao 2; Jia, Kai 2
	Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery
刊名	JOURNAL OF HAZARDOUS MATERIALS
ISSN号	0304-3894
	2023-03-15
卷号	446 页码:15
DOI	10.1016/j.jhazmat.2023.130722
语种	英语
WOS研究方向	Engineering ; Environmental Sciences & Ecology
摘要	Widespread soil contamination endangers public health and undermines global attempts to achieve the United Nations Sustainable Development Goals. Due to the lack of relevant studies and low precision of spaceborne spectroscopy, estimating soil heavy metal concentrations is challenging. In this study, we developed a coupled retrieval to qualify the heavy metal nickel (Ni) concentration in agricultural soil from spaceborne hyperspectral imagery. The retrieval couples spectral feature extraction from multi-scale discrete wavelet transform (DWT) and dimension reduction (DR), optimal band combination algorithm to five machine learning retrieval models using tree-based ensemble learning, neural network-based, and kernel-based. The comparison between the retrievals and Ni measurements shows that the DWT combined with t-distributed stochastic neighbor embedding (tSNE) coupled extreme gradient boosting (XGboost) retrieval model exhibited the best prediction for the validation dataset. Moreover, due to the integration of six statistical indicators of model performance and the fitted slope of the regression line, the retrieval framework can produce more robust and accurate predictions than those that rely on correlation coefficients. The demonstrated potential of spaceborne hyperspectral remote sensing to provide accurate quantitative measurements of soil heavy metal concentrations will serve as a reference for agricultural plot applications worldwide.
关键词	Hyperspectral satellite Soil Ni Spectral feature exaction Machine learning
WOS记录号	WOS:000922838400001
收录类别	SCI
引用统计	被引频次：41[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.gig.ac.cn/handle/344008/72609
专题	中国科学院广州地球化学研究所
通讯作者	Chen, Shuisen
作者单位	1.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China 2.Guangdong Open Lab Geospatial Informat Technol & A, Key Lab Guangdong Utilizat Remote Sensing & Geog I, Guangzhou 510070, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Shaoguan Shenwan Low Carbon Digital Technol Co Ltd, Shaoguan 512026, Peoples R China
推荐引用方式 GB/T 7714	Sun, Yishan,Chen, Shuisen,Dai, Xuemei,et al. Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery[J]. JOURNAL OF HAZARDOUS MATERIALS,2023,446:15.
APA	Sun, Yishan,Chen, Shuisen,Dai, Xuemei,Li, Dan,Jiang, Hao,&Jia, Kai.(2023).Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery.JOURNAL OF HAZARDOUS MATERIALS,446,15.
MLA	Sun, Yishan,et al."Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery".JOURNAL OF HAZARDOUS MATERIALS 446(2023):15.