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FEASIBILITY OF ESTIMATING HEAVY METAL CONCENTRATIONS IN WETLAND SOIL USING HYPERSPECTRAL TECHNOLOGY  ( CPCI-S收录 EI收录)  

文献类型:会议论文

英文题名:FEASIBILITY OF ESTIMATING HEAVY METAL CONCENTRATIONS IN WETLAND SOIL USING HYPERSPECTRAL TECHNOLOGY

作者:Gao, Yin[1,2] Wu, Guofeng[3,4,5] Wang, Faliang[2] Li, Wei[1] Lei, Yinru[1] Sun, Baodi[1] Cui, Lijuan[1]

第一作者:高莹;Gao, Yin

通信作者:Cui, LJ[1]

机构:[1]Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;[2]Natl Geomat Ctr China, Beijing 100830, Peoples R China;[3]Shenzhen Univ, Natl Adm Surveying Mapping & GeoInformat, Key Lab Geoenvironm Monitoring Coastal Zone, Shenzhen 518060, Peoples R China;[4]Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China;[5]Shenzhen Univ, Coll Life Sci, Shenzhen 518060, Peoples R China

会议论文集:IEEE International Geoscience & Remote Sensing Symposium

会议日期:JUL 23-28, 2017

会议地点:Fort Worth, TX

语种:英文

外文关键词:Heavy metal concentrations; wetland soil; hyperspectral technology; partial least squares regression; support vector machine regression

年份:2017

摘要:Heavy metals that are present in soil are poisonous to both plants and animals. Measuring the heavy metal concentrations in wetland soil are of great significance for the assessment of wetland ecosystem health. This study was conducted in the Taihu Lake wetland region of China, and is aimed at comparing the partial least squares regression (PLSR) as well as support vector machine regression (SVMR) methods for estimating the zinc (Zn), arsenic (As) and copper (Cu) concentrations present in wetland soil utilizing hyperspectral technology. In total, there were 100 homogeneous wetland soil samples collected, and their Zn, As and Cu concentration models were developed based on laboratory-based hyperspectral data (350-2500 nm). According to independent validation, the SVMR method achieved better accuracies, which had determination coefficients of 0.61, 0.66 and 0.72 for Zn, As and Cu, respectively. It was concluded that the SVMR method combined with laboratory-based hyperspectral data has the cumulative potential to estimate heavy metal concentrations within homogeneous wetland soil.

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