Prediction of soil organic carbon with different parent materials development using visible-near infrared spectroscopy
作者: Jinbao LiuJichang HanYang ZhangHuanyuan WangHui KongLei Shi
作者单位: 1Shaanxi Provincial Land Engineering Construction Group, Xi'an 710075, China
2Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Land and Resources, Xi'an 710075, China
3Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group, Xi'an 710075, China
4Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an 710075, China
刊名: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, Vol.204 , pp.33-39
来源数据库: Elsevier Journal
DOI: 10.1016/j.saa.2018.06.018
关键词: BasaltTrachyteSoil organic carbonDeviationHyperspectral prediction model
英文摘要: Abstract(#br)The storage of soil organic carbon (SOC) should improve soil fertility. Conventional determination of SOC is expensive and tedious. Visible-near infrared reflectance spectroscopy is a practical and cost-effective approach that has been successfully used SOC concentration. Soil spectral inversion model could quickly and efficiently determine SOC content. This paper presents a study dealing with SOC estimation through the combination of soil spectroscopy and stepwise multiple linear regression (SMLR), partial least squares regression (PLSR), principal component regression (PCR). Spectral measurements for 106 soil samples were acquired using an ASD FieldSpec 4 standard-res spectroradiometer (350–2500 nm). Six types of transformations and three regression methods were applied to...
全文获取路径: Elsevier  (合作)

  • carbon 
  • organic 有机的
  • visible 看得见的
  • parent 母体
  • prediction 预报
  • development 开发
  • spectroscopy 分光学
  • different 不相同的
  • materials 工业三废
  • infrared 红外线