Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques
作者: Said NawarAbdul M. Mouazen
作者单位: 1Cranfield Soil and AgriFood Institute, School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK
2Department of Soil Management, Ghent University, Coupure 653, 9000 Gent, Belgium
刊名: Catena, 2017, Vol.151 , pp.118-129
来源数据库: Elsevier Journal
DOI: 10.1016/j.catena.2016.12.014
关键词: Diffuse reflectance spectroscopySpectral librarySoil propertiesData miningSpiking
英文摘要: Abstract(#br)The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration models for selected soil properties based on mobile measurements is essential for site specific soil management at fine sampling scale. The objective of the present study was to compare the mobile and laboratory prediction performance of vis-NIR spectroscopy for total nitrogen (TN), total carbon (TC) and soil moisture content (MC) of field soil samples based on single field (SFD), two-field dataset (TFD), UK national dataset (UND) and European continental dataset (ECD) calibration models developed with linear and nonlinear data mining techniques including spiking. Fresh soil samples collected from fields in the UK, Czech Republic, Germany, Denmark and the Netherlands were scanned with a...
全文获取路径: Elsevier  (合作)
影响因子:1.881 (2012)

  • mining 矿业
  • scales 天平
  • properties 道具
  • spectroscopy 分光学
  • mobile 可动的
  • library 图书馆
  • infrared 红外线
  • Data 数据
  • different 不相同的
  • geographical 地理的