Spatial interpolation quality assessment for soil sensor transect datasets
作者: Elia ScudieroDennis L. CorwinFrancesco MorariRay G. AndersonTodd H. Skaggs
作者单位: 1USDA-ARS, United States Salinity Laboratory, 450 West Big Springs Rd., Riverside, CA 92507-4617, USA 1
2Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell’Università 16, Legnaro 35020, Italy
刊名: Computers and Electronics in Agriculture, 2016, Vol.123 , pp.74-79
来源数据库: Elsevier Journal
DOI: 10.1016/j.compag.2016.02.016
关键词: Apparent electrical conductivitySpatial interpolationNDVIOn-the-go sensorsRH-block resampling
原始语种摘要: Abstract(#br)Near-ground geophysical soil sensors provide valuable information for precision agriculture applications. Indeed, their readings can be used as proxy for many soil parameters. On-the-go soil sensor surveys are, typically, carried out intensively (e.g., every 2m) over many parallel transects. Two types of soil sensors measurements are considered in this paper: apparent electrical conductivity (4 fields in California, USA) and reflectance (1 field in Italy). Two types of spatial interpolations are carried out, universal kriging (model-based) and inverse distance weighting (deterministic). Interpolation quality assessment is usually carried out using leave-one-out ( loo ) resampling. We show that loo resampling on transect sampling datasets returns...
全文获取路径: Elsevier  (合作)
影响因子:1.766 (2012)

  • interpolation 内插法
  • resampling 再抽样
  • conductivity 传导率
  • sensor 感受器
  • block 滑车
  • transect 横切
  • assessment 评价
  • electrical 电的
  • quality 品质