Comparative regional-scale soil salinity assessment with near-ground apparent electrical conductivity and remote sensing canopy reflectance
作者: Elia ScudieroTodd H. SkaggsDennis L. Corwin
作者单位: 1USDA-ARS, United States Salinity Laboratory, 450 West Big Springs Rd., Riverside, CA 92507-4617, USA
刊名: Ecological Indicators, 2016, Vol.70 , pp.276-284
来源数据库: Elsevier Journal
DOI: 10.1016/j.ecolind.2016.06.015
关键词: Soil salinity mappingApparent soil electrical conductivitySpatial variabilityRemote sensingANOCOVA
原始语种摘要: Abstract(#br)Soil salinity is recognized worldwide as a major threat to agriculture, particularly in arid and semi-arid regions. Producers and decision makers need updated and accurate maps of salinity in agronomically and environmentally relevant ranges (i.e., <20dSm −1 , when salinity is measured as electrical conductivity of the saturation extract, EC e ). State-of-the-art approaches for creating accurate EC e maps beyond field scale (i.e., 1km 2 ) include: (i) Analysis Of Covariance (ANOCOVA) of near-ground measurements of apparent soil electrical conductivity (EC a ) and (ii) regression modeling of multi-year remote sensing canopy reflectance and other co-variates (e.g., crop type, annual rainfall). This study presents a...
全文获取路径: Elsevier  (合作)
影响因子:2.89 (2012)

  • regional 地方的
  • electrical 电的
  • sensing 感觉
  • conductivity 传导率
  • approach 
  • remote 遥控的
  • across 横过
  • reflectance 反射比
  • model 模型
  • apparent 外观上的