Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm
作者: Yongsheng HongLong GuoSongchao ChenMarc LindermanAbdul M. MouazenLei YuYiyun ChenYaolin LiuYanfang LiuHang ChengYi Liu
作者单位: 1School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2Department of Environment, Ghent University, Coupure Links 653, 9000 Gent, Belgium
3College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
4INRA, Unité InfoSol, 45075 Orléans, France
5UMR SAS, INRA, Agrocampus Ouest, 35042 Rennes, France
6Geographical and Sustainability Sciences, The University of Iowa, Iowa City, IA 52246, USA
7School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
8Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
9State Key Laboratory of Soil and Sustainable Agriculture, Chinese Academy of Sciences, Nanjing 210008, China
刊名: Geoderma, 2020, Vol.365
来源数据库: Elsevier Journal
DOI: 10.1016/j.geoderma.2020.114228
关键词: Airborne hyperspectral imageSoil organic carbonFractional-order derivativeOptimal band combination algorithmRandom forest
英文摘要: Abstract(#br)Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food production. This study aimed to explore the potential of airborne hyperspectral image to estimate the SOC of bare topsoil at an agricultural site located in the southeast part of Iowa State, United States. To magnify the subtle spectral signals concerning SOC, and accelerate calibration and improve predictive ability, we developed a framework to combine two advanced spectral algorithms, namely, fractional-order derivative (FOD) and optimal band combination algorithm for SOC predicting. Our case was based on 49 soil samples and a scattered airborne hyperspectral image. Random forest (RF) was utilized to establish SOC estimation models by incorporating the optimal spectral indices processed...
全文获取路径: Elsevier  (合作)
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影响因子:2.345 (2012)

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关键词翻译
关键词翻译
  •  土壤表层
  • derivative 衍生物
  • organic 有机的
  • carbon 
  • image 
  • fractional 分级的
  • topsoil 土壤表层
  • order 土壤表层
  • potential 
  • airborne 空运的
  • optimal 最佳的