Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest
表土有机碳估算与制图的实验室和机载高光谱数据对比:耦合随机森林的特征选择
作者: Yongsheng HongSongchao ChenYiyun ChenMarc LindermanAbdul M. MouazenYaolin LiuLong GuoLei YuYanfang 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
3INRA, Unité InfoSol, 45075, Orléans, France
4UMR SAS, INRA, Agrocampus Ouest, 35042, Rennes, France
5State Key Laboratory of Soil and Sustainable Agriculture, Chinese Academy of Sciences, Nanjing, 210008, China
6Geographical and Sustainability Sciences, The University of Iowa, Iowa City, IA, 52246, USA
7College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China
8School of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China
9Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, 430079, China
10School of Public Administration, Guangdong University Of Finance & Economics, Guangzhou 510320, China
刊名: Soil & Tillage Research, 2020, Vol.199
来源数据库: Elsevier Journal
DOI: 10.1016/j.still.2020.104589
关键词: Airborne hyperspectral imageryTopsoil organic carbonFeature selectionDigital soil mappingPrediction uncertainty
原始语种摘要: Abstract(#br)Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for further understanding of the global carbon cycle and sustainable management of soil resources. Proximal visible and near-infrared (Vis–NIR) spectroscopy is an effective approach to analyze SOC. However, this technique can only be used for point-to-point monitoring and not for grid pixels evenly spread throughout the area. Airborne hyperspectral imagery with high-spectral- and spatial-resolution provides a promising tool for mapping topsoil SOC at a fine scale, but suffers from the interference of some external factors. Using 45 topsoil samples collected from an agricultural field in the United States, this study aimed to compare the potential of airborne hyperspectral image in estimating...
全文获取路径: Elsevier  (合作)
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影响因子:2.367 (2012)

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关键词翻译
关键词翻译
  • selection 选择
  • airborne 空运的
  • laboratory 实验室
  • topsoil 土壤表层
  • carbon 
  • uncertainty 不定
  • mapping 映象
  • methodological 方法论的
  • monitoring 监视
  • spectral 谱的