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  • 标题:Study on Hyperspectral Characteristics and Content Estimation of Soil Iron Oxide
  • 本地全文:下载
  • 作者:Jinbao Liu ; Zenghui Sun
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:300
  • 期号:2
  • 页码:1-6
  • DOI:10.1088/1755-1315/300/2/022147
  • 出版社:IOP Publishing
  • 摘要:The iron oxide in the soil comes from the re-deposition of the weathering products of the parent material. It can be divided into free iron oxide (Fed) and amorphous iron oxide (FeO) according to chemical methods. The content of iron oxide in soil can be used as the soil type in soil system classification. Diagnostic indicators are considered to be a function of soil development and development. Although the traditional method for measuring iron oxide in soil has high precision, it is time-consuming and laborious, and it is impossible to obtain real-time monitoring data of soil physical and chemical properties in time. Hyperspectral remote sensing technology can quickly obtain the spectral information of soil by using hyperspectral instrument, combine the chemical data measured indoors with the physical model to establish the relationship between soil properties, realize the quantitative estimation of soil information, and have the tradition of rapid and current situation. The unparalleled advantages of soil iron oxide measurement methods provide broad application prospects for understanding soil iron oxide spectral information and its content prediction.
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