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土壤有机质可见-近红外反射光谱特性研究

王世芳 宋海燕

中国农业科技导报2024,Vol.26Issue(7):183-188,6.
中国农业科技导报2024,Vol.26Issue(7):183-188,6.DOI:10.13304/j.nykjdb.2023.0309

土壤有机质可见-近红外反射光谱特性研究

Study on Characteristics of Visible and Near Infrared Reflectance Spectra of Soil Organic Matter

王世芳 1宋海燕2

作者信息

  • 1. 北京市农林科学院质量标准与检测技术研究所,北京 100097
  • 2. 山西农业大学农业工程学院,山西 太谷 030801
  • 折叠

摘要

Abstract

To optimize the calculation speed of the soil organic matter(SOM)content prediction model,50 soil samples were used to extract and screen the characteristic spectral bands of SOM by using Pearson correlation coefficient analysis method.The results showed that the reflectance spectra of the soil was strongly negatively correlated with SOM content in the range of 555~662 nm,with a characteristic band at 601 nm.After different preprocessing methods,the reflectance spectra of soil and SOM content showed a strong correlation,and the characteristic bands increased,mainly around 601,1 221,1 410,1 665,1 880,2 110 and 2 200 nm.By analyzing the Pearson correlation curves between the reflectance spectra at different soil moisture levels and SOM content,the characteristic bands were observed around 601,1 450,1 930 and 2 200 nm.With an increase in soil moisture content,the correlation of the characteristic band at 601 nm gradually weakened,while the correlation of the moisture-related characteristic bands at 1 450,1 930 and 2 200 nm increased.When the soil moisture content exceeded 10%,the reflectance spectra of soil and SOM content showed a positive correlation.The identified characteristic bands of SOM and soil moisture provided theoretical support for the development of a rapid detection model for SOM.

关键词

土壤有机质/可见-近红外反射光谱/Pearson相关系数/土壤水分

Key words

soil organic matter/visible-near infrared reflectance spectroscopy/Pearson correlation coefficient/soil moisture

分类

资源环境

引用本文复制引用

王世芳,宋海燕..土壤有机质可见-近红外反射光谱特性研究[J].中国农业科技导报,2024,26(7):183-188,6.

基金项目

国家重点研发计划项目(2021YFD1600602-09) (2021YFD1600602-09)

北京市农林科学院科技创新能力建设专项项目(KJCX20230309,KJCX20230817). (KJCX20230309,KJCX20230817)

中国农业科技导报

OA北大核心CSTPCD

1008-0864

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