首页    期刊浏览 2024年12月13日 星期五
登录注册

文章基本信息

  • 标题:HYPERSPECTRAL PREDICTION OF SOIL ORGANIC MATTER IN WINTER WHEAT FIELD BASED ON CONTINUUM-REMOVED METHOD
  • 本地全文:下载
  • 作者:Chao Wang ; Xingxing Qiao ; Zhuoya Liang
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2021
  • 卷号:30
  • 期号:7
  • 页码:7979-7986
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:In present study, the correlation relationship be- tween soil organic matter (SOM) and the raw spectra, as well as the continuum-removed (CR) spectra were analyzed and the partial least squares regression (PLSR) models of SOM based on two types of spec- tra were also established to improve the predictive accuracy and efficiency of soil organic matter (SOM) by using the spectroscopy technology. The results showed that there was a higher correlation coeffi- cient for the CR spectra than the raw spectra. More- over, the model performance for predicting the SOM based on the CR pre-treatment was superior to the raw spectra with R2-0.845. RMSE-0.253 and RPD-2.536. It implied that CR method could high- light the SOM spectral information and improve the predictive accuracy of SOM model. The study wouldsupply some methods and references for monitoringSOM and other soil attributes by using the hyper- spectral technology.
  • 关键词:Soil organic matter;hyperspectral;continuum-removed;model
国家哲学社会科学文献中心版权所有