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  • 标题:Mapping soil organic carbon under erosion processes using remote sensing
  • 本地全文:下载
  • 作者:Azamat SULEYMANOV ; Ilyusya GABBASOVA ; Ruslan SULEYMANOV
  • 期刊名称:Hungarian Geographical Bulletin
  • 印刷版ISSN:2064-5031
  • 电子版ISSN:2064-5147
  • 出版年度:2021
  • 卷号:70
  • 期号:1
  • 页码:49-64
  • DOI:10.15201/hungeobull.70.1.4
  • 语种:English
  • 出版社:Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences
  • 摘要:This study aimed to map soil organic carbon under erosion processes on an arable feld in the Republic of Bashkortostan (Russia). To estimate the spatial distribution of organic carbon in the Haplic Chernozem topsoil, we applied Sentinel-2A satellite data and the linear regression method. We used 13 satellite bands and 15 calculated spectral indices for regression modelling. A regression model with an average prediction level has been created (R2 = 0.58, RMSE = 0.56, RPD = 1.61). Based on the regression model, cartographic materials for organic carbon content have been created. Water flows and erosion processes were determined using the calculated Flow Accumulation model. The relationship between organic carbon, biological activity, and erosion conditions is shown. The 13C-NMR spectroscopy method was used to estimate the content and nature of humic substances of different soil samples. Based on the 13C-NMR analysis, a correlation was established with the spectral reflectivity of eroded and non-eroded soils. It was revealed that the effect of soil organic carbon on spectral reflectivity depends not only on the quantity but also on the quality of humic substances and soil formation conditions.
  • 关键词:Soil organic carbon;remote sensing;sentinel;erosion;humic acids;13C-NMR
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