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photo of Zheng Duan on Lund webpage

Zheng Duan

Associate senior lecturer

photo of Zheng Duan on Lund webpage

Estimation of the cover and management factor for modeling soil erosion using remote sensing

Author

  • Xian Feng Song
  • Zheng Duan
  • Hai Shan Niu
  • Yasuyuki Kono

Summary, in English

The cover and management factor (C) of the Universal Soil Loss Equation (USLE) is difficult to be estimated over broad geographic areas where meteorology and soil erosion are poorly monitored. This paper presents a new approach to estimate C factor based on multi-temporal images of Landsat TM/ETM and a weather generator. The linear spectral unmixture algorithm was adopted to calculate the fractional abundance of ground cover, from which the potential soil loss ratio (PSLR) was estimated. The weather generator (CLIGEN) was used to simulate historical rainfall events and compute the distribution of rainfall erosivity indices. The annual C factor was finally estimated by means of weighting PSLR with the proportion of rainfall erosivity indices. The proposed method was applied to the upstream area of the Chaohe River for validation. The results showed that the estimated C values appropriately responded to the vegetation abundance and land use types, and the estimated soil loss fitted well to the observed records.

Publishing year

2009-12-01

Language

English

Pages

58-63

Publication/Series

Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University

Volume

31

Issue

3

Document type

Journal article

Publisher

Beijing Forestry University

Topic

  • Environmental Sciences

Keywords

  • CLIGEN model
  • Cover and management factor
  • Linear spectral unmixture algorithm
  • Potential soil loss ratio(PSLR)
  • Rainfall erosivity index

Status

Published

ISBN/ISSN/Other

  • ISSN: 1000-1522