Welcome to visit Scientia Silvae Sinicae,Today is

Scientia Silvae Sinicae ›› 2011, Vol. 47 ›› Issue (6): 9-16.doi: 10.11707/j.1001-7488.20110602

Previous Articles     Next Articles

Estimation of Soil Organic Matter Content in Desertified Lands Using Measured Soil Spectral Data

Gao Zhihai1, Bai Lina1, Wang Bengyu1, Li Zengyuan1, Li Xiaosong2, Wang Yukui3,4   

  1. 1. Key Laboratory of Forestry Remote Sensing and Information Techniques of State Forestry Administration Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091;2. Institute of Remote Sensing Applications, Chinese Academy of Sciences Beijing 100101;3. Water & Soil Conservation College, Beijing Forestry University Beijing 100083;4. Paulownia Research and Development Center of State Forestry Administration Zhengzhou 450003
  • Received:2009-12-16 Revised:2011-04-26 Online:2011-06-25 Published:2011-06-25

Abstract:

The topsoil spectral characteristics and spectral segments sensitivity to soil organic matter (SOM) were studied on the basis of laboratory analysis and spectral measurement of soil samples collected from 2 typical areas of desertification, and then models for estimating SOM of topsoil layer were established. The results showed that the soils of desertified lands had the unique wave-shaped spectral curves, with an obvious bow-shaped protuberance area in 500-900 nm wavelength range, which could be used to extract SOM information from soil spectrum. It was found by the correlation analysis that there were two spectral segments sensitive to SOM, centered at 600 and 830 nm wavelengths respectively. The result of model validation indicated that the models, taking the logarithm reflectance and reciprocal reflectance at 588 nm (lgR588, 1/R588) and the first derivative reflectance of reciprocal reflectance and logarithm reflectance at 835 nm (1/R835)', (lgR835)' as independent variable respectively, could be used to accurately estimate the SOM content in desertified lands.

Key words: desertified lands, soil organic matter, soil spectrum, estimate model

CLC Number: