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Establishing evaluation index system for desertification of Keerqin sandy land with remote sensing data

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Abstract

Keerqin sand land is located in the transitional terrain between the Northeast Plain and Inner Mongolia (42°41′–45°15′N, 118°35′–123°30′E) in Northeast China and it is seriously affected by desertification. According to the configuration and ecotope of the earth's surface, the coverage of vegetation, occupation ratio of bare sandy land and the soil texture were selected as evaluation indexes by using the field investigation data. The evaluation index system of Keerqin sandy desertification was established by using Remote Sensing data, and the occupation ratio of bare sandy land was obtained by mixed spectrum model. This index system is validated by the field investigation data and results indicate that it is suitable for the desertification evaluation of Keerqin.

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References

  • Fan Wenyi. 2002. Hyperspectral remote sensing information model for desertification degree assessment [J]. Scientia Silvae Sinicae,38(2): 61–67 (in Chinese)

    Google Scholar 

  • FAO/UNEP. 1984. Provisional methodology for assessment and mapping of desertification [R]. FAO, Rome

    Google Scholar 

  • Gao Shangwu and Wang Baofang. 1998. Monitoring and evaluation in dictator system on sandy desertification of China [J]. Scientia Silvae Sinicae,34(2) 1–10. (in Chinese)

    Google Scholar 

  • Kharin, N.G. 1986. Desertification assessment and mapping: A case study of Turkmenistan. USSR [J] Annals of Arid Zone,25(1): 26–29

    Google Scholar 

  • Mouat, D.A, Fox, C.A., Rose, M.R. 1992. Ecological indicator strategy for monitoring arid ecosystems. London: Elsevier Applied Science, 717–737

    Google Scholar 

  • Reining, P. 1978. Handbook on desertification indicators [M]. AAAS, Washington D.C.

    Google Scholar 

  • Yang Xiaohui Zhang Kebin. 2004. Desertification assessment in china: the state-of-art, problems and solution measures. Science of Soil and Water Conservation,2(1): 22–28 (in Chinese)

    Google Scholar 

  • Zhang Dewen and Wei Fuxuan. 1992. Model correction via compatible element method [J]. Journal of Aerospace Engineering, ASCE,5(3): 337–347.

    Article  Google Scholar 

  • Zhang Dewen and Wei Fuxuan. 2000. Exposition and argumentation on constrained least square method [J]. Chinese Journal of Computational Mechanics,17(4): 398–405. (in Chinese)

    Google Scholar 

  • Zhang Kebin and Yang Xiaohui. 2002. Desertification assessment indicator system in China [J]. Forestry Studies in China,4(1): 44–48.

    Google Scholar 

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Correspondence to Fan Wen-yi or Zhang Wen-hua.

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Foundation Item: This study is supported by a grant from the National Natural Science Foundation of China (No. 30371192)

Biography: FAN Wen-yi (1965-), Male, Professor in the Forestry College of Northeast Forestry University, Harbin 150040, P.R. China.

Responsible editor: Chai Ruihai

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Wen-yi, F., Wen-hua, Z., Su-fang, Y. et al. Establishing evaluation index system for desertification of Keerqin sandy land with remote sensing data. Journal of Forestry Research 16, 209–212 (2005). https://doi.org/10.1007/BF02856816

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  • DOI: https://doi.org/10.1007/BF02856816

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