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Acta Prataculturae Sinica ›› 2011, Vol. 20 ›› Issue (2): 156-162.

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Features and application of a rangeland detection algorithm based on fractal dimensions to detect characteristics of barren patch

WANG Zhao-qi, LIN Hui-long   

  1. College of Pastoral Agriculture Science and Technology, Lanzhou University, Gansu Grassland Ecological Research Institute, Lanzhou 730020,China
  • Received:2009-11-10 Online:2011-02-25 Published:2011-04-20

Abstract: The area and circumference of barren patch in grazing grassland was calculated by GIS software (ArcView GIS 3.2a) using field digital imaging to measure the shape index and fractal dimensions of barren patches. This method showed that barren patches in grazing grassland of the degraded alpine meadows has typical fractal characteristics with shape index and fractal dimensions of 1.8 and 1.1 respectively. There were 120 least insert points following the typical barren patch boundary in degraded alpine grazing meadow and the relative shape index change rate was <5% while the relative fractal dimension change rate was <0.5%. The method gives fast, accurate measurement, fine practicability and maneuverability. It provides a new, inovative technique in grazing ecology to explain the complicated problem of barren patch appearance in grazing grassland.

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