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Study on Digital Image Representations and Spatial Heterogeneity of Soil Particles in Wind Erosion Surface

Author: GaoJunLiang
Tutor: GaoYong；LiYuBao
School: Inner Mongolia Agricultural University
Course: Soil and Water Conservation and Desertification Combating
Keywords: Wind erosion Coarse-grained Digital image Particles extracted Spatial heterogeneity
CLC: S152.3
Type: Master's thesis
Year: 2011
Downloads: 50
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Abstract


Space distribution of coarse-grained study wind erosion of surface soil particles accurately determine wind erosion, desertification monitoring and evaluation, as well as scientifically controlling soil erosion has important significance. The main conclusions of the wind erosion coarse-grained surface Jilantai Salt Lake protected area soil particles based on digital image processing software and geostatistics software semivariance fractal dimension and Moran's I coefficient and spatial interpolation chart analysis, obtained technical processes as follows: (1) the application of digital image processing technology to extract better wind erosion of surface soil particles: an image format converter → image cropping → image noise reduction processing → image gray value stretching process → image color conversion → image format secondary image segmentation processing conversion → → Image Clustering Analysis → image removal the Analysis → Raster image vectorization → after Vector data to obtain. (2) the presence of significant linear relationship between the percentage content of the erosion of surface soil particles obtained by the application of digital image processing technology and sieving. (3) White of thorns (Nitraria tangutorum Bobr.) Shrubs not eclipse, semi-erodible, highly erodible particles semivariance model for the Gaussian model, the exponential model, the spherical model; Ammopiptanthus (Ammopiptanthus mongolicus (Maxim.) Cheng semi-variogram model semi-variance function model f.) shrub not eclipse, semi-erodible, highly erodible particles were spherical model, the Gaussian model, the exponential model; the sampling ground not eclipse, semi-erodible particles are Gaussian semi-variogram model model, highly erodible particles semivariance model for exponential model; the sampling ground not eclipse, semi-erodible, highly erodible particles are exponential model. (4) white shrub, sand holly shrub, sampling ground as well as sampling ground, not eclipse, semi-erodible and highly erodible particles fractal dimension: 1.663,1.902,1.608; 1.678,1.769 1.617; 1.824,1.787,1.881; 1.886,1.956,1.929. (5) white shrub, sand holly shrub sampling places in the three particle size of the soil particles Moran's I coefficient with sampling distance increases overall showed a linear downward trend, while sampling to 2, three Moran's I coefficient of the particle size of the soil particles occur randomly fluctuating constantly around 0. (6) the percentage of particles not eclipse of the white shrub and Ammopiptanthus shrub by shrub center to the periphery increased; percentage of highly erodible particles reduce southeast direction highly erodible particles were significantly high percentage the partial area of ??the semi-erodible particles in the other three directions; percentage content showed patchy distribution. Sampling and sampling of ground, semi-erodible particles with highly erodible particle spatial distribution is consistent the northwest half particles with highly erodible percentage of erodible particles below the southeast; non-pitting particles percentile Content in the region of the high value and a low value area of ??the percentage content of the other two diameter particles preferably complementarity.

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Soil > Soil physics > Soil mechanical composition ( texture )
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