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研究利用遥感数据及模糊c均值聚类方法对我国西北典型干旱区黑河下游的土壤细土颗粒粒径组成和质地类型的空间分布规律进行了初步研究。收集并分析了该地区的地形参数(坡度、沿剖面曲率和沿等高线曲率)、植被指数(NDVI)及地质数据,设计了16个野外典型样本采集点及9个独立样本用于结果验证。利用沉降法和筛分法测定了细土的颗粒粒径组成。以模糊隶属度为权重,运用加权平均法计算得到土壤砂粒、粉粒及粘粒含量和质地类型的空间分布,结果与9个独立采样点进行对比,无显著性差别。表明该方法在极端干旱区黑河下游地形较平缓地区适用性较强,结果能够满足应用需求,可为该区域的地表过程研究提供宝贵的数据支持。
The spatial distribution of soil fine-grained soil particle size distribution and texture types in the lower reaches of the Heihe River in the typical arid region of northwestern China was studied using remote sensing data and fuzzy c-means clustering. The topographic parameters (slope, curvature along the section and contour along the contour), vegetation index (NDVI) and geological data were collected and analyzed. Sixteen typical field samples and nine independent samples were designed for verification of results . The sediment method and sieve method were used to determine the particle size and composition of fine soil. Taking fuzzy membership as the weight, the spatial distribution of soil sand, silt and clay content and texture types were calculated by the weighted average method. The results were compared with 9 independent sampling points, no significant difference. The results show that the method can meet the application requirements and provide valuable data support for the study of the surface processes in the area.