卫星CCT数据计算机ISOMIX分类在高寒农牧业区植被调查中的应用研究

A Study on Automatic Classification of Landsat CCT Data by the ISOMIX Method for the Vegetation Investigation of the Frigid Alpine Meadow

  • 摘要: 本文从陆地卫星二号1976年12月28日记录的古浪幅CCT磁带中提取出甘肃省天祝藏族自治县代乾牧场——哈溪地区的光谱亮度数据,在SENMENS通用计算机上进行了双阈值ISOMIX法分类处理.实地检验表明,根据八类分类结果绘制成的1∶5万彩色分类图较好地反映了区域的山脉走向、水系沟谷方向等地貌信息;各分类类别与植被类型之间呈现出良好的对应关系,在一定程度上,分类图还比常规调查提供更多的细节.因此该方法对在高寒山区及类似的气候恶劣、交通不便的边远地区进行植被资源调查有着广阔的应用前景.

     

    Abstract: A program of automatic classification based on the two threshold value ISOMIX method is presented.The program has been used to classify CCT data recorded by the No.2 Landsat,which scanned the Tianzhu area of Gansu Province.The obtained classified results were used to depict maps,which reflects the landforms and the vegetation distribution of the area perfectly.

     

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