【摘要】 以黄河羊曲水电站陆生生态影响区域为研究区，采用现场实地调研和遥感影像解译等方式开展了研究区土地利用类型的识别解析研究，结合实地考察数据、土地利用参考资料和遥感应用指数解析了土地利用类型，对比不同分类方法的识别精度，核算区域内林地、耕地和草地面积。采用最大似然法分类、神经网络分类和支持向量机分类的方法分别对林地、耕地和草地的识别结果进行校正，并对多重判别的问题像元进行归类，得到研究区土地利用情况。对最终分类的影像进行统计，得到研究区内林地、耕地、草地面积分别为40.33、38.55、361.37 km~2。更多还原

【Abstract】 The paper conducted identification and analysis research on land use types in the terrestrial ecosystems affected areas of the Yellow River Yangqu hydropower station using on-site field research and remote sensing images interpretation methods,identified land use types with onsite field investigation data,land use reference data,and remote sensing application index,compared the recognition accuracy of different classification methods and calculated the area of forest,cultivated land,and grassland.The identification results of forest,cultivated land,and grassland were corrected using maximum likelihood method,neural network,and support vector machine,and the problem pixels of multiple discrimination were classified to obtain the land use situation in the study area.Statistical analysis of the final classified images revealed that the area of forest,cultivated land,and grassland in the study area were 40.33,38.55,and 361.37 km~2,respectively.更多还原