基于高分遥感数据的小城镇发展状况评价模型研究

发布时间：2018-05-25 20:54

本文选题：小城镇 + 发展状况评价　；参考：《建设科技》2016年12期

【摘要】：准确的小城镇发展的评价具有重要的意义,多因素综合评价方法是对小城镇进行定量化评价是目前常用的方法,多因素综合评价方法的数据源多是统计数据。但是,统计数据质量问题影像了小城镇发展状况评价的可信性。为了解决上述问题,本文提出了一种基于遥感数据的方法,即从城市建设程度、资源拥有量、生态环境状况三个方面选择具有代表性的8个指标,利用高空间分辨率卫星影像提取土地利用土地分类数据,进而推导出指标值,再利用熵值法计算综合指标中的权重因子,从而得到小城镇发展的综合评价得分,反映出小城镇发展状况。
[Abstract]:It is of great significance to evaluate the development of small towns accurately. The multi-factor comprehensive evaluation method is a commonly used method for quantitative evaluation of small towns, and the data source of multi-factor comprehensive evaluation method is mostly statistical data. However, the quality of statistical data images the credibility of the evaluation of the development of small towns. In order to solve the above problems, this paper puts forward a method based on remote sensing data, which is to select 8 representative indexes from three aspects: the degree of urban construction, the quantity of resources, and the state of ecological environment. The land use classification data are extracted from high spatial resolution satellite image, and then the index value is deduced, and then the weight factor in the comprehensive index is calculated by entropy method, and the comprehensive evaluation score of small town development is obtained. Reflect the development of small towns.
【作者单位】：住房和城乡建设部遥感应用中心;北京师范大学;
【分类号】：P237;F299.2

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