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基于RS的城市居住用地集约利用评价——以大庆市龙凤区为例 被引量:5

Evaluation of Intensive Use of Urban Residential Land Based on RS——A Case Study of Longfeng District of Daqing City
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摘要 提高城市土地集约利用水平是满足城市建设用地供给的重要途径。以大庆市龙凤区居住用地为研究区域,以遥感数据为主要数据源,构建了龙凤区居住用地集约利用评价指标体系,运用多因素综合评价法定量分析了2010年龙凤区居住用地集约利用水平及空间差异特征。结果表明:龙凤区居住用地集约利用水平较低并且空间差异显著。研究区居住用地集约度处于高度、较高、中等、低度的土地面积分别占到居住用地总面积的12.81%,11.69%,38.35%,36.20%,且居住用地集约度以黎明区块为最高,卧里屯区块最低;最后针对评价结果提出促进龙凤区居住用地集约利用的措施建议,为龙凤区居住用地集约利用提供了基础支撑,具有一定的指导意义。 Improvement of the level of urban land intensive use is an important way to meet the supply of land for urban construction. The residential land of Longfeng District of Daqing City was selected as the study area and the evaluation index system established by using RS data which were the primary data source in this system. Then the paper quantitatively analyzed degree of intensive land use and spatial different features of the residential land of Longfeng District in 2010 by using the multi-factor comprehensive evaluation method. The results indicated that the intensive use level of residential land in Longfeng District was slightly low and the spacial variation was obvious. The intensity of the study area can be divided into four grades (i. e, high, slightly high, medi- um, and low grade). The land areas of high, slightly high, medium, and low grade of intensive uses accounting for the total residential land area of four grades were 12.81%, 11.69 %, 38.35% and 36.20%, respectively. The intensive residential land utilization level was the highest in Liming block, whereas it was the lowest in Wolitun. At last, measures and suggestions on the promotion of intensive utilization of residential land in Longfeng District were proposed based on the result. These measures and suggestions can give an important support and guide for intensive utilization of residential land in Longfeng District.
出处 《水土保持研究》 CSCD 北大核心 2013年第1期202-205,共4页 Research of Soil and Water Conservation
基金 国家科技支撑计划项目(2008BAD96B02)
关键词 居住用地 集约利用 多因素综合评价法 RS residential land intensive use multi-factor comprehensive evaluation method RS
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