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基于RS的城市土地集约利用潜力评价研究
Study on Potential Evaluation of Urban Land Intensive Use Based on RS
【作者】 李志伟;
【导师】 尹君;
【作者基本信息】 河北农业大学 , 土地资源管理, 2006, 硕士
【摘要】 土地是不可再生的资源之一,经济发展对土地产生巨大的需求。特别是我国现在正处于经济发展和城市化进程的加速阶段,在人多地少、土地资源供给有限的条件下,如何做到既保持必需的耕地数量,又要满足城市化合理的用地要求,成为关系到我国的社会经济能否可持续地发展下去的重要问题。当前城市发展和各项建设用地扩张迅速城市土地供求关系矛盾突出,大量的实践表明,开源节流精打细算,采用集约利用土地的发展模式,是解决这一问题的重要途径。同时,我国经济增长方式面临由粗放经济向集约经济的根本性转变,要求达到在市场经济条件下实现资源的合理优化配置,实现经济、社会的和谐发展和环境、资源的可持续发展。因此,无论是从保护土地资源、城市发展和城市土地合理配置角度,还是从经济增长方式最佳化的角度,实现城市土地集约化利用都显得非常重要。 本文在城市土地集约利用相关理论,城市土地集约利用潜力评价的理论、方法、指标体系的构建和标准的确定等方面研究的基础上,以石家庄市为例,进行了基于RS技术的城市土地集约利用潜力评价应用研究,并对评价结果进行了分析,提出了用地对策和建议。 (1)以往的城市土地集约利用潜力评价工作是以土地利用、城镇地籍、土地规划、城市规划资料为工作底图的,时效性差,误差高,实用性不强。本文利用遥感技术与现有资料、数据相结合,使城市土地集约利用潜力评价工作更具时效性,精度更高、实用性更强,工作更方便、快捷。 (2)本文构建了基于RS技术的城市土地集约利用潜力评价的指标体系和标准,并首次对石家庄市建成区和桥东区分别进行了城市土地集约利用潜力宏观评价和中微观评价,评价结果符合实际。 (3)在评价方法上,本文首次将人工神经网络方法应用到城市土地集约利用潜力评价中,并利用多因素叠加加权法对评价结果进行比较和验证。人工神经网络方法具有学习功能,具有避免人为因素影响和处理非线性关系的优点。 (4)高分辨率遥感数据的应用、影像解译和信息提取在城市土地集约利用潜力评价功能区划分和评价单元选择等方面具有较强的技术优势。 (5)本文对石家庄市(宏观)和桥东区(中微观)进行了城市土地集约利用潜力评价,评价结果为河北省、石家庄市政府、国土资源和城市规划部门对城市土地利用的宏观调控,有效配置土地资源提供了依据。
【Abstract】 The land is one of non-renewable resources, and the economical development has huge demand to the land. Especially our country is being in the economical development and the urbanized advancement acceleration period now. She has many people but little land, under the land resource supplies limited condition, it becomes the sustainable development on maintains the essential farming quantity, and must reasonably satisfy the urbanization use at the same time. Currently, it has prominent contradictory in the urban development and construction use to take up land high-speedily. It has Massive facts indicates that to tap new resources and economize on expense and uses the land intensively is the way to solve the problem. Meanwhile, the economic growth form is radical changing from extensive to intensive. It is the harmonious development of economy and society, and the sustainable development of environment and resource in the market economy condition. Therefore, it is very important to study on potential evaluation of urban land intensive use, not only in favor of the protection land resource, the urban development and the city land reasonable disposition, but also on the economical optimization growth way.This thesis studies the theories of urban land intensive use, and the theory, methods, index system and standards of urban land intensive use and potential evaluation. Case study of Shijiazhuang city, it takes the apply study on Potential evaluation of urban land intensive use base on RS, and analyses the evaluation result and gives Countermeasures and suggests at the end.1. The urban land use intensification potential evaluating mostly used the actuality land using map and cadastres in the past. It is weak on timeliness, possibly on mistake and less practicability. This thesis bases on RS and the integration basic data such as the nation economy and community development planning, the land using planning, the urban planning, the cadastre of urban and so on, which makes the2. It forms the index system and standards of urban land intensive use and potential evaluation base on RS. It evaluates the urban land intensive use potential of Shijiazhuang city and Qiaodong district for the first time. And the evaluation result accords with the fact.3. It applies the artificial neural network (ANN) in the urban land intensive use andpotential evaluation for the first time. ANN has the self-study function, and avoids the effect factors of human.4. The application of high ground resolution RS data, the image processing and the acquirement of information, which has technology advantage in the function area partition and evaluate unit selection of urban land intensive use and potential evaluation.5. It evaluates the urban land intensive use potential of Shijiazhuang city and Qiaodong district. The result and suggest offer the basis of the urban land use macro regulation and land resource optimal arrangement to the government of HeBei province and Shijiazhaung city, and the department of land resource management and city planning.
【Key words】 Remote sensing; Urban land intensive use; Potential evaluation; Artificial neural network; Shijiazhuang;
- 【网络出版投稿人】 河北农业大学 【网络出版年期】2006年 09期
- 【分类号】F293.2
- 【被引频次】26
- 【下载频次】941