Modeling techniques for gaining additional urban space

机译：获得更多城市空间的建模技术

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One of the major accompaniments of the globalization is the rapid growing of urban areas. Urban sprawl is the main environmental problem affecting those cities across different characteristics and continents. Various reasons for the increase in urban sprawl in the last 10 to 30 years have been proposed [1], and often depend on the socio-economic situation of cities. The quantitative reduction and the sustainable handling of land should be performed by inner urban development instead of expanding urban regions. Following the principal "spare the urban fringe, develop the inner suburbs first" requires differentiated tools allowing for quantitative and qualitative appraisals of current building potentials. Using spatial high resolution remote sensing data within an object-based approach enables the detection of potential areas while GIS-data provides information for the quantitative valuation.rnThis paper presents techniques for modeling urban environment and opportunities of utilization of the retrieved information for urban planners and their special needs.

机译：全球化的主要伴随之一是城市地区的快速增长。城市蔓延是影响不同特征和大洲的那些城市的主要环境问题。已经提出了在过去10到30年中城市扩张的各种原因[1]，并且通常取决于城市的社会经济状况。土地的定量减少和可持续处理应由城市内部发展而不是扩大城市区域来实现。遵循“远离城市边缘，首先开发内郊区”的原则，需要差异化的工具，以便对当前建筑潜力进行定量和定性评估。在基于对象的方法中使用空间高分辨率遥感数据可以检测潜在区域，而GIS数据可以为定量评估提供信息。rn本文介绍了用于对城市环境进行建模的技术，以及为城市规划人员和城市规划人员利用检索到的信息的机会他们的特殊需求。

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来源
《Remote sensing for environmental monitoring, GIS applications, and geology IX》|2010年|P.74781X.1-74781X.6|共6页
会议地点 Berlin(DE)
作者
Holger Thunig; rnSimone Naumann; rnAlexander Siegmund;
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作者单位

Dept. of Geography, Research Group for Earth Observation (~rgeo), University of Education Heidelberg, 69115 Heidelberg, Czernyring 22/ 11-12, Baden-Wurttemberg, Germany;

rnDept. of Geography, Research Group for Earth Observation (~rgeo), University of Education Heidelberg, 69115 Heidelberg, Czernyring 22/ 11-12, Baden-Wurttemberg, Germany;

rnDept. of Geography, Research Group for Earth Observation (~rgeo), University of Education Heidelberg, 69115 Heidelberg, Czernyring 22/ 11-12, Baden-Wurttemberg, Germany;

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原文格式 PDF
正文语种 eng
中图分类环境遥感;
关键词
remote sensing application in urban areas; object-based land use classification; multi-criteria decision support system;

机译：城市地区的遥感应用；基于对象的土地利用分类；多准则决策支持系统;

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Modeling techniques for gaining additional urban space

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