On the use of Global Urban Footprint to the Polish settlement vector database development

Q4 Earth and Planetary Sciences
M. Brzezińska-Klusek
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引用次数: 0

Abstract

Urbanization has a far-reaching impact on the environment, economy, political and social processes. Therefore, understanding the spatial distribution and evolution of human settlements is a key element in planning strategies that ensure the sustainable development of urban and rural settlements. Accordingly, it is very important to map human settlements and to monitor the development of cities and villages. Therefore, the problem of settlements has found its reflection in the creation of global databases of urban areas. Global settlement data have extraordinary value. These data allow us to carry out the quantitative and qualitative analyses as well as to compare the settlement network at a regional, national and global scale. However, the possibility of conducting both spatial and attribute analyses of these data would be even more valuable. The article describes how to prepare raster data so that they can be implemented into a vector database. It answers the questions whether it is possible to combine these data with databases available in Poland and what benefits it brings. It presents the methods of data generalization and the optimization of time and disk space. As a result of the study, two vector databases with GUF data were developed. The first database resolution is similar to the original (~12 m resolution) database, the second database contains less detailed (~20 m resolution) data, generalized using mathematical morphology. Both databases have been enriched with descriptive data obtained from the National Geodetic and Cartographic Resource.
全球城市足迹在波兰定居矢量数据库开发中的应用
城市化对环境、经济、政治和社会进程有着深远的影响。因此,了解人类住区的空间分布和演变是确保城乡住区可持续发展的规划战略的关键要素。因此,绘制人类住区地图和监测城市和村庄的发展是非常重要的。因此,住区问题在建立全球城市地区数据库中得到反映。全球结算数据具有非凡的价值。这些数据使我们能够进行定量和定性分析,并在区域、国家和全球范围内比较定居点网络。然而,对这些数据进行空间和属性分析的可能性将更有价值。本文描述了如何准备栅格数据,以便将它们实现到矢量数据库中。它回答了是否有可能将这些数据与波兰现有的数据库结合起来以及它带来什么好处的问题。给出了数据泛化和时间、磁盘空间优化的方法。在此基础上,建立了两个基于GUF数据的矢量数据库。第一个数据库分辨率与原始数据库相似(~12 m分辨率),第二个数据库包含不太详细(~20 m分辨率)的数据,使用数学形态学进行广义化。从国家大地测量和制图资源获得的描述性数据丰富了这两个数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Geodeziya i Kartografiya
Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.60
自引率
0.00%
发文量
73
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