城市环境土地利用监测的现代方法

M. Pilicheva, O. Kondrashchenko, E. Shterndok
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引用次数: 0

摘要

在城市化和全球气候变化的背景下,适应和响应土地利用动态的需要变得越来越重要。城市在不断变化,这种变化影响着居民生活的社会、经济和环境方面。因此,监测工具和方法必须具有灵活性、适应性和实时工作能力。得益于最新的技术和监测方法,快速分析变化和预测城市发展的未来成为可能。在这方面,应该注意到地球遥感。该工具的优点包括:幅员辽阔;图片频率高;不同光谱范围分析的可能性等。地理信息系统也是一个同样重要的工具。GIS允许您组合、分析和可视化空间数据。3D建模也是一个重要的工具。在激光扫描等现代技术的帮助下,创建城市地区的详细三维模型已经成为可能。另外,应该单独列出控制城市领土使用的自动化系统。由于数字技术的普及,公民可以使用移动应用程序、公共观察平台和其他工具积极参与监测过程,以收集和共享数据。在城市土地利用监测过程中,数学建模是预测城市土地利用的关键。这些模型帮助研究人员和当局了解当前的趋势,并对城市地区的未来发展做出预测。数学建模方法主要有:城市增长模型、地统计学模型、主体模型、回归模型、系统动力学模型、优化模型、景观生态学模型、扩散模型、社会经济模型、情景分析模型、组合模型等。为了获得最完整、最准确的图像,通常需要结合几种不同的建模方法。关键词:监测,地理信息系统,建模方法,土地利用,土地利用影响因素
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MODERN METHODS OF URBAN ENVIRONMENT LAND USE MONITORING
In the context of urbanization and global climate change, the need to adapt and respond to land use dynamics is becoming increasingly important. Cities are constantly transforming, and this transformation affects the social, economic and environmental aspects of the lives of their inhabitants. Accordingly, monitoring tools and methods must be flexible, adaptive and capable of working in real time. Thanks to the latest technologies and monitoring methods, it became possible to quickly analyse changes and predict the future of urban development. In this aspect, remote sensing of the Earth should be noted. The advantages of this tool include: large territorial coverage; high frequency of pictures; the possibility of analysis in different spectral ranges, etc. Geoinformation systems are an equally important tool. GIS allows you to combine, analyse and visualize spatial data. 3D modelling can also be noted as an important tool. With the help of modern technologies, such as laser scanning, it has become possible to create detailed three-dimensional models of urban areas. Separately, automated systems for controlling the use of the territory of cities should be singled out. Due to the proliferation of digital technologies, citizens can actively participate in monitoring processes using mobile applications, public observation platforms and other tools for data collection and sharing. In the monitoring processes of urban land use, mathematical modelling plays a key role in predicting urban land use. The models help researchers and authorities understand current trends and make predictions about the future development of urban areas. Several mathematical modelling approaches can be distinguished, which include: city growth models, geostatistical models, agent-based models, regression models, system dynamic models, optimization models, landscape ecology, diffusion models, socio-economic models, scenario analysis models , combined models. Several different modelling methods are often combined to obtain the most complete and accurate picture. Keywords: monitoring, geoinformation system, modeling methods, land use, factors influencing land use.
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