Assessment of the State of the Landscaping System in the City of Aktobe, the Republic of Kazakhstan, under Conditions of Man-Made Load Using Remote Sensing

A. Khamit, Nurlygul Utarbayeva, G. Shumakova, Murat Makhambetov, A. Abdullina, A. Sergeyeva
{"title":"Assessment of the State of the Landscaping System in the City of Aktobe, the Republic of Kazakhstan, under Conditions of Man-Made Load Using Remote Sensing","authors":"A. Khamit, Nurlygul Utarbayeva, G. Shumakova, Murat Makhambetov, A. Abdullina, A. Sergeyeva","doi":"10.3390/urbansci8020034","DOIUrl":null,"url":null,"abstract":"The growth of a city causes a complex of problems related to the increase in the pollution of the urban environment and the shortcomings in its improvement. The territory of the modern city is characterized by the highest man-made loads on the natural environment. The main problems are the low level of green areas, as well as the reduction in trees in many areas, which does not allow the city residents to live comfortably. Currently, Earth remote sensing methods using the vegetation index (NDVI) are one of the dominant means of assessing the condition. In this regard, the purpose of this study is to assess the ecological condition of the green zone in the city of Aktobe. To solve this problem, complex assessment was carried out, including statistical data analysis and the processing of satellite images by calculation of the NDVI for green areas and their mapping. The article analysis lies in the field of development and landscaping of the urban environment of Aktobe. A description of the current state of the system of green areas in the city was provided. On the basis of the data of remote sensing of the earth, the spatial features of the separate classes of the total phytomass of green plants within the city of Aktobe and the spatial features of the territorial zones of the city were determined during the differentiation of green plantings. A study of the dynamics of changes in the vegetation cover index (NDVI) during 2010, 2016, and 2023 allowed us to identify trends in the development of green spaces and their changes over time due to city growth and other factors. The data obtained as a result of the research can be used in the justification of urban planning decisions, landscape planning of the ecological infrastructure of the city, and optimization of landscaping systems.","PeriodicalId":510542,"journal":{"name":"Urban Science","volume":" 66","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/urbansci8020034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The growth of a city causes a complex of problems related to the increase in the pollution of the urban environment and the shortcomings in its improvement. The territory of the modern city is characterized by the highest man-made loads on the natural environment. The main problems are the low level of green areas, as well as the reduction in trees in many areas, which does not allow the city residents to live comfortably. Currently, Earth remote sensing methods using the vegetation index (NDVI) are one of the dominant means of assessing the condition. In this regard, the purpose of this study is to assess the ecological condition of the green zone in the city of Aktobe. To solve this problem, complex assessment was carried out, including statistical data analysis and the processing of satellite images by calculation of the NDVI for green areas and their mapping. The article analysis lies in the field of development and landscaping of the urban environment of Aktobe. A description of the current state of the system of green areas in the city was provided. On the basis of the data of remote sensing of the earth, the spatial features of the separate classes of the total phytomass of green plants within the city of Aktobe and the spatial features of the territorial zones of the city were determined during the differentiation of green plantings. A study of the dynamics of changes in the vegetation cover index (NDVI) during 2010, 2016, and 2023 allowed us to identify trends in the development of green spaces and their changes over time due to city growth and other factors. The data obtained as a result of the research can be used in the justification of urban planning decisions, landscape planning of the ecological infrastructure of the city, and optimization of landscaping systems.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用遥感技术评估哈萨克斯坦共和国阿克托别市人工负荷条件下的景观美化系统状况
城市的发展带来了一系列与城市环境污染加剧和改善不足有关的问题。现代城市的特点是对自然环境造成的人为负荷最大。主要问题是绿地率低,许多地区树木减少,城市居民无法舒适地生活。目前,使用植被指数(NDVI)的地球遥感方法是评估植被状况的主要手段之一。为此,本研究的目的是评估阿克纠宾市绿化带的生态状况。为了解决这个问题,进行了复杂的评估,包括统计数据的分析和卫星图像的处理,计算绿地的 NDVI 并绘制其地图。文章分析了阿克托别城市环境的发展和美化领域。文章介绍了该市绿地系统的现状。在地球遥感数据的基础上,确定了阿克托别市内绿色植物总植株量不同等级的空间特征,以及在绿化种植区分过程中城市地域的空间特征。通过对 2010 年、2016 年和 2023 年植被覆盖指数(NDVI)的动态变化进行研究,我们可以确定绿地发展的趋势及其因城市发展和其他因素而随时间发生的变化。研究获得的数据可用于城市规划决策的论证、城市生态基础设施的景观规划以及景观系统的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
House Sparrow Nesting Site Selection in Urban Environments: A Multivariate Approach in Mediterranean Spain A Strategic Multidirectional Approach for Picking Indicator Systems of Sustainability in Urban Areas Urban Parks in Novi Sad (Serbia)—Insights from Landscape Architecture Students Spatiotemporal Dynamics of Land Use and Community Perception in Peri-Urban Environments: The Case of the Intermediate City in Indonesia Mapping Urban Landscapes Prone to Hosting Breeding Containers for Dengue-Vector Mosquitoes: A Case Study in Bangkok
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1