Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery

With the rapid development in the global economy and technology, urbanization has accelerated. It is important to characterize the urban expansion and determine its driving force. In this study, we used the Xiaonan District in Hubei Province, China, as an example to map and quantify the spatiotempor...

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Autores principales:	Yan Liu, Renguang Zuo, Yanni Dong
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	urban expansion spatiotemporal dynamics urban growth types landsat imaging land consumption Science Q
Acceso en línea:	https://doaj.org/article/bc1ce45bc22b46839156883d5616dace
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spelling	oai:doaj.org-article:bc1ce45bc22b46839156883d5616dace2021-11-11T18:53:14ZAnalysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery10.3390/rs132142992072-4292https://doaj.org/article/bc1ce45bc22b46839156883d5616dace2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4299https://doaj.org/toc/2072-4292With the rapid development in the global economy and technology, urbanization has accelerated. It is important to characterize the urban expansion and determine its driving force. In this study, we used the Xiaonan District in Hubei Province, China, as an example to map and quantify the spatiotemporal dynamics of urban expansion from the two perspectives of built-up area and urban land in 1990–2020 by using remote sensing images. The location of rivers was found to be a primary limiting factor for spatial patterns and expansion of the built-up area. The transfer of the city center and the main direction of expansion generally corresponded well to the topography, policies, and development strategies. The built-up area expanded faster than the urban population in 1995–2020, which caused a waste in land resources. The results showed that the urban expansion first decreased and then increased during the research period. The increase in the proportion of the secondary industry was the main driving force of the urban expansion. Based on the characteristics of urban expansion in the past three decades, we conclude that the urban land of Xiaonan District will expand quickly in the future and will occupy vast agricultural land. The government must deploy control measures to balance the benefits and costs of urban expansion.Yan LiuRenguang ZuoYanni DongMDPI AGarticleurban expansionspatiotemporal dynamicsurban growth typeslandsat imagingland consumptionScienceQENRemote Sensing, Vol 13, Iss 4299, p 4299 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban expansion spatiotemporal dynamics urban growth types landsat imaging land consumption Science Q
spellingShingle	urban expansion spatiotemporal dynamics urban growth types landsat imaging land consumption Science Q Yan Liu Renguang Zuo Yanni Dong Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
description	With the rapid development in the global economy and technology, urbanization has accelerated. It is important to characterize the urban expansion and determine its driving force. In this study, we used the Xiaonan District in Hubei Province, China, as an example to map and quantify the spatiotemporal dynamics of urban expansion from the two perspectives of built-up area and urban land in 1990–2020 by using remote sensing images. The location of rivers was found to be a primary limiting factor for spatial patterns and expansion of the built-up area. The transfer of the city center and the main direction of expansion generally corresponded well to the topography, policies, and development strategies. The built-up area expanded faster than the urban population in 1995–2020, which caused a waste in land resources. The results showed that the urban expansion first decreased and then increased during the research period. The increase in the proportion of the secondary industry was the main driving force of the urban expansion. Based on the characteristics of urban expansion in the past three decades, we conclude that the urban land of Xiaonan District will expand quickly in the future and will occupy vast agricultural land. The government must deploy control measures to balance the benefits and costs of urban expansion.
format	article
author	Yan Liu Renguang Zuo Yanni Dong
author_facet	Yan Liu Renguang Zuo Yanni Dong
author_sort	Yan Liu
title	Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
title_short	Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
title_full	Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
title_fullStr	Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
title_full_unstemmed	Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery
title_sort	analysis of temporal and spatial characteristics of urban expansion in xiaonan district from 1990 to 2020 using time series landsat imagery
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/bc1ce45bc22b46839156883d5616dace
work_keys_str_mv	AT yanliu analysisoftemporalandspatialcharacteristicsofurbanexpansioninxiaonandistrictfrom1990to2020usingtimeserieslandsatimagery AT renguangzuo analysisoftemporalandspatialcharacteristicsofurbanexpansioninxiaonandistrictfrom1990to2020usingtimeserieslandsatimagery AT yannidong analysisoftemporalandspatialcharacteristicsofurbanexpansioninxiaonandistrictfrom1990to2020usingtimeserieslandsatimagery
_version_	1718431723733123072

Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery

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