Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017

Impervious surfaces are key indicators for urbanization monitoring and watershed degradation assessment over space and time. However, most empirical studies only extracted impervious surface from spatial, temporal or spectral perspectives, paying less attention to integrating multiple dimensions in...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shanshan Wang, Yingxia Pu, Shengfeng Li, Runjie Li, Maohua Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	impervious surface NSTF urban agglomerations expansion pattern Qinhuai River Basin (QRB) Science Q
Acceso en línea:	https://doaj.org/article/9f05501856784b7282432b1273d7f99c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9f05501856784b7282432b1273d7f99c
record_format	dspace
spelling	oai:doaj.org-article:9f05501856784b7282432b1273d7f99c2021-11-25T18:53:39ZSpatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–201710.3390/rs132244942072-4292https://doaj.org/article/9f05501856784b7282432b1273d7f99c2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4494https://doaj.org/toc/2072-4292Impervious surfaces are key indicators for urbanization monitoring and watershed degradation assessment over space and time. However, most empirical studies only extracted impervious surface from spatial, temporal or spectral perspectives, paying less attention to integrating multiple dimensions in acquiring continuous changes in impervious surfaces. In this study, we proposed a neighborhood-based spatio-temporal filter (NSTF) to obtain the continuous change information of impervious surfaces from multi-temporal Landsat images in the Qinhuai River Basin (QRB), Jiangsu, China from 1988–2017, based on the results from semi-automatic decision tree classification. Moreover, we used the expansion intensity index (EII) and the landscape extension index (LEI) to further characterize the spatio-temporal characteristics of impervious surfaces on different spatial scales. The preliminary results showed that the overall accuracies of the final classification were about 95%, with the kappa coefficients ranging between 0.9 and 0.96. The QRB underwent rapid urbanization with the percentage of the impervious surfaces increasing from 2.72% in 1988 to 25.6% in 2017. Since 2006, the center of urbanization expansion was shaped from the urban built-up areas of Nanjing and Jiangning to non-urban built-up areas of the Jiangning, Lishui, and Jurong districts. The edge expansion occupied 73% on average among the different landscape expansion types, greatly beyond outlying (12%) and infilling (15%). The window size in the NSTF has a direct impact on the subsequent analysis. Our research could provide decision-making references for future urban planning and development in the similar basins.Shanshan WangYingxia PuShengfeng LiRunjie LiMaohua LiMDPI AGarticleimpervious surfaceNSTFurban agglomerationsexpansion patternQinhuai River Basin (QRB)ScienceQENRemote Sensing, Vol 13, Iss 4494, p 4494 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	impervious surface NSTF urban agglomerations expansion pattern Qinhuai River Basin (QRB) Science Q
spellingShingle	impervious surface NSTF urban agglomerations expansion pattern Qinhuai River Basin (QRB) Science Q Shanshan Wang Yingxia Pu Shengfeng Li Runjie Li Maohua Li Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
description	Impervious surfaces are key indicators for urbanization monitoring and watershed degradation assessment over space and time. However, most empirical studies only extracted impervious surface from spatial, temporal or spectral perspectives, paying less attention to integrating multiple dimensions in acquiring continuous changes in impervious surfaces. In this study, we proposed a neighborhood-based spatio-temporal filter (NSTF) to obtain the continuous change information of impervious surfaces from multi-temporal Landsat images in the Qinhuai River Basin (QRB), Jiangsu, China from 1988–2017, based on the results from semi-automatic decision tree classification. Moreover, we used the expansion intensity index (EII) and the landscape extension index (LEI) to further characterize the spatio-temporal characteristics of impervious surfaces on different spatial scales. The preliminary results showed that the overall accuracies of the final classification were about 95%, with the kappa coefficients ranging between 0.9 and 0.96. The QRB underwent rapid urbanization with the percentage of the impervious surfaces increasing from 2.72% in 1988 to 25.6% in 2017. Since 2006, the center of urbanization expansion was shaped from the urban built-up areas of Nanjing and Jiangning to non-urban built-up areas of the Jiangning, Lishui, and Jurong districts. The edge expansion occupied 73% on average among the different landscape expansion types, greatly beyond outlying (12%) and infilling (15%). The window size in the NSTF has a direct impact on the subsequent analysis. Our research could provide decision-making references for future urban planning and development in the similar basins.
format	article
author	Shanshan Wang Yingxia Pu Shengfeng Li Runjie Li Maohua Li
author_facet	Shanshan Wang Yingxia Pu Shengfeng Li Runjie Li Maohua Li
author_sort	Shanshan Wang
title	Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
title_short	Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
title_full	Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
title_fullStr	Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
title_full_unstemmed	Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017
title_sort	spatio-temporal analysis of impervious surface expansion in the qinhuai river basin, china, 1988–2017
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9f05501856784b7282432b1273d7f99c
work_keys_str_mv	AT shanshanwang spatiotemporalanalysisofimpervioussurfaceexpansionintheqinhuairiverbasinchina19882017 AT yingxiapu spatiotemporalanalysisofimpervioussurfaceexpansionintheqinhuairiverbasinchina19882017 AT shengfengli spatiotemporalanalysisofimpervioussurfaceexpansionintheqinhuairiverbasinchina19882017 AT runjieli spatiotemporalanalysisofimpervioussurfaceexpansionintheqinhuairiverbasinchina19882017 AT maohuali spatiotemporalanalysisofimpervioussurfaceexpansionintheqinhuairiverbasinchina19882017
_version_	1718410606687551488

Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988–2017

Ejemplares similares