Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing

The traditional rapid urbanization process is the result of a strong focus on economic development, while its ecological and environmental aspects are less focused upon. The “new-type urbanization” (NTU) concept considers ecological conservation during the urbanization process. The different impacts...

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Autores principales:	Fang Shi, Mingshi Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	object-oriented classification RSEI spatio-temporal analysis spatial auto-correlation NTU Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/029ef329a774423388291d2da86486fd
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spelling	oai:doaj.org-article:029ef329a774423388291d2da86486fd2021-11-11T19:39:43ZAssessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing10.3390/su1321119792071-1050https://doaj.org/article/029ef329a774423388291d2da86486fd2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11979https://doaj.org/toc/2071-1050The traditional rapid urbanization process is the result of a strong focus on economic development, while its ecological and environmental aspects are less focused upon. The “new-type urbanization” (NTU) concept considers ecological conservation during the urbanization process. The different impacts of the two processes on regional ecological environment evolutions remain insufficiently investigated and still draw significant attention from urban planners and land managers when formulating proper land use policies. Thus, this study was designed to fill the gap by evaluating and comparing different effects of the traditional urbanization and NTU on urban land cover (LC) and ecological quality changes in the Jiangbei New Area, Nanjing, China. We first established a LC database using an object-oriented classification of multi-source high-resolution satellite images. Next, we quantified changes in ecological quality using the remote sensing ecological index (RSEI) model. Subsequently, spatial auto-correlation analysis was conducted to detect the clustering trend of the changing ecological quality in the study area over time. The results showed that the overall accuracy of the LC maps was 90.75% in 2009, 91.75% in 2015, and 92.04% in 2019. The average RSEI values of the study area were 0.583, 0.559, and 0.579, respectively. The spatial auto-correlation analysis indicated a strong positive correlation between the ecological qualities. However, the spatial distribution changed slightly from a clustered trend to a more random and dispersed trend as the Moran’s I decreased. The observed changes are attributed to the strict implementation of ecological conservation and restoration policies by the local government in the NTU process, as well as an increased residents’ awareness of protecting natural resources, indicating that the traditional urbanization has a stronger negative disturbance on regional ecological conditions than NTU. The proposed evaluation method can be applied to other similar regions for sustainable urban management.Fang ShiMingshi LiMDPI AGarticleobject-oriented classificationRSEIspatio-temporal analysisspatial auto-correlationNTUEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11979, p 11979 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	object-oriented classification RSEI spatio-temporal analysis spatial auto-correlation NTU Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	object-oriented classification RSEI spatio-temporal analysis spatial auto-correlation NTU Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Fang Shi Mingshi Li Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
description	The traditional rapid urbanization process is the result of a strong focus on economic development, while its ecological and environmental aspects are less focused upon. The “new-type urbanization” (NTU) concept considers ecological conservation during the urbanization process. The different impacts of the two processes on regional ecological environment evolutions remain insufficiently investigated and still draw significant attention from urban planners and land managers when formulating proper land use policies. Thus, this study was designed to fill the gap by evaluating and comparing different effects of the traditional urbanization and NTU on urban land cover (LC) and ecological quality changes in the Jiangbei New Area, Nanjing, China. We first established a LC database using an object-oriented classification of multi-source high-resolution satellite images. Next, we quantified changes in ecological quality using the remote sensing ecological index (RSEI) model. Subsequently, spatial auto-correlation analysis was conducted to detect the clustering trend of the changing ecological quality in the study area over time. The results showed that the overall accuracy of the LC maps was 90.75% in 2009, 91.75% in 2015, and 92.04% in 2019. The average RSEI values of the study area were 0.583, 0.559, and 0.579, respectively. The spatial auto-correlation analysis indicated a strong positive correlation between the ecological qualities. However, the spatial distribution changed slightly from a clustered trend to a more random and dispersed trend as the Moran’s I decreased. The observed changes are attributed to the strict implementation of ecological conservation and restoration policies by the local government in the NTU process, as well as an increased residents’ awareness of protecting natural resources, indicating that the traditional urbanization has a stronger negative disturbance on regional ecological conditions than NTU. The proposed evaluation method can be applied to other similar regions for sustainable urban management.
format	article
author	Fang Shi Mingshi Li
author_facet	Fang Shi Mingshi Li
author_sort	Fang Shi
title	Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
title_short	Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
title_full	Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
title_fullStr	Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
title_full_unstemmed	Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
title_sort	assessing land cover and ecological quality changes under the new-type urbanization from multi-source remote sensing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/029ef329a774423388291d2da86486fd
work_keys_str_mv	AT fangshi assessinglandcoverandecologicalqualitychangesunderthenewtypeurbanizationfrommultisourceremotesensing AT mingshili assessinglandcoverandecologicalqualitychangesunderthenewtypeurbanizationfrommultisourceremotesensing
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Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing

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