Eco-Economic Environment Coupling Based on Urban RSEI Theory

Introduction. Ecological environment is the foundation of social and economic development, and the coordinated development of social economy and ecological environment is one of the hotspots in urban sustainable development research. Traditional ecological economic measurement methods usually have p...

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Autores principales:	Yitong Lu, Minghang Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/7f2ba7bc6c7e41dd930b9193f416a71f
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id	oai:doaj.org-article:7f2ba7bc6c7e41dd930b9193f416a71f
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spelling	oai:doaj.org-article:7f2ba7bc6c7e41dd930b9193f416a71f2021-11-08T02:35:16ZEco-Economic Environment Coupling Based on Urban RSEI Theory1875-905X10.1155/2021/1600126https://doaj.org/article/7f2ba7bc6c7e41dd930b9193f416a71f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1600126https://doaj.org/toc/1875-905XIntroduction. Ecological environment is the foundation of social and economic development, and the coordinated development of social economy and ecological environment is one of the hotspots in urban sustainable development research. Traditional ecological economic measurement methods usually have problems such as difficulty in data acquisition and difficulty in pasteurization. In recent years, with the rise of global remote sensing technology, remote sensing has also been used to observe human social and economic activities. Remote sensing data have been created for the limitations of traditional statistical data with the advantages of being independent in the field of ecological and economic measurement. Methodology. This paper uses luminous remote sensing technique to obtain the visible-near-infrared electromagnetic wave information emitted from the surface at night under cloudless conditions and MODIS data combined with urban RSEI theory to quantitatively invert the ecological environment quality of the study area in 2019 based on a remote sensing perspective, taking a certain urban agglomeration in China as the research area. And it is continuous in time and space. Therefore, the coordination degree of remote sensing data should be fully explored in quantitative research. For proper analysis, regression was used. Research Content and Results. 2019 MODIS data were used to retrieve the six vegetation-related ecological environment factors in the study area and combine the urban RSEI theory to construct the remote sensing ecological comprehensive index of the study area, and the vegetation ecological environment quality and spatial agglomeration characteristics were evaluated. The results showed that vegetation coverage, leaf area index, total primary productivity, and surface moisture make positive contributions to the ecosystem of the study area. Based on the theoretical basis of coupling coordination theory, ecological economic theory, and sustainable development, we measured the degree of coordinated development between the social economic system and the ecological environment system in the study area from 2018 to the future period and combined the research results with the study area. The actual situation explores the practice path of benign coupling of the ecological economy. Conclusion. This paper is completely based on the research ideas of remote sensing data to measure the socioeconomic level and ecological environment quality and proves that remote sensing data and urban RESI theory are efficient and reliable new tools for the coordinated development of ecological economics. The research results can provide a development plan for urban agglomeration.Yitong LuMinghang LiHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Yitong Lu Minghang Li Eco-Economic Environment Coupling Based on Urban RSEI Theory
description	Introduction. Ecological environment is the foundation of social and economic development, and the coordinated development of social economy and ecological environment is one of the hotspots in urban sustainable development research. Traditional ecological economic measurement methods usually have problems such as difficulty in data acquisition and difficulty in pasteurization. In recent years, with the rise of global remote sensing technology, remote sensing has also been used to observe human social and economic activities. Remote sensing data have been created for the limitations of traditional statistical data with the advantages of being independent in the field of ecological and economic measurement. Methodology. This paper uses luminous remote sensing technique to obtain the visible-near-infrared electromagnetic wave information emitted from the surface at night under cloudless conditions and MODIS data combined with urban RSEI theory to quantitatively invert the ecological environment quality of the study area in 2019 based on a remote sensing perspective, taking a certain urban agglomeration in China as the research area. And it is continuous in time and space. Therefore, the coordination degree of remote sensing data should be fully explored in quantitative research. For proper analysis, regression was used. Research Content and Results. 2019 MODIS data were used to retrieve the six vegetation-related ecological environment factors in the study area and combine the urban RSEI theory to construct the remote sensing ecological comprehensive index of the study area, and the vegetation ecological environment quality and spatial agglomeration characteristics were evaluated. The results showed that vegetation coverage, leaf area index, total primary productivity, and surface moisture make positive contributions to the ecosystem of the study area. Based on the theoretical basis of coupling coordination theory, ecological economic theory, and sustainable development, we measured the degree of coordinated development between the social economic system and the ecological environment system in the study area from 2018 to the future period and combined the research results with the study area. The actual situation explores the practice path of benign coupling of the ecological economy. Conclusion. This paper is completely based on the research ideas of remote sensing data to measure the socioeconomic level and ecological environment quality and proves that remote sensing data and urban RESI theory are efficient and reliable new tools for the coordinated development of ecological economics. The research results can provide a development plan for urban agglomeration.
format	article
author	Yitong Lu Minghang Li
author_facet	Yitong Lu Minghang Li
author_sort	Yitong Lu
title	Eco-Economic Environment Coupling Based on Urban RSEI Theory
title_short	Eco-Economic Environment Coupling Based on Urban RSEI Theory
title_full	Eco-Economic Environment Coupling Based on Urban RSEI Theory
title_fullStr	Eco-Economic Environment Coupling Based on Urban RSEI Theory
title_full_unstemmed	Eco-Economic Environment Coupling Based on Urban RSEI Theory
title_sort	eco-economic environment coupling based on urban rsei theory
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/7f2ba7bc6c7e41dd930b9193f416a71f
work_keys_str_mv	AT yitonglu ecoeconomicenvironmentcouplingbasedonurbanrseitheory AT minghangli ecoeconomicenvironmentcouplingbasedonurbanrseitheory
_version_	1718443294169497600

Eco-Economic Environment Coupling Based on Urban RSEI Theory

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