Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section

The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China’s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 La...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Wenlong Gao, Shengwei Zhang, Xinyu Rao, Xi Lin, Ruishen Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	remote sensing ecological index Google Earth Engine transfer matrix temporal and spatial distribution correlation analysis Science Q
Acceso en línea:	https://doaj.org/article/723a3da71743418baa6aee7b7466003a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:723a3da71743418baa6aee7b7466003a
record_format	dspace
spelling	oai:doaj.org-article:723a3da71743418baa6aee7b7466003a2021-11-11T18:58:52ZLandsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section10.3390/rs132144772072-4292https://doaj.org/article/723a3da71743418baa6aee7b7466003a2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4477https://doaj.org/toc/2072-4292The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China’s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 Landsat OLI/TM remote sensing images of the Yellow River Basin of Inner Mongolia from 2001 to 2020. Using the RSEI and the GEE Cloud Computing Jigsaw, we analyzed the spatial and temporal distribution of diagnostic values representative of the basin’s ecological status. Further, Mantel and Pearson correlations were used to analyze the significance of environmental factors in affecting the ecological quality of cities along the Yellow River within the study area. The results indicated that the overall mean of RSEI values rose at first and then fell. The RSEI grade to land area ratio was calculated to be highest in 2015 (excellent) and worst in 2001. From 2001 to 2020, ecological quality monitoring process of main cities in the Inner Mongolia region of the Yellow River Basin. Hohhot, Baotou, and Linhe all have an RSEI score greater than 0.5, considered average. However, Dongsheng had its best score (0.60, good) in 2005, which then declined and increased to an average rating in 2020. The RSEI value for Wuhai reached excellent in 2010 but then became poor in 2020, dropping to 0.28. The analysis of ecological quality in the city shows that the greenness index (NDVI) carried the most significant impact on the ecological environment, followed by the humidity index (Wet), the dryness index (NDBSI), the temperature index (Lst), land use, and then regional gross product (RGP). The significance of this study is to provide a real-time, accurate, and rapid understanding of trends in the spatial and temporal distribution of ecological and environmental quality along the Yellow River, thereby providing a theoretical basis and technical support for ecological and environmental protection and high-quality development of the Yellow River Basin.Wenlong GaoShengwei ZhangXinyu RaoXi LinRuishen LiMDPI AGarticleremote sensing ecological indexGoogle Earth Enginetransfer matrixtemporal and spatial distributioncorrelation analysisScienceQENRemote Sensing, Vol 13, Iss 4477, p 4477 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote sensing ecological index Google Earth Engine transfer matrix temporal and spatial distribution correlation analysis Science Q
spellingShingle	remote sensing ecological index Google Earth Engine transfer matrix temporal and spatial distribution correlation analysis Science Q Wenlong Gao Shengwei Zhang Xinyu Rao Xi Lin Ruishen Li Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
description	The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China’s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 Landsat OLI/TM remote sensing images of the Yellow River Basin of Inner Mongolia from 2001 to 2020. Using the RSEI and the GEE Cloud Computing Jigsaw, we analyzed the spatial and temporal distribution of diagnostic values representative of the basin’s ecological status. Further, Mantel and Pearson correlations were used to analyze the significance of environmental factors in affecting the ecological quality of cities along the Yellow River within the study area. The results indicated that the overall mean of RSEI values rose at first and then fell. The RSEI grade to land area ratio was calculated to be highest in 2015 (excellent) and worst in 2001. From 2001 to 2020, ecological quality monitoring process of main cities in the Inner Mongolia region of the Yellow River Basin. Hohhot, Baotou, and Linhe all have an RSEI score greater than 0.5, considered average. However, Dongsheng had its best score (0.60, good) in 2005, which then declined and increased to an average rating in 2020. The RSEI value for Wuhai reached excellent in 2010 but then became poor in 2020, dropping to 0.28. The analysis of ecological quality in the city shows that the greenness index (NDVI) carried the most significant impact on the ecological environment, followed by the humidity index (Wet), the dryness index (NDBSI), the temperature index (Lst), land use, and then regional gross product (RGP). The significance of this study is to provide a real-time, accurate, and rapid understanding of trends in the spatial and temporal distribution of ecological and environmental quality along the Yellow River, thereby providing a theoretical basis and technical support for ecological and environmental protection and high-quality development of the Yellow River Basin.
format	article
author	Wenlong Gao Shengwei Zhang Xinyu Rao Xi Lin Ruishen Li
author_facet	Wenlong Gao Shengwei Zhang Xinyu Rao Xi Lin Ruishen Li
author_sort	Wenlong Gao
title	Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
title_short	Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
title_full	Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
title_fullStr	Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
title_full_unstemmed	Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
title_sort	landsat tm/oli-based ecological and environmental quality survey of yellow river basin, inner mongolia section
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/723a3da71743418baa6aee7b7466003a
work_keys_str_mv	AT wenlonggao landsattmolibasedecologicalandenvironmentalqualitysurveyofyellowriverbasininnermongoliasection AT shengweizhang landsattmolibasedecologicalandenvironmentalqualitysurveyofyellowriverbasininnermongoliasection AT xinyurao landsattmolibasedecologicalandenvironmentalqualitysurveyofyellowriverbasininnermongoliasection AT xilin landsattmolibasedecologicalandenvironmentalqualitysurveyofyellowriverbasininnermongoliasection AT ruishenli landsattmolibasedecologicalandenvironmentalqualitysurveyofyellowriverbasininnermongoliasection
_version_	1718431651712729088

Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section

Ejemplares similares