Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine

To explore the temporal and spatial changes of the ecological and environmental quality in the Nanliu River basin from 2000 to 2019, the Google Earth Engine(GEE) platform was used to optimize the reconstruction of Landsat images of the Nanliu River basin from 2000 to 2019. Coupling the vegetation gr...

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Autores principales: YANG Kunshi, LU Yuan, WENG Yuemei, WEI Lizhen
Formato: article
Lenguaje:ZH
Publicado: Agro-Environmental Protection Institute, Ministry of Agriculture 2021
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Acceso en línea:https://doaj.org/article/3d737e367e7b4935b8cfcb5a79ec26e4
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spelling oai:doaj.org-article:3d737e367e7b4935b8cfcb5a79ec26e42021-12-03T02:29:42ZDynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine2095-681910.13254/j.jare.2020.0536https://doaj.org/article/3d737e367e7b4935b8cfcb5a79ec26e42021-11-01T00:00:00Zhttp://www.aed.org.cn/nyzyyhjxb/html/2021/6/20210618.htmhttps://doaj.org/toc/2095-6819To explore the temporal and spatial changes of the ecological and environmental quality in the Nanliu River basin from 2000 to 2019, the Google Earth Engine(GEE) platform was used to optimize the reconstruction of Landsat images of the Nanliu River basin from 2000 to 2019. Coupling the vegetation greenness, humidity, temperature of the earth's surface, soil dryness, and other ecological environment indicators facilitated the construction of a remote sensing ecological index(RSEI) to monitor and evaluate the ecological and environmental quality of the Nanliu River basin. The ecological and environmental quality of the Nanliu River basin showed an improvement year on year from 2000 to 2019. The average RSEI increased from 0.543 4 in 2000 to 0.636 4 in 2019. The transfer of area in the ecological and environmental quality of the Nanliu River basin change was mainly a shift from medium ecological risk grade to good ecological grade. In the upper reaches of the basin, the area of medium ecological grade decreased by 29.90 percent points, and the area of good ecological grade downstream increased by 28.11 percent points. Studies have shown that the use of the GEE platform to reconstruct annual, cloud-free images can facilitate long-term monitoring and evaluation of the ecological environment quality in areas of perennial cloud cover.YANG KunshiLU YuanWENG YuemeiWEI LizhenAgro-Environmental Protection Institute, Ministry of Agriculturearticlenanliu river basingoogle earth engineregional ecological environmental assessmentremote sensing ecological indexecological risk gradeAgriculture (General)S1-972Environmental sciencesGE1-350ZHJournal of Agricultural Resources and Environment, Vol 38, Iss 6, Pp 1112-1121 (2021)
institution DOAJ
collection DOAJ
language ZH
topic nanliu river basin
google earth engine
regional ecological environmental assessment
remote sensing ecological index
ecological risk grade
Agriculture (General)
S1-972
Environmental sciences
GE1-350
spellingShingle nanliu river basin
google earth engine
regional ecological environmental assessment
remote sensing ecological index
ecological risk grade
Agriculture (General)
S1-972
Environmental sciences
GE1-350
YANG Kunshi
LU Yuan
WENG Yuemei
WEI Lizhen
Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
description To explore the temporal and spatial changes of the ecological and environmental quality in the Nanliu River basin from 2000 to 2019, the Google Earth Engine(GEE) platform was used to optimize the reconstruction of Landsat images of the Nanliu River basin from 2000 to 2019. Coupling the vegetation greenness, humidity, temperature of the earth's surface, soil dryness, and other ecological environment indicators facilitated the construction of a remote sensing ecological index(RSEI) to monitor and evaluate the ecological and environmental quality of the Nanliu River basin. The ecological and environmental quality of the Nanliu River basin showed an improvement year on year from 2000 to 2019. The average RSEI increased from 0.543 4 in 2000 to 0.636 4 in 2019. The transfer of area in the ecological and environmental quality of the Nanliu River basin change was mainly a shift from medium ecological risk grade to good ecological grade. In the upper reaches of the basin, the area of medium ecological grade decreased by 29.90 percent points, and the area of good ecological grade downstream increased by 28.11 percent points. Studies have shown that the use of the GEE platform to reconstruct annual, cloud-free images can facilitate long-term monitoring and evaluation of the ecological environment quality in areas of perennial cloud cover.
format article
author YANG Kunshi
LU Yuan
WENG Yuemei
WEI Lizhen
author_facet YANG Kunshi
LU Yuan
WENG Yuemei
WEI Lizhen
author_sort YANG Kunshi
title Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
title_short Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
title_full Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
title_fullStr Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
title_full_unstemmed Dynamic monitoring of ecological and environmental quality of the Nanliu River basin, supported by Google Earth Engine
title_sort dynamic monitoring of ecological and environmental quality of the nanliu river basin, supported by google earth engine
publisher Agro-Environmental Protection Institute, Ministry of Agriculture
publishDate 2021
url https://doaj.org/article/3d737e367e7b4935b8cfcb5a79ec26e4
work_keys_str_mv AT yangkunshi dynamicmonitoringofecologicalandenvironmentalqualityofthenanliuriverbasinsupportedbygoogleearthengine
AT luyuan dynamicmonitoringofecologicalandenvironmentalqualityofthenanliuriverbasinsupportedbygoogleearthengine
AT wengyuemei dynamicmonitoringofecologicalandenvironmentalqualityofthenanliuriverbasinsupportedbygoogleearthengine
AT weilizhen dynamicmonitoringofecologicalandenvironmentalqualityofthenanliuriverbasinsupportedbygoogleearthengine
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