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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Agro-Environmental Protection Institute, Ministry of Agriculture
2021
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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) |
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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 |
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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 |
_version_ |
1718373925458542592 |