Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands

With the development of society, the impact of human activities on the ecological environment is becoming increasingly intense, so the dynamic monitoring of the status of the ecological environment is of great significance to the management and protection of urban ecology. As an objective and rapid...

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Main Authors: Zhisong Liu, Liyan Wang, Bin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Ecology and Evolution
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2022.918756/full
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author Zhisong Liu
Zhisong Liu
Liyan Wang
Bin Li
author_facet Zhisong Liu
Zhisong Liu
Liyan Wang
Bin Li
author_sort Zhisong Liu
collection DOAJ
description With the development of society, the impact of human activities on the ecological environment is becoming increasingly intense, so the dynamic monitoring of the status of the ecological environment is of great significance to the management and protection of urban ecology. As an objective and rapid ecological quality monitoring and evaluation technique, the remote sensing based ecological index (RSEI) has been widely used in the field of ecological research. Free available Landsat series data has the character of a long time series and high spatial resolution provides the possibility to conduct large-scale and long-term monitoring of ecological environment quality. Compared with traditional methods, the Google Earth Engine (GEE) platform can save a lot of time and energy in the data acquisition and preprocessing steps. To monitor the quality of the ecological environment in Zhoushan from 2000 to 2020, the GEE platform was used for cloud computing to obtain the RSEI, which can reflect the quality of the ecological environment. The results show that (1) from 2000 to 2020, the average RSEI value in Zhoushan Islands decreased from 0.748 to 0.681, indicating that the overall ecological environment exhibited a degradation trend. (2) From 2000 to 2020, the change in the area of each ecological environment level indicates that the quality of the ecological environment in Zhoushan Islands exhibited a degradation trend. The proportion of the area with an excellent eco-environment grade decreased by 13.54%, and the proportion of the area with poor and fair eco-environment grades increased by 3.43%.
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spelling doaj.art-c5377d41935a45b19f59ca5d9aa9dca12022-12-22T00:29:11ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2022-06-011010.3389/fevo.2022.918756918756Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan IslandsZhisong Liu0Zhisong Liu1Liyan Wang2Bin Li3Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province, Zhoushan, ChinaSchool of Information Engineering, Zhejiang Ocean University, Zhoushan, ChinaMarine Science and Technology College, Zhejiang Ocean University, Zhoushan, ChinaBeijing VMinFull Limited, Beijing, ChinaWith the development of society, the impact of human activities on the ecological environment is becoming increasingly intense, so the dynamic monitoring of the status of the ecological environment is of great significance to the management and protection of urban ecology. As an objective and rapid ecological quality monitoring and evaluation technique, the remote sensing based ecological index (RSEI) has been widely used in the field of ecological research. Free available Landsat series data has the character of a long time series and high spatial resolution provides the possibility to conduct large-scale and long-term monitoring of ecological environment quality. Compared with traditional methods, the Google Earth Engine (GEE) platform can save a lot of time and energy in the data acquisition and preprocessing steps. To monitor the quality of the ecological environment in Zhoushan from 2000 to 2020, the GEE platform was used for cloud computing to obtain the RSEI, which can reflect the quality of the ecological environment. The results show that (1) from 2000 to 2020, the average RSEI value in Zhoushan Islands decreased from 0.748 to 0.681, indicating that the overall ecological environment exhibited a degradation trend. (2) From 2000 to 2020, the change in the area of each ecological environment level indicates that the quality of the ecological environment in Zhoushan Islands exhibited a degradation trend. The proportion of the area with an excellent eco-environment grade decreased by 13.54%, and the proportion of the area with poor and fair eco-environment grades increased by 3.43%.https://www.frontiersin.org/articles/10.3389/fevo.2022.918756/fullecological environmental qualityRSEIGoogle Earth EngineZhoushan Islandscloud computing
spellingShingle Zhisong Liu
Zhisong Liu
Liyan Wang
Bin Li
Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
Frontiers in Ecology and Evolution
ecological environmental quality
RSEI
Google Earth Engine
Zhoushan Islands
cloud computing
title Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
title_full Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
title_fullStr Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
title_full_unstemmed Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
title_short Quality Assessment of Ecological Environment Based on Google Earth Engine: A Case Study of the Zhoushan Islands
title_sort quality assessment of ecological environment based on google earth engine a case study of the zhoushan islands
topic ecological environmental quality
RSEI
Google Earth Engine
Zhoushan Islands
cloud computing
url https://www.frontiersin.org/articles/10.3389/fevo.2022.918756/full
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