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基于GEE平台水质监测应用的研究进展

关子凡 刘慧丽 计勇 熊鹏 苏玲 吴颖靖

江西科学2026,Vol.44Issue(1):19-27,9.
江西科学2026,Vol.44Issue(1):19-27,9.DOI:10.13990/j.issn1001-3679.2026.01.003

基于GEE平台水质监测应用的研究进展

Research Progress on the Application of the GEE Platform in Water Quality Monitoring

关子凡 1刘慧丽 2计勇 1熊鹏 2苏玲 2吴颖靖2

作者信息

  • 1. 江西水利电力大学水利工程学院,330099,南昌
  • 2. 江西省生态环境科学研究与规划院/环境污染防治江西省重点实验室,330099,南昌
  • 折叠

摘要

Abstract

The increasingly severe global water environment crisis has underscored the critical importance of water quality monitoring in environmental management.Traditional monito-ring methods are constrained by high costs and low efficiency,posing significant challenges to large-scale application.The integration of remote sensing technology with the Google Earth Engine(GEE)platform provides an innovative and efficient approach to water quality monitoring.GEE integrates multi-source remote sensing datasets-such as Landsat,Senti-nel and MODIS-with powerful cloud-based computational capabilities,enabling the spati-otemporal inversion of key water quality parameters including chlorophyll-a,total nitro-gen,and total phosphorus.The platform supports real-time processing of petabyte-scale remote sensing data,greatly improving the feasibility of long-term and large-scale water quality assessment.However,current studies indicate that GEE-based monitoring still faces challenges such as insufficient high-resolution imagery coverage,limited regional a-daptability of retrieval algorithms,and the scarcity of in-situ calibration data,all of which constrain its accuracy and applicability in remote regions.Future research should focus on enhancing access to high-resolution datasets,developing more adaptive retrieval models,and strengthening the integration of multi-source data and machine learning techniques.As the global market for real-time water quality monitoring continues to expand,the GEE platform will play a pivotal role in shifting water quality management from reactive treat-ment to proactive early warning and decision-making,providing essential technological sup-port for water environment governance.

关键词

GEE平台/水质监测/遥感技术/多源数据/机器学习

Key words

GEE platform/water quality monitoring/remote sensing technology/multi-source data/machine learning

分类

信息技术与安全科学

引用本文复制引用

关子凡,刘慧丽,计勇,熊鹏,苏玲,吴颖靖..基于GEE平台水质监测应用的研究进展[J].江西科学,2026,44(1):19-27,9.

基金项目

生态环境部农药环境评价与污染控制重点实验室开放课题(MPL2024007) (MPL2024007)

生态环境部城市生态环境模拟与保护重点实验室开放基金项目(UEESP-202503). (UEESP-202503)

江西科学

1001-3679

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