Benefits of Google Earth Engine in remote sensing

Name: Work Video:
Duration: 3 min 30 s
Xiaona WANG; Jinyan Tian; Xiaojuan LI; Le Wang; Huili Gong; Beibei Chen; Xiangcai LI; Jinghan GUO
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'https://openalex.org/W2070243348', 'https://openalex.org/W2063585734', 'https://openalex.org/W1988971925', 'https://openalex.org/W188365466', 'https://openalex.org/W1855024394'], 'abstract_inverted_index': {'近年来,随着遥感技术的快速发展,积累了海量的对地观测遥感数据。传统桌面端遥感处理平台(例如ERDAS和ENVI等)无法满足当前遥感大数据的应用需求。作为领先的遥感云计算平台,GEE(Google': [0], 'Earth': [1], 'Engine)的出现改变了传统遥感数据处理和分析模式,为海量数据快速处理与信息挖掘带来了新的契机。截止目前,科研人员已利用GEE成功开展了大量研究工作,发表多篇学术论文与综述。然而,还没有一项研究系统地分析GEE是如何推动遥感科学发展的。因此,本文旨在探讨GEE云平台相比于传统桌面端遥感处理平台分别在资源、方法和应用3个方面的创新性变革:(1)在资源方面,GEE以其集大数据/云计算为一体的特点,打破了传统数据、模型算法、算力分离的局面,实现上述3者的云端部署,在大规模数据快速处理与分析方面展现出巨大潜力;(2)在方法方面,GEE提供的遥感分析新方法,突破了传统遥感技术瓶颈,促进了遥感数据处理与分析的技术革新,极大提高了海量数据处理与信息挖掘效率;(3)在应用方面,GEE不仅为全球尺度的长时间序列快速分析带来发展机遇,而且推动了数据、算法和产品的快速共享,进一步迎来了开放、共享的遥感时代。通过系统归纳总结GEE平台的优势,不仅可以帮助潜在新用户了解GEE,同时加深现有用户的理解,还能促使谷歌开发人员完善和改进GEE,并且催生地球系统科学研究的新发现。': [2]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4382706259', 'counts_by_year': [{'year': 2024, 'cited_by_count': 3}, {'year': 2023, 'cited_by_count': 6}, {'year': 2022, 'cited_by_count': 2}], 'updated_date': '2024-12-15T17:52:47.255711', 'created_date': '2023-07-01'}
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