Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass

ABSTRACT

Sentinel-2 scenes are increasingly being used in operational Earth observation (EO) applications at regional, continental and global scales, in near-real time applications, and with multi-temporal approaches. On a broader scale, they are therefore one of the most important facilitators of the Digital Earth. However, the data quality and availability are not spatially and temporally homogeneous due to effects related to cloudiness, the position on the Earth or the acquisition plan. The spatio-temporal inhomogeneity of the underlying data may therefore affect any big remote sensing analysis and is important to consider. This study presents an assessment of the metadata for all accessible Sentinel-2 Level-1C scenes acquired in 2017, enabling the spatio-temporal coverage and availability to be quantified, including scene availability and cloudiness. Spatial exploratory analysis of the global, multi-temporal metadata also reveals that higher acquisition frequencies do not necessarily yield more cloud-free scenes and exposes metadata quality issues, e.g. systematically incorrect cloud cover estimation in high, non-vegetated altitudes. The continuously updated datasets and analysis results are accessible as a Web application called EO-Compass. It contributes to a better understanding and selection of Sentinel-2 scenes, and improves the planning and interpretation of remote sensing analyses.     

地球空间数据元数据标准初探

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基于元数据的空间数据网络分发系统研究

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一种读写分离的分布式元数据管理方法——以“数字城市”应用为例

针对动态\     

Accessing Australian geodynamic information: The AGCRC website

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多源遥感数据管理与远程处理集成实现

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地球科学数据的元数据研究

元数据是数据库领域中一个基本的概念,地球科学数据的无数据系统的建立有助于地学数据的开发和利用,文中说明了无数据在地学数据中的应用,论述了地学元数据的分类、获取、管理等问题。     

大型遥感图像处理系统中集成数据库设计及应用

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宁夏地面气象台站元数据变化特点及质量评估

利用宁夏25个气象站1951—2011年地面气象台站元数据LD数据文件质量控制信息,分析了台站元数据各项内容,特别是观测仪器、站址迁移变动次数的时间分布。结果表明:观测仪器变动次数占到变动总次数的89.6%,各站观测仪器每年平均变动次数是其他项变动次数的30~140倍;建国初期观测仪器匮乏、执行新版观测规范、观测仪器换型等是造成台站元数据变动次数增多的主要原因;1951—1960年站址迁移最多,但对气温观测要素均一性的影响较小,而2001—2011年因城镇化发展站址迁移对气温观测要素均一性的影响较大;经质量控制的台站元数据疑误数、疑误率、修改疑误数、修改率均降低,特别是修改疑误数、修改率降低十分明显,元数据质量已显著提高、质量可靠,可为气象业务科研提供高质量的元数据服务。     

地理国情普查外业调查轨迹整理方法研究

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