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Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

引用

Big Earth Data 2017年第1期1卷 100-117页

作者： Gregory Giuliani Bruno Chatenoux Andrea De Bono Denisa Rodila Jean-Philippe Richard karin allenbach Hy Dao Pascal Peduzzi Institute for Environmental Sciences/g D-geneva University of genevagenevaSwitzerland Institute for Environmental Sciences/EnviroSPaCE University of genevagenevaSwitzerland Institute for Environmental Sciences/Environmental governance and territorial Development University of genevagenevaSwitzerland Science Division United Nations Environment ProgrammegenevaSwitzerland

Pressures on natural resources are increasing and a number of challenges need to be overcome to meet the needs of a growing population in a period of environmental *** of these environmental issues can be monitored using remotely sensed Earth Observations(EO)data that are increasingly available from a number of freely and openly accessible ***,the full information potential of EO data has not been yet *** remain still underutilized mainly because of their complexity,increasing volume,and the lack of efficient processing *** Data Cubes(DC)are a new paradigm aiming to realize the full potential of EO data by lowering the barriers caused by these Big data challenges and providing access to large spatio-temporal data in an analysis ready *** and regular provision of Analysis Ready Data(ARD)will significantly reduce the burden on EO data ***,ARD are not commonly produced by data providers and therefore getting uniform and consistent ARD remains a challenging *** paper presents an approach to enable rapid data access and pre-processing to generate ARD using interoperable services *** approach has been tested and validated generating Landsat ARD while building the Swiss Data Cube.

关键词： Data Cube Earth Observations Landsat automatic processing analysis ready Data

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