1 Introduction The primary goal of the Deep-time Digital Earth project is to develop an open collaboration and data sharing platform that enables the transition of deep-time geoscientific research to a Big Data driven...1 Introduction The primary goal of the Deep-time Digital Earth project is to develop an open collaboration and data sharing platform that enables the transition of deep-time geoscientific research to a Big Data driven paradigm.Such an open platform will require the ability to effectively and efficiently access and integrate a wide variety of digital Earth data.展开更多
The effort and cost required to convert satellite Earth Observation(EO)data into meaningful geophysical variables has prevented the systematic analysis of all available observations.To overcome these problems,we utili...The effort and cost required to convert satellite Earth Observation(EO)data into meaningful geophysical variables has prevented the systematic analysis of all available observations.To overcome these problems,we utilise an integrated High Performance Computing and Data environment to rapidly process,restructure and analyse the Australian Landsat data archive.In this approach,the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations–the EO Data Cube.This approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance measurement.We demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous,25 m resolution observations.Our preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.展开更多
The geoscience and chemistry communities have numerous common practices and dependency on data standards.Recent efforts from the International Union on Pure and Applied Chemistry(IUPAC)and the American Geophysical Uni...The geoscience and chemistry communities have numerous common practices and dependency on data standards.Recent efforts from the International Union on Pure and Applied Chemistry(IUPAC)and the American Geophysical Union(AGU)are to explore and collaborate on approaches and sharing lessons learned on efforts to implement the FAIR Guiding Principles as they apply to data in their respective communities.This paper summarizes their efforts-to-date highlighting the importance of existing communities,Scientific Unions,standards bodies and societies in taking deliberate steps to move and encourage researcher adoption of the FAIR tenets.展开更多
基金the US National Science Foundation for their long-time support of the development of the IGSN(Grant Nos.NSF-0445178,NSF-0514551,NSF-0552123)the Earth Chem system(Grant No.NSF-0522195)+1 种基金operation of both systems as part of the IEDA Data Facility(Grant Nos.NSF-0950477,NSF-1636653)the Alfred P.Sloan Foundation for a grant to Columbia University to support the development of a global,scalable,and sustainable technical and organizational infrastructure for persistent unique identifiers of physical scientific samples.
文摘1 Introduction The primary goal of the Deep-time Digital Earth project is to develop an open collaboration and data sharing platform that enables the transition of deep-time geoscientific research to a Big Data driven paradigm.Such an open platform will require the ability to effectively and efficiently access and integrate a wide variety of digital Earth data.
文摘The effort and cost required to convert satellite Earth Observation(EO)data into meaningful geophysical variables has prevented the systematic analysis of all available observations.To overcome these problems,we utilise an integrated High Performance Computing and Data environment to rapidly process,restructure and analyse the Australian Landsat data archive.In this approach,the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations–the EO Data Cube.This approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance measurement.We demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous,25 m resolution observations.Our preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.
文摘The geoscience and chemistry communities have numerous common practices and dependency on data standards.Recent efforts from the International Union on Pure and Applied Chemistry(IUPAC)and the American Geophysical Union(AGU)are to explore and collaborate on approaches and sharing lessons learned on efforts to implement the FAIR Guiding Principles as they apply to data in their respective communities.This paper summarizes their efforts-to-date highlighting the importance of existing communities,Scientific Unions,standards bodies and societies in taking deliberate steps to move and encourage researcher adoption of the FAIR tenets.
