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| 1 | Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)显示文摘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 variability.Some 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 repositories.However,the full information potential of EO data has not been yet realized.They remain still underutilized mainly because of their complexity,increasing volume,and the lack of efficient processing capabilities.EO 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 form.Systematic and regular provision of Analysis Ready Data(ARD)will significantly reduce the burden on EO data users.Nevertheless,ARD are not commonly produced by data providers and therefore getting uniform and consistent ARD remains a challenging task.This paper presents an approach to enable rapid data access and pre-processing to generate ARD using interoperable services chains.The approach has been tested and validated generating Landsat ARD while building the Swiss Data Cube. | Gregory Giuliani Bruno Chatenoux Andrea De Bono Denisa Rodila Jean-Philippe Richard Karin Allenbach Hy Dao Pascal Peduzzi | 2017 | Big Earth Data2017，1，1： | 7 |
| 2 | GEOEssential–mainstreaming workflows from data sources to environment policy indicators with essential variables显示文摘When defining indicators on the environment,the use of existing initiatives should be a priority rather than redefining indicators each time.From an Information,Communication and Technology perspective,data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations.GEOEssential is following an end-user driven approach by defining Essential Variables(EVs),as an intermediate value between environmental policy indicators and their appropriate data sources.From international to local scales,environmental policies and indicators are increasingly percolating down from the global to the local agendas.The scientific business processes for the generation of EVs and related indicators can be formalized in workflows specifying the necessary logical steps.To this aim,GEOEssential is developing a Virtual Laboratory the main objective of which is to instantiate conceptual workflows,which are stored in a dedicated knowledge base,generating executable workflows.To interpret and present the relevant outputs/results carried out by the different thematic workflows considered in GEOEssential(i.e.biodiversity,ecosystems,extractives,night light,and food-water-energy nexus),a Dashboard is built as a visual front-end.This is a valuable instrument to track progresses towards environmental policies. | Anthony Lehmann Stefano Nativi Paolo Mazzetti Joan Maso Ivette Serral Daniel Spengler Aidin Niamir Ian McCallum Pierre Lacroix Petros Patias Denisa Rodila Nicolas Ray Grégory Giuliani | 2020 | International Journal of Digital Earth2020，13，2： | 1 |
| 3 | High-throughput salting-out assisted liquid/liquid extraction and ultrafast LC for same-day delivery of first-in-human bioanalytical data显示文摘 | Zhang J Myasein F Rodila R | 2009 | Bioanalysis2009，1，4： | 1 |
| 4 | A sample preparation process for LC-MS-MS analysis of total protein drug concentrations in monkey plasma samples with antibody显示文摘 | Ji QC Rodila R E1-Shourbagy TA | 2007 | J Chromatogr B2007，847，2： | 1 |
| 5 | A strategy of plasma protein quantitation by selective reaction monitoring of an intact protein显示文摘 | Ji QC Rodila R Gage EM | 2003 | Anal Chem2003，75，24： | 1 |
| 6 | Method development for the concentration determination of a protein in human plasma utilizing 96-well solid-phase extraction and liquid chromatography/tandem mass spectrometric detection 显示文摘 | Ji QC Gage EM Rodila R | 2003 | Rapid Commun Mass Spectrom2003，17，8： | 1 |
| 7 | High-throughput saltingout assisted liquid/liquid extraction with acetonitrile for the simultaneous determination of simvastatin and simvastatin acid in human plasma with liquid chromatography显示文摘 | Zhang J Rodila R Gage E | | 0，，02： | 1 |
| 8 | 显示文摘 | QUINTANAA J B RODILA R REEMTSMAB T | 2004 | J Chromatogr A2004，1061，： | 1 |
| 9 | High-throughput salting-out assisted liquid/liquid extraction with acetonitrile for the simultaneous determination of simvastatin and simvastatin acid in human plasma with liquid chromatography显示文摘 | Zhang J Rodila R Gage E | 2010 | Anal Chim Acta2010，661，2： | 1 |
| 10 | Definition of candidate Essential Variables for the monitoring of mineral resource exploitation显示文摘The practice of raw material extraction has a high impact on the environment and represents a potential threat to the health and thriving of local communities.The concept of Extractive Essential Variables(EEVs)are explored in order to propose variables that can be used to quantify the environmental footprint of mineral extraction.Considering the interdependence of mining activities with social,economic and environmental issues,the variables target the development of monitoring tools for the implementation of the Sustainable Development Goals(SDGs).The identification of EEVs is based on the use of Earth Observation products in the field of mineral resources exploitation.A list of variables is proposed based on three classes of Essential Variables(EVs):installation and exploration phase,mineral extraction,and ore processing.These variables take into account the impacts of mining on the hydrology,land,water resources and the atmosphere of the area subjected to mineral exploitation.One of the variables is implemented as an operational workflow addressing SDG15,“life on land”.The workflow is intended to assess the area of forest ecosystem lost due to the presence of a mining site.Geospatial data on the extent of mining concessions and forest cover are combined using ArcGIS^(TM).The workflow is successively translated into a Unix script to automatize the process of data treatment.The script is developed using the Geospatial Data Abstraction Library(GDAL).The use of a Virtual Laboratory Platform(VLab),a web-service-based access platform,increases the accessibility of data and resources and the re-use of the script.This work is a first attempt to propose a framework of EEVs,derived data workflows,while the underlying methodology,partially based on scientific publications and on personal reasoning,still needs to be tested and,improved based on expertise in the sector. | Mariapaola Ambrosone Grégory Giuliani Bruno Chatenoux Denisa Rodila Pierre Lacroix | 2019 | Geo-Spatial Information Science2019，22，4： | 0 |
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