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Analysis Ready Data Sensitivity Analyses
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019CEOS Analysis Ready Data for Land (CARD4L) are satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets. In this paper, key input data (e.g.
Simon Oliver+5 more
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Sar Analysis Ready Data and Tools for the Open Data Cube
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The amounts of satellite data available to the public have increased dramatically the last few years, in particular thanks to the public open release of certain key Earth observation missions, stimulating the development of new applications that use large volumes of data.
Brian Killough+3 more
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Analysis of SME data readiness: a simulation perspective
Journal of Small Business and Enterprise Development, 2016Purpose – The purpose of this paper is to investigate the data profile of manufacturing small and medium enterprises (SMEs) with specific emphasis on understanding the data readiness of SMEs for discrete event simulation (DES) modelling. Design/methodology/approach
Peter J. Byrne+2 more
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Advancements in the Open Data Cube and the Use of Analysis Ready Data in the Cloud
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021The Open Data Cube (ODC), created and facilitated by the Committee on Earth Observation Satellites (CEOS), is an open source software architecture that continues to gain global popularity through the integration of analysis-ready data (ARD) on cloud computing frameworks.
Andrew Lubawy+2 more
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Datacube Standards and their Contribution to Analysis-Ready Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Flexible, scalable services on massive geo data receive much attention today. OGC has taken a lead in defining interoperable spatio-temporal datacubes (the coverage paradigm) together with flexible scalable Web services (the Web Coverage Service / WCS standards suite).
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Generation of Raw RPPA Data and Their Conversion to Analysis-Ready Data
2019Reverse phase protein array (RPPA) provides investigators with a powerful high-throughput, quantitative, cost-effective technology for functional proteomics studies. It is an antibody-based technique with procedures similar to that of Western blots. RPPA has a wide variety of applications that range from pharmacodynamics and drug sensitivity assessment
Shiyun Ling, Rehan Akbani, Yiling Lu
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CEOS Analysis Ready Data for Land (CARD4L) Overview
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018For many land monitoring applications using remote sensing, lack of data is no longer an issue, as it may have been in the past. Programs, such as Copernicus by the European Commission and the Landsat Missions by the United States Geological Survey, have adopted systematic acquisition strategies, and distribute vast amounts of satellite data under open
Jennifer Lacey+11 more
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The U. S. Geological Survey’s Approach to Analysis Ready Data
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Analysis Ready Data (ARD) is a recent concept in Earth observing remote sensing which encompasses many different initiatives by individual imagery providers and collaborative international organizations working towards easing/minimizing data preprocessing required by users.
Christopher F. Barnes+7 more
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Data Analysis of Readiness Programs of Machine-Building Enterprises
2020One of the important aspects of providing the high level of the enterprises IT-readiness at machine-building enterprises is using the data science approach. By using data analysis, we mean the ability of the enterprises’ experts to increase using data by the most effective appliance of modern data science algorithms.
Bohdan Haidabrus+3 more
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Broad open access to entire clinical research studies data is on the rise. Public access to raw clinical research data has created tremendous opportunity to evaluate new research hypotheses that were not originally formulated in the studies; by reanalyzing data from a study, by performing cross analysis of multiple studies, or by combining study data ...
Sandra Andorf+4 more
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