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7篇 您的检索式:作者名="Stuart Arnold"
    题名 作者 年代 出处 被引量
1Gastro-oesophageal reflux disease in primary care: an international study of different treatment strategies with omeprazole显示文摘Rolf Carlsson John Dent Richard Watts Stuart Riley Rajan Sheikh Jan Hatlebakk Kjell Haug Gerrit de Groot Arnold van Oudvorst Agneta Dalv?g Ola Junghard Ingela Wiklund 1998European Journal of Gastroenterology & Hepatology1998,,2:1
2A Test Method and Deterioration Model for Joints and Cracks in Concrete Slabs 显示文摘Stuart Arnold Paul Fleming Simon Austin 2005Cement and Concrete Research2005,35,12:1
3A Single Nucleotide Polymorphism in the MDM2 Promoter Attenuates the p53 Tumor Suppressor Pathway and Accelerates Tumor Formation in Humans显示文摘Gareth L. Bond Wenwei Hu Elisabeth E. Bond Harlan Robins Stuart G. Lutzker Nicoleta C. Arva Jill Bargonetti Frank Bartel Helge Taubert Peter Wuerl Kenan Onel Linwah Yip Shih-Jen Hwang Louise C. Strong Guillermina Lozano Arnold J. Levine 2004Cell2004,,5:1
4A test method and deterioration model for joints and cracks in concrete slabs显示文摘Stuart Arnold Paul Fleming Simon Austin 2005Cement and Concrete Research2005,,2:1
5A test method and deterioration model for joints and cracks in concrete slabs 显示文摘Stuart Arnold Paul Fleming Simon Austin Peter Robins 2005Cement and Concrete Research2005,35,:1
6Rapid,high-resolution detection of environmental change over continental scales from satellite data–the Earth Observation Data Cube显示文摘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.Adam Lewis Leo Lymburner Matthew B.J.Purss Brendan Brooke Ben Evans Alex Ip Arnold G.Dekker James R.Irons Stuart Minchin Norman Mueller Simon Oliver Dale Roberts Barbara Ryan Medhavy Thankappan Rob Woodcock Lesley Wyborn 2016International Journal of Digital Earth2016,9,1:0
7The Australian approach to geospatial capabilities;positioning,earth observation,infrastructure and analytics:issues,trends and perspectives显示文摘This paper examines the current state of three of the key areas of geospatial science in Australia:positioning;earth observation(EO);and spatial infrastructures.The paper discusses the limitations and challenges that will shape the development of these three areas of geospatial science over the next decade and then profiles what each may look like in about 2026.Australia’s national positioning infrastructure plan is guiding the development of a nation-wide,sub decimeter,real-time,outdoor positioning capability based on multi-GNSS and in particular the emerging precise point positioning−real-time kinematic(PPP-RTK)capability.Additional positioning systems including the ground-based Locata system,location-based indoor systems,and beacons,among others are also discussed.The importance of the underpinning role of a next generation dynamic datum is considered.The development of Australia’s first EO strategy is described along with the key national needs of the products of remote sensing.The development of massive on-line multi-decadal geospatial imagery data stores and processing engines for co-registered stacks of continuous base-line satellite imagery are explored.Finally,perspectives on the evolution of a future spatial knowledge infrastructure(SKI)emerging from today’s traditional spatial data infrastructures(SDIs)are provided together with discussion of the growing importance of geospatial analytics for transforming whole supply chains.Peter Woodgate Isabel Coppa Suelynn Choy Stuart Phinn Lesley Arnold Matt Duckham 2017Geo-Spatial Information Science2017,20,2:0
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