Rapid,high-resolution detection of environmental change over continental scales from satellite data–the Earth Observation Data Cube

作     者：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 

作者机构：Geoscience AustraliaCanberraAustralia National Computational InfrastructureAustralian National UniversityCanberraAustralia Commonwealth Scientific and Industrial Research OrganisationCanberraAustralia NASA Goddard Space Flight CenterGreenbeltMDUSA Research School of FinanceActuarial Studies and Applied StatisticsANUCanberraAustralia The Group on Earth Observations SecretariateGenevaSwitzerland 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2016年第9卷第1期

页      面：106-111页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Commonwealth of Australia ANU's NCI Facility 

主　　题：Earth Observation Data Cube HPD HPC surface water Landsat Australia 

摘      要：The effort and cost required to convert satellite Earth Observation(EO)data into meaningful geophysical variables has prevented the systematic analysis of all available *** overcome these problems,we utilise an integrated High Performance Computing and Data environment to rapidly process,restructure and analyse the Australian Landsat data *** 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 *** approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance *** 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 *** 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.