The Australian Geoscience Data Cube - Foundations and lessons learned

被引:225
作者
Lewis, Adam [1 ]
Oliver, Simon [1 ]
Lymburner, Leo
Evans, Ben [2 ]
Wyborn, Lesley [2 ]
Mueller, Norman [1 ]
Raevksi, Gregory [1 ]
Hooke, Jeremy [1 ]
Woodcock, Rob [3 ]
Sixsmith, Joshua [1 ]
Wu, Wenjun [1 ]
Tan, Peter [1 ]
Li, Fuqin [1 ]
Killough, Brian [4 ]
Minchin, Stuart [1 ]
Roberts, Dale [1 ,2 ]
Ayers, Damien [1 ]
Bala, Biswajit [1 ]
Dwyer, John [5 ]
Dekker, Arnold [3 ]
Dhu, Trevor [1 ]
Hicks, Andrew [1 ]
Ip, Alex [1 ]
Purss, Matt [1 ]
Richards, Clare [2 ]
Sagar, Stephen [1 ]
Trenham, Claire [2 ]
Wang, Peter [3 ]
Wang, Lan-Wei [1 ]
机构
[1] Geosci Australia, GPO Box 378, Canberra, ACT 2601, Australia
[2] Australian Natl Univ, Canberra, ACT 2601, Australia
[3] CSIRO, GPO Box 1700, Canberra, ACT 2600, Australia
[4] NASA, Langley Res Ctr, 1 Nasa Dr, Hampton, VA 23666 USA
[5] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, 47914 252nd St, Sioux Falls, SD 57198 USA
关键词
Landsat; Time-series; Big data; Data cube; High performance computing; High performance data; Collection management; Geometric correction; Pixel quality; Australian Geoscience Data Cube; LANDSAT TIME-SERIES; BIG DATA; TOPOGRAPHIC CORRECTION; FOREST DISTURBANCE; BRDF CORRECTION; SURFACE-WATER; COVER; REFLECTANCE; NORMALIZATION; CHALLENGES;
D O I
10.1016/j.rse.2017.03.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Australian Geoscience Data Cube (AGDC) aims to realise the full potential of Earth observation data holdings by addressing the Big Data challenges of volume, velocity, and variety that otherwise limit the usefulness of Earth observation data. There have been several iterations and AGDC version 2 is a major advance on previous work. The foundations and core components of the AGDC are: (1) data preparation, including geometric and radiometric corrections to Earth observation data to produce standardised surface reflectance measurements that support time-series analysis, and collection management systems which track the provenance of each Data Cube product and formalise re-processing decisions; (2) the software environment used to manage and interact with the data; and (3) the supporting high performance computing environment provided by the Australian National Computational Infrastructure (NCI). A growing number of examples demonstrate that our data cube approach allows analysts to extract rich new information from Earth observation time series, including through new methods that draw on the full spatial and temporal coverage of the Earth observation archives. To enable easy-uptake of the AGDC, and to facilitate future cooperative development, our code is developed under an open-source, Apache License, Version 2.0. This open source approach is enabling other organisations, including the Committee on Earth Observing Satellites (CEOS), to explore the use of similar data cubes in developing countries. Crown Copyright (C) 2017 Published by Elsevier Inc.
引用
收藏
页码:276 / 292
页数:17
相关论文
共 76 条
[1]  
[Anonymous], 2001, APPL DELIVERY STRATE
[2]  
[Anonymous], 2006, Remote Sensing: Models and Methods for Image Processing
[3]  
[Anonymous], 1986, INTRO DIGITAL IMAGE
[4]   Landsat 7's long-term acquisition plan - an innovative approach to building a global imagery archive [J].
Arvidson, T ;
Gasch, J ;
Goward, SN .
REMOTE SENSING OF ENVIRONMENT, 2001, 78 (1-2) :13-26
[5]  
Australian Academy of Science, 2009, AUSTR STRAT PLAN EAR
[6]  
Baumann P., 1998, SIGMOD Record, V27, P575, DOI 10.1145/276305.276386
[7]   Big Data Analytics for Earth Sciences: the EarthServer approach [J].
Baumann, Peter ;
Mazzetti, Paolo ;
Ungar, Joachim ;
Barbera, Roberto ;
Barboni, Damiano ;
Beccati, Alan ;
Bigagli, Lorenzo ;
Boldrini, Enrico ;
Bruno, Riccardo ;
Calanducci, Antonio ;
Campalani, Piero ;
Clements, Oliver ;
Dumitru, Alex ;
Grant, Mike ;
Herzig, Pasquale ;
Kakaletris, George ;
Laxton, John ;
Koltsida, Panagiota ;
Lipskoch, Kinga ;
Mahdiraji, Alireza Rezaei ;
Mantovani, Simone ;
Merticariu, Vlad ;
Messina, Antonio ;
Misev, Dimitar ;
Natali, Stefano ;
Nativi, Stefano ;
Oosthoek, Jelmer ;
Pappalardo, Marco ;
Passmore, James ;
Rossi, Angelo Pio ;
Rundo, Francesco ;
Sen, Marcus ;
Sorbera, Vittorio ;
Sullivan, Don ;
Torrisi, Mario ;
Trovato, Leonardo ;
Veratelli, Maria Grazia ;
Wagner, Sebastian .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2016, 9 (01) :3-29
[8]  
BERK A, 1999, SPIE C SERIES, V3756, P348
[9]   CRITICAL QUESTIONS FOR BIG DATA Provocations for a cultural, technological, and scholarly phenomenon [J].
Boyd, Danah ;
Crawford, Kate .
INFORMATION COMMUNICATION & SOCIETY, 2012, 15 (05) :662-679
[10]  
Caccetta P., 2007, 32nd International symposium on remote sensing of environment, P25