Unlocking the Australian Landsat Archive – From dark data to High Performance Data infrastructures

GeoResJ Pub Date : 2015-06-01 DOI:10.1016/j.grj.2015.02.010
Matthew B.J. Purss , Adam Lewis , Simon Oliver , Alex Ip , Joshua Sixsmith , Ben Evans , Roger Edberg , Glenn Frankish , Lachlan Hurst , Tai Chan
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引用次数: 24

Abstract

Earth Observation data acquired by the Landsat missions are of immense value to the global community and constitute the world’s longest continuous civilian Earth Observation program. However, because of the costs of data storage infrastructure these data have traditionally been stored in raw form on tape storage infrastructures which introduces a data retrieval and processing overhead that limits the efficiency of use of this data. As a consequence these data have become ‘dark data’ with only limited use in a piece-meal and labor intensive manner. The Unlocking the Landsat Archive project was set up in 2011 to address this issue and to help realize the true value and potential of these data.

The key outcome of the project was the migration of the raw Landsat data that was housed in tape archives at Geoscience Australia to High Performance Data facilities hosted by the National Computational Infrastructure (a super computer facility located at the Australian National University). Once this migration was completed the data were calibrated to produce a living and accessible archive of sensor and scene independent data products derived from Landsat-5 and Landsat-7 data for the period 1998–2012. The calibrated data were organized into High Performance Data structures, underpinned by ISO/OGC standards and web services, which have opened up a vast range of opportunities to efficiently apply these data to applications across multiple scientific domains.

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解锁澳大利亚陆地卫星档案-从暗数据到高性能数据基础设施
陆地卫星任务获得的地球观测数据对全球社会具有巨大价值,构成了世界上持续时间最长的民用地球观测项目。然而,由于数据存储基础设施的成本,这些数据传统上以原始形式存储在磁带存储基础设施上,这引入了数据检索和处理开销,限制了这些数据的使用效率。因此,这些数据已成为“暗数据”,只能以零碎和劳动密集型的方式有限地使用。解锁陆地卫星档案项目成立于2011年,旨在解决这一问题,并帮助实现这些数据的真正价值和潜力。该项目的主要成果是将保存在澳大利亚地球科学中心磁带档案中的原始Landsat数据迁移到由国家计算基础设施(位于澳大利亚国立大学的超级计算机设施)托管的高性能数据设施。迁移完成后,我们对数据进行了校准,以生成1998-2012年期间来自Landsat-5和Landsat-7数据的传感器和场景独立数据产品的实时存档。校准后的数据被组织成高性能数据结构,并以ISO/OGC标准和web服务为基础,这为有效地将这些数据应用于多个科学领域的应用提供了广泛的机会。
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