Basic technologies of web services framework for research, discovery, and processing the disparate massive Earth observation data from heterogeneous sources
نویسندگان
چکیده
منابع مشابه
Knowledge Discovery from Disparate Earth Data Sources
Advances in data collection and data storage technologies have made it possible to acquire massive Earth science data sets. In principle, these data sets could be transformed into great scientific discoveries. However, due to the heterogeneous nature and to the scale of the available Earth science data, traditional analysis methods are challenged and much of these data remain largely unexplored...
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In recent years, remote sensing data collection and archiving have significantly increased. Landsat data alone comprises 434 terabytes of archive (31 years of Landsat 1-5; 165 terabytes, 4 years of Landsat 7; 269 terabytes). Multiple Petabytes of data from EOS and Pre-EOS are archived by NASA DAACs. Since 1998, the science data volume managed by the EOSDIS has increased eight-fold, and continue...
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The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big E...
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Available domain ontologies are increasing over the time. However there is a huge amount of data stored and managed with RDBMS. We propose a method for learning association rules from both sources of knowledge in an integrated way. The extracted patterns can be used for performing: data analysis, knowledge completion, ontology refinement.
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NASA’s vision for Earth science is to build a “sensor web”: an adaptive array of heterogeneous satellites and other sensors that will track important events, such as storms, and provide real-time information about the state of the Earth to a wide variety of customers. Achieving this vision will require automation not only in the scheduling of the observations but also in the processing of the r...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2014
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xl-4-223-2014