Results 11 to 20 of about 68,041 (314)
Area and shape distortions in open-source discrete global grid systems
Big Earth Data, 2022 A Discrete Global Grid System (DGGS) is a type of spatial reference system that tessellates the globe into many individual, evenly spaced, and well-aligned cells to encode location and, thus, can serve as a basis for data cube construction.
Alexander Kmoch +3 more
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An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 With the booming of high-resolution Earth observation and open-data efforts, petabyte-scale Earth observation data have been available for free access. Due to the unprecedented availability of big data deluge, regional to global spatio-temporal analysis ...
Jie Song, Yan Ma, Zhixin Zhang, Peng Liu
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Specifying OLAP cubes on XML data [PDF]
Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jensen, M. R. +2 more
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Data, 2020 Environmental sustainability is nowadays a major global issue that requires efficient and effective responses from governments. Essential variables (EV) have emerged in different scientific communities as a means to characterize and follow environmental ...
Gregory Giuliani +5 more
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Parallelizing the Data Cube [PDF]
, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Susanne E. Hambrusch +3 more
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Reduced Quotient Cube: Maximize Query Answering Capacity in OLAP
IEEE Access, 2021 The data cube is a critical tool for accelerating online analysis in big data. Due to its exponential space overhead, the quotient cube, as the main data cube compression approach, was proposed to significantly reduce the number of data cells if they are
Quankun Wang +5 more
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Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision
Big Earth Data, 2023 The technological landscape for managing big Earth observation (EO) data ranges from global solutions on large cloud infrastructures with web-based access to self-hosted implementations. EO data cubes are a leading technology for facilitating big EO data
Martin Sudmanns +7 more
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3iCubing: An Interval Inverted Index Approach to Data Cubes
IEEE Access, 2022 The increase in the amounts of information used to analyze data is problematic since the memory necessary to store and process it is getting quite big. The interval inverted index representation was developed to reduce the required memory to store data ...
Marco Domingues +2 more
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Multi-Source and Multi-Temporal Image Fusion on Hypercomplex Bases
Remote Sensing, 2020 This article spanned a new, consistent framework for production, archiving, and provision of analysis ready data (ARD) from multi-source and multi-temporal satellite acquisitions and an subsequent image fusion.
Andreas Schmitt +5 more
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Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform
Atmosphere, 2021 The Earth Observation (EO) domain can provide valuable information products that can significantly reduce the cost of mapping flood extent and improve the accuracy of mapping and monitoring systems. In this study, Landsat 5, 7, and 8 were utilized to map
Hamid Mehmood +2 more
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