Results 11 to 20 of about 173,446 (343)
Occurrence cubes: a new paradigm for aggregating species occurrence data [PDF]
, 2020 In this paper we describe a method of aggregating species occurrence data into what we coined “occurrence cubes”. The aggregated data can be perceived as a cube with three dimensions - taxonomic, temporal and geographic - and takes into account the ...
Damiano Oldoni +7 more
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H*-tree/H*-cubing-cubing: Improved Data Cube Structure and Cubing Method for OLAP on Data Stream [PDF]
The KIPS Transactions:PartD, 2009 Data cube plays an important role in multi-dimensional, multi-level data analysis. Meeting on-line analysis requirements of data stream, several cube structures have been proposed for OLAP on data stream, such as stream cube, flowcube, S-cube. Since it is costly to construct data cube and execute ad-hoc OLAP queries, more research works should be done ...
Xiangrui Chen +4 more
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BUILDING EARTH OBSERVATION DATA CUBES ON AWS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Image time series analysis and machine learning methods have been widely used in recent years to extract information from big data of remote sensing images.
K. R. Ferreira +3 more
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SEMANTIC QUERYING IN EARTH OBSERVATION DATA CUBES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Earth observation (EO) data cubes have revolutionized the way large volumes of EO data can be stored, accessed, and processed. However, users coming from application domains outside of traditional EO research still face some significant technical ...
L. van der Meer +4 more
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Frontiers in Earth Science, 2021 Tropical ecosystems experience particularly fast transformations largely as a consequence of land use and climate change. Consequences for ecosystem functioning and services are hard to predict and require analyzing multiple data sets simultaneously ...
Lina M. Estupinan-Suarez +19 more
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Satellite Image Time Series Analysis for Big Earth Observation Data
Remote Sensing, 2021 The development of analytical software for big Earth observation data faces several challenges. Designers need to balance between conflicting factors. Solutions that are efficient for specific hardware architectures can not be used in other environments.
Rolf Simoes +7 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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Cross Table Cubing: Mining Iceberg Cubes from Data Warehouses [PDF]
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005 All of the existing (iceberg) cube computation algorithms assume that the data is stored in a single base table, however, in practice, a data warehouse is often organized in a schema of multiple tables, such as star schema and snowflake schema. In terms of both computation time and space, materializing a universal base table by joining multiple tables ...
Cheung, DWL, Cho, M, Pei, J
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Earth system data cubes unravel global multivariate dynamics [PDF]
Earth System Dynamics, 2020 Understanding Earth system dynamics in light of ongoing human intervention and dependency remains a major scientific challenge. The unprecedented availability of data streams describing different facets of the Earth now offers fundamentally new avenues ...
M. D. Mahecha +29 more
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Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products
Remote Sensing, 2020 Recently, remote sensing image time series analysis has being widely used to investigate the dynamics of environments over time. Many studies have combined image time series analysis with machine learning methods to improve land use and cover change ...
Karine R. Ferreira +20 more
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