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Ecodatacube.eu: analysis-ready open environmental data cube for Europe [PDF]
The article describes the production steps and accuracy assessment of an analysis-ready, open-access European data cube consisting of 2000–2020+ Landsat data, 2017–2021+ Sentinel-2 data and a 30 m resolution digital terrain model (DTM).
Martijn Witjes +4 more
doaj +3 more sources
FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis [PDF]
Motivation We are witnessing an enormous growth in the amount of molecular profiling (-omics) data. The integration of multi-omics data is challenging. Moreover, human multi-omics data may be privacy-sensitive and can be misused to de-anonymize and (re ...
Xiaofeng Liao +13 more
doaj +2 more sources
High-resolution greenspace dynamic data cube from Sentinel-2 satellites over 1028 global major cities. [PDF]
Wu S, Song Y, An J, Lin C, Chen B.
europepmc +3 more sources
The Environmental Data Portal EnviDat aims to fuse data publication repository functionalities with next-generation web-based environmental geospatial information systems (web-EGIS) and Earth Observation (EO) data cube functionalities.
Ionuț Iosifescu Enescu +11 more
doaj +1 more source
Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications
The potential to perform spatiotemporal analysis of the Earth's surface, fostered by a large amount of Earth Observation (EO) open data provided by space agencies, brings new perspectives to create innovative applications.
Felipe Menino Carlos +5 more
doaj +1 more source
Mapping and Monitoring the Multi-Decadal Dynamics of Australia’s Open Waterbodies Using Landsat
Water detection algorithms are now being routinely applied to continental and global archives of satellite imagery. However, water resource management decisions typically take place at the waterbody rather than pixel scale.
Claire E. Krause +3 more
doaj +1 more source
SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
Environmental scientific research is highly becoming data-driven and dependent on high performance computing infrastructures to process ever increasing large volume and diverse data sets.
Gregory Giuliani +5 more
doaj +1 more source
An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data
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
doaj +1 more source
Area and shape distortions in open-source discrete global grid systems
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
doaj +1 more source
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
doaj +1 more source

