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The Swiss data cube, analysis ready data archive using earth observations of Switzerland
- Source :
- Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021), Scientific data, Vol. 8 (2021) P. 295, Scientific Data
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Since the opening of Earth Observation (EO) archives (USGS/NASA Landsat and EC/ESA Sentinels), large collections of EO data are freely available, offering scientists new possibilities to better understand and quantify environmental changes. Fully exploiting these satellite EO data will require new approaches for their acquisition, management, distribution, and analysis. Given rapid environmental changes and the emergence of big data, innovative solutions are needed to support policy frameworks and related actions toward sustainable development. Here we present the Swiss Data Cube (SDC), unleashing the information power of Big Earth Data for monitoring the environment, providing Analysis Ready Data over the geographic extent of Switzerland since 1984, which is updated on a daily basis. Based on a cloud-computing platform allowing to access, visualize and analyse optical (Sentinel-2; Landsat 5, 7, 8) and radar (Sentinel-1) imagery, the SDC minimizes the time and knowledge required for environmental analyses, by offering consistent calibrated and spatially co-registered satellite observations. SDC derived analysis ready data supports generation of environmental information, allowing to inform a variety of environmental policies with unprecedented timeliness and quality.<br />Measurement(s)surface reflectance • backscatterTechnology Type(s)satellite imagingSample Characteristic - LocationSwitzerland Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14635485
- Subjects :
- Statistics and Probability
Data Descriptor
Earth observation
Computer science
Science
Big data
Earth Observations
Library and Information Sciences
1710 Information Systems
law.invention
Education
Data cube
law
Information system
1706 Computer Science Applications
1804 Statistics, Probability and Uncertainty
Radar
910 Geography & travel
2613 Statistics and Probability
ddc:333.7-333.9
Sustainable development
business.industry
Statistics
Data science
Research data
Variety (cybernetics)
Computer Science Applications
Environmental sciences
10122 Institute of Geography
Sentinel-1
Satellite
Probability and Uncertainty
Swiss Data Cube
3309 Library and Information Sciences
Sentinel-2
Statistics, Probability and Uncertainty
business
Landsat
Switzerland
3304 Education
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....5c4efbd575f98185283c9c56653f2b7d
- Full Text :
- https://doi.org/10.1038/s41597-021-01076-6