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020 _a9789819700417
_9978-981-97-0041-7
024 7 _a10.1007/978-981-97-0041-7
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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245 1 0 _aSpace Data Management
_h[electronic resource] /
_cedited by Agostino Cortesi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXI, 162 p. 48 illus., 42 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v141
505 0 _aDigital Innovation in Space Science -- Legal regimes for Space data -- Regulating space data management -- High Performance Computing, AI, the Metaverse and quantum computing to transform space data management -- AI applications of Space Data -- Blockchain-enabled Satellite Onboard Computing for Smart Contract: Benefits for Multi-sided Markets and IoT Applications -- On the use of available space monitoring data for improving the risk of collision avoidance -- Optimising collection, transmission and transformation of space data to take up security challenges -- A Fragile Watermarking Approach for Earth Observation Data Integrity Protection -- Deepness: Deep Neural Remote Sensing QGIS Plugin -- Earth Observation Data Transfer at Limitations of Small Satellite Missions -- Earth Observation Data Management and Offer: the experience of the ARIC -- Using satellite data to estimate NO2 concentrations in mainland UK from 2005 to 2021 -- Integration of Terrestrial and Non-Terrestrial Networks: challenges and perspectives within the RESTAR project -- Estimate the ice volume of Earth’s glaciers with deep learning and remote sensing -- Can life exist without water? A data driven approach.
520 _aThe book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.
650 0 _aComputational intelligence.
_964052
650 0 _aSpace.
_970200
650 0 _aScience
_xSocial aspects.
_969032
650 0 _aQuantitative research.
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aSpace Studies.
_972956
650 2 4 _aScience and Technology Studies.
_969033
650 2 4 _aData Analysis and Big Data.
700 1 _aCortesi, Agostino.
_eeditor.
_0(orcid)0000-0002-0946-5440
_1https://orcid.org/0000-0002-0946-5440
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_972957
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819700400
776 0 8 _iPrinted edition:
_z9789819700424
776 0 8 _iPrinted edition:
_z9789819700431
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v141
_968724
856 4 0 _uhttps://doi.org/10.1007/978-981-97-0041-7
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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