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024 7 $a10.1007/978-981-97-0041-7
035   $a(MiAaPQ)EBC31209904
035   $a(Au-PeEL)EBL31209904
035   $a(DE-He213)978-981-97-0041-7
035   $a(CKB)30898278800041
035   $a(OCoLC)1427517994
035   $a(EXLCZ)9930898278800041
100   $a20240313d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSpace Data Management /$fedited by Agostino Cortesi
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (167 pages)
225 1 $aStudies in Big Data,$x2197-6511 ;$v141
311 08$a9789819700400 
311 08$a981970040X 
327   $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.
330   $aThe book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.
410  0$aStudies in Big Data,$x2197-6511 ;$v141
606   $aComputational intelligence
606   $aSpace
606   $aScience$xSocial aspects
606   $aQuantitative research
606   $aComputational Intelligence
606   $aSpace Studies
606   $aScience and Technology Studies
606   $aData Analysis and Big Data
615  0$aComputational intelligence.
615  0$aSpace.
615  0$aScience$xSocial aspects.
615  0$aQuantitative research.
615 14$aComputational Intelligence.
615 24$aSpace Studies.
615 24$aScience and Technology Studies.
615 24$aData Analysis and Big Data.
676   $a006.3
700   $aCortesi$b Agostino$0550922
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910845093503321
996   $aSpace Data Management$94149335
997   $aUNINA