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Towards intelligent geo-database support for earth system observation: Improving the preparation and analysis of big spatio-temporal raster data

Mazroob Semnani, N. 1; Breunig, M. 1; Al-Doori, M.; Heck, A. 1; Kuper, P. 1; Kutterer, H. 1
1 Geodätisches Institut (GIK), Karlsruher Institut für Technologie (KIT)


The European COPERNICUS program provides an unprecedented breakthrough in the broad use and application of satellite remote sensing data. Maintained on a sustainable basis, the COPERNICUS system is operated on a free-and-open data policy. Its guaranteed availability in the long term attracts a broader community to remote sensing applications. In general, the increasing amount of satellite remote sensing data opens the door to the diverse and advanced analysis of this data for earth system science.

However, the preparation of the data for dedicated processing is still inefficient as it requires time-consuming operator interaction based on advanced technical skills. Thus, the involved scientists have to spend significant parts of the available project budget rather on data preparation than on science. In addition, the analysis of the rich content of the remote sensing data requires new concepts for better extraction of promising structures and signals as an effective basis for further analysis.

In this paper we propose approaches to improve the preparation of satellite remote sensing data by a geo-database. Thus the time needed and the errors possibly introduced by human interaction are minimized. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000125392
Veröffentlicht am 28.10.2020
DOI: 10.5194/isprs-archives-XLIII-B4-2020-485-2020
Zitationen: 2
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1682-1750
KITopen-ID: 1000125392
Erschienen in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2020, 2020. XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis
Verlag ISPRS
Seiten 485-492
Serie The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 43
Schlagwörter Spatio-Temporal Data Management, Spatio-Temporal Data Processing, Big Geospatial Raster Data, Intelligent Geospatial Data Analysis
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