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  GeoMultiSens : Scalable Multi-Sensor Analysis Platform for Remote Sensing Data

Sips, M., Dransch, D., Eggert, D., Freytag, J.-C., Hollstein, A., Hostert, P., Peters, M., Pflugmacher, D., Rabe, A., Reinefeld, A., Scheffler, D., Schintke, F., Segl, K., Seibert, F., Taeschner, J.(2018): GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data, Potsdam : GFZ German Research Centre for Geosciences.
https://doi.org/10.5880/GFZ.1.5.2018.005

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3615904 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3615904_5
Genre: Software

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Locator:
http://dx.doi.org/10.2314/GBV:1028376081 (Supplementary material)
Description:
Supplement to Sips, M. et al (2018)

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 Creators:
Sips, M.1, Author              
Dransch, D.1, Author              
Eggert, Daniel1, Author              
Freytag, Johann-Christoph2, Author
Hollstein, Andre3, Author              
Hostert, Patrick2, Author
Peters, Mathias2, Author
Pflugmacher, Dirk2, Author
Rabe, Andreas2, Author
Reinefeld, Alexander2, Author
Scheffler, D.3, Author              
Schintke, Florian2, Author
Segl, K.3, Author              
Seibert, Felix2, Author
Taeschner, Jochen1, Author              
Affiliations:
11.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_224064              
2External Organizations, ou_persistent22              
31.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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Free keywords: remote sensing, satellite data, visualilsation
 Abstract: GeoMultiSens developed an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives. The processing pipeline has five main components: (1) visual assessment of remote sensing Earth observations, (2) homogenization of selected Earth observation, (3) efficient data management with XtreemFS, (4) Python-based parallel processing and analysis algorithms implemented in a Flink cloud environment, and (5) visual exploration of the results. GeoMultiSens currently supports the classification of land-cover for Europe.

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Language(s): eng - English
 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ German Research Centre for Geosciences, V. 1.0.0
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.1.5.2018.005
GFZPOF: p3 PT1 Global Processes
 Degree: -

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