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1 Ergebnisse
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Applying deep learning to NASA MODIS data to create a commu..:
Yuan, Tianle
;
Song, Hua
;
Wood, Robert
...
Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548. , 2020
Link:
https://doi.org/10.5194/amt-13-6989-2020
RT Journal T1 <Title>Applying deep learning to NASA MODIS data to create a community record of marine low-cloud mesoscale morphology</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055005&Exemplar=1&LAN=DE A1 Yuan, Tianle A1 Song, Hua A1 Wood, Robert A1 Mohrmann, Johannes A1 Meyer, Kerry A1 Oreopoulos, Lazaros A1 Platnick, Steven PB Copernicus Publications YR 2020 K1 article K1 Verlagsveröffentlichung JF Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 LK http://dx.doi.org/https://doi.org/10.5194/amt-13-6989-2020 DO https://doi.org/10.5194/amt-13-6989-2020 SF ELIB - SuUB Bremen
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