A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
München
2022
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| Subjects: | |
| Online Access: | Volltext Volltext |
| Physical Description: | x, 164 Seiten Illustrationen, Diagramme |
| DOI: | 10.5282/edoc.29799 |
Staff View
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| spelling | Piontek, Dennis 1991- Verfasser (DE-588)1256730742 aut A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability Dennis Piontek München 2022 x, 164 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation München, Ludwig-Maximilians-Universität 2022 4\p Machine learning (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 lcsh 3\p Eyjafjallajökull (DE-588)7728264-4 gnd (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:19-297995 10.5282/edoc.29799 https://doi.org/10.5282/edoc.29799 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:19-297995 Resolving-System kostenfrei Volltext 1\p aepkn 0,76620 20220510 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99065 20220510 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p aepgnd 0,00210 20220510 DE-101 https://d-nb.info/provenance/plan#aepgnd 4\p aeplcsh 0,00893 20220510 DE-101 https://d-nb.info/provenance/plan#aeplcsh |
| spellingShingle | Piontek, Dennis 1991- A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability 4\p Machine learning (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 lcsh |
| subject_GND | (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 (DE-588)7728264-4 (DE-588)4113937-9 |
| title | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability |
| title_auth | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability |
| title_exact_search | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability |
| title_exact_search_txtP | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability |
| title_full | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability Dennis Piontek |
| title_fullStr | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability Dennis Piontek |
| title_full_unstemmed | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability Dennis Piontek |
| title_short | A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability |
| title_sort | a novel machine learning based satellite retrieval of volcanic ash for meteosat covering the petrological variability |
| topic | 4\p Machine learning (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 lcsh |
| topic_facet | Machine learning Eyjafjallajökull Hochschulschrift |
| url | https://doi.org/10.5282/edoc.29799 https://nbn-resolving.org/urn:nbn:de:bvb:19-297995 |
| work_keys_str_mv | AT piontekdennis anovelmachinelearningbasedsatelliteretrievalofvolcanicashformeteosatcoveringthepetrologicalvariability |