End-to-end prediction of lightning events from geostationary satellite images
| dc.contributor.author | Brodehl, Sebastian | |
| dc.contributor.author | Müller, Richard | |
| dc.contributor.author | Schömer, Elmar | |
| dc.contributor.author | Spichtinger, Peter | |
| dc.contributor.author | Wand, Michael | |
| dc.date.accessioned | 2024-07-30T07:42:00Z | |
| dc.date.available | 2024-07-30T07:42:00Z | |
| dc.date.issued | 2022 | |
| dc.date.updated | 2024-07-23T12:45:55Z | |
| dc.identifier.doi | http://doi.org/10.25358/openscience-10555 | |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/10573 | |
| dc.language.iso | eng | de |
| dc.rights | CC-BY-4.0 | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.ddc | 004 Informatik | de_DE |
| dc.subject.ddc | 004 Data processing | en_GB |
| dc.subject.ddc | 550 Geowissenschaften | de_DE |
| dc.subject.ddc | 550 Earth sciences | en_GB |
| dc.title | End-to-end prediction of lightning events from geostationary satellite images | en_GB |
| dc.type | Zeitschriftenaufsatz | de |
| elements.object.id | 149020 | |
| elements.object.labels | neural networks | |
| elements.object.labels | satellite images | |
| elements.object.labels | class imbalance | |
| elements.object.labels | feature attribution | |
| elements.object.labels | lightning prediction | |
| elements.object.labels | nowcasting | |
| elements.object.labels | short-term forecasts | |
| elements.object.labels | machine learning | |
| elements.object.labels | meteorology | |
| elements.object.labels | 0203 Classical Physics | |
| elements.object.labels | 0406 Physical Geography and Environmental Geoscience | |
| elements.object.labels | 0909 Geomatic Engineering | |
| elements.object.labels | 3701 Atmospheric sciences | |
| elements.object.labels | 3709 Physical geography and environmental geoscience | |
| elements.object.labels | 4013 Geomatic engineering | |
| elements.object.type | journal-article | |
| jgu.journal.issue | 15 | de |
| jgu.journal.title | Remote sensing | de |
| jgu.journal.volume | 14 | de |
| jgu.organisation.department | FB 08 Physik, Mathematik u. Informatik | de |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | |
| jgu.organisation.number | 7940 | |
| jgu.organisation.place | Mainz | |
| jgu.organisation.ror | https://ror.org/023b0x485 | |
| jgu.pages.alternative | 3760 | de |
| jgu.publisher.doi | 10.3390/rs14153760 | de |
| jgu.publisher.issn | 2072-4292 | de |
| jgu.publisher.name | MDPI | de |
| jgu.publisher.place | Basel | de |
| jgu.publisher.uri | http://doi.org/10.3390/rs14153760 | de |
| jgu.publisher.year | 2022 | |
| jgu.rights.accessrights | openAccess | |
| jgu.subject.ddccode | 004 | de |
| jgu.subject.ddccode | 550 | de |
| jgu.type.dinitype | Article | en_GB |
| jgu.type.resource | Text | de |
| jgu.type.version | Published version | de |
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