Krzepek, Katrin ; Rudolf, Michael ; Homuth, Benjamin ; Henk, Andreas ; Iwaszczuk, Dorota (2023)
Raster Representation of Ground Motion Service Data and Automated Hot-Spot Detection.
2023 Joint Urban Remote Sensing Event (JURSE). Heraklion, Greece (17.05.2023 - 19.05.2023)
doi: 10.1109/JURSE57346.2023.10144217
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The Ground Motion Service Germany (BBD) and the European Ground Motion Service (EGMS) as WebGIS (Web Geographic Information System) applications provide an excellent database and tools to analyse ground motions and study the underlying processes. The ground motion information of these services is currently visualized as point data. To increase the usability of these data, we investigate a raster representation as a suitable representation form. Additionally, we present a tool to automatically detect large-scale ground motion hot-spots. In order to be able to analyse the cause of motion, we look at the data for individual areas as time series. This should help to illustrate situations and support decision makers in a political context.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2023 |
Autor(en): | Krzepek, Katrin ; Rudolf, Michael ; Homuth, Benjamin ; Henk, Andreas ; Iwaszczuk, Dorota |
Art des Eintrags: | Bibliographie |
Titel: | Raster Representation of Ground Motion Service Data and Automated Hot-Spot Detection |
Sprache: | Englisch |
Publikationsjahr: | 2023 |
Ort: | Heraklion, Greece |
Verlag: | IEEE |
Buchtitel: | 2023 Joint Urban Remote Sensing Event (JURSE) |
Kollation: | 4 Seiten |
Veranstaltungstitel: | 2023 Joint Urban Remote Sensing Event (JURSE) |
Veranstaltungsort: | Heraklion, Greece |
Veranstaltungsdatum: | 17.05.2023 - 19.05.2023 |
DOI: | 10.1109/JURSE57346.2023.10144217 |
Kurzbeschreibung (Abstract): | The Ground Motion Service Germany (BBD) and the European Ground Motion Service (EGMS) as WebGIS (Web Geographic Information System) applications provide an excellent database and tools to analyse ground motions and study the underlying processes. The ground motion information of these services is currently visualized as point data. To increase the usability of these data, we investigate a raster representation as a suitable representation form. Additionally, we present a tool to automatically detect large-scale ground motion hot-spots. In order to be able to analyse the cause of motion, we look at the data for individual areas as time series. This should help to illustrate situations and support decision makers in a political context. |
Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Ingenieurgeologie 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Fernerkundung und Bildanalyse |
Hinterlegungsdatum: | 04 Jul 2024 11:41 |
Letzte Änderung: | 04 Jul 2024 11:41 |
PPN: | 519579739 |
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