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Raster Representation of Ground Motion Service Data and Automated Hot-Spot Detection

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
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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