UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

Standard

UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features. / Trepekli, Katerina; Friborg, Thomas; Balstrøm, Thomas; Fog, Bjarne; Allotey, Albert; Kofie, Richard Yao; Møller-Jensen, Lasse.

2021. Abstract fra EGU General Assembly 2021.

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

Harvard

Trepekli, K, Friborg, T, Balstrøm, T, Fog, B, Allotey, A, Kofie, RY & Møller-Jensen, L 2021, 'UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features', EGU General Assembly 2021, 19/04/2021 - 30/04/2021. https://doi.org/10.5194/egusphere-egu21-10457

APA

Trepekli, K., Friborg, T., Balstrøm, T., Fog, B., Allotey, A., Kofie, R. Y., & Møller-Jensen, L. (2021). UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features. Abstract fra EGU General Assembly 2021. https://doi.org/10.5194/egusphere-egu21-10457

Vancouver

Trepekli K, Friborg T, Balstrøm T, Fog B, Allotey A, Kofie RY o.a.. UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features. 2021. Abstract fra EGU General Assembly 2021. https://doi.org/10.5194/egusphere-egu21-10457

Author

Trepekli, Katerina ; Friborg, Thomas ; Balstrøm, Thomas ; Fog, Bjarne ; Allotey, Albert ; Kofie, Richard Yao ; Møller-Jensen, Lasse. / UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features. Abstract fra EGU General Assembly 2021.1 s.

Bibtex

@conference{445ae0f8e786449885b6aeeba19d29aa,
title = "UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features",
author = "Katerina Trepekli and Thomas Friborg and Thomas Balstr{\o}m and Bjarne Fog and Albert Allotey and Kofie, {Richard Yao} and Lasse M{\o}ller-Jensen",
year = "2021",
doi = "10.5194/egusphere-egu21-10457",
language = "English",
note = "EGU General Assembly 2021 : Online ; Conference date: 19-04-2021 Through 30-04-2021",

}

RIS

TY - ABST

T1 - UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features

AU - Trepekli, Katerina

AU - Friborg, Thomas

AU - Balstrøm, Thomas

AU - Fog, Bjarne

AU - Allotey, Albert

AU - Kofie, Richard Yao

AU - Møller-Jensen, Lasse

PY - 2021

Y1 - 2021

U2 - 10.5194/egusphere-egu21-10457

DO - 10.5194/egusphere-egu21-10457

M3 - Conference abstract for conference

T2 - EGU General Assembly 2021

Y2 - 19 April 2021 through 30 April 2021

ER -

ID: 336601768