Articles | Volume 24, issue 2
https://doi.org/10.5194/nhess-24-539-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-539-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Feb 2024
Research article |
| 15 Feb 2024
| 15 Feb 2024
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
Laurence Hawker
CORRESPONDING AUTHOR
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Jeffrey Neal
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
James Savage
Fathom, Bristol, BS8 1EJ, UK
Thomas Kirkpatrick
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Rachel Lord
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Yanos Zylberberg
School of Economics, University of Bristol, Bristol, BS8 1TU, UK
Andre Groeger
Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193, Spain
Barcelona School of Economics (BSE), Barcelona, 08005, Spain
Truong Dang Thuy
School of Economics, University of Economics Ho Chi Minh city, Ho Chi Minh city, 700000, Vietnam
Sean Fox
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Felix Agyemang
Department Planning and Environmental Management, University of Manchester, Manchester, M13 9PL, UK
Pham Khanh Nam
School of Economics, University of Economics Ho Chi Minh city, Ho Chi Minh city, 700000, Vietnam
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Short summary
We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
We present a global flood model built using a new terrain data set and evaluated in the Central...
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