Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea

Julieber Bersabe; Byong-Woon Jun

Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea

Department of Geography

Kyungpook National University

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	1
Number of pages	5
State	Published - 28 Oct 2023
Event	The 32nd Annual Conference of the Geographic Information System Association (GISA) of Japan / International Association of Geo-informatics (IAG'i) 2023 - Tokyo, Japan Duration: 29 Oct 2023 → 30 Oct 2023

Conference

Conference	The 32nd Annual Conference of the Geographic Information System Association (GISA) of Japan / International Association of Geo-informatics (IAG'i) 2023
Country/Territory	Japan
City	Tokyo
Period	29/10/23 → 30/10/23

Keywords

Flood Susceptibility
Machine Learning
Random Forest
Support Vector Machine
Logistic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{213b539ee2c6485a8f6e2beb3f6aec35,

title = "Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea",

keywords = "Flood Susceptibility, Machine Learning, Random Forest, Support Vector Machine, Logistic",

author = "Julieber Bersabe and Byong-Woon Jun",

year = "2023",

month = oct,

day = "28",

language = "English",

pages = "1",

note = "The 32nd Annual Conference of the Geographic Information System Association (GISA) of Japan / International Association of Geo-informatics (IAG'i) 2023 ; Conference date: 29-10-2023 Through 30-10-2023",

}

Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea. / Bersabe, Julieber; Jun, Byong-Woon.
2023. 1 Paper presented at The 32nd Annual Conference of the Geographic Information System Association (GISA) of Japan / International Association of Geo-informatics (IAG'i) 2023, Tokyo, Japan.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea

AU - Bersabe, Julieber

AU - Jun, Byong-Woon

PY - 2023/10/28

Y1 - 2023/10/28

KW - Flood Susceptibility

KW - Machine Learning

KW - Random Forest

KW - Support Vector Machine

KW - Logistic

M3 - Paper

SP - 1

T2 - The 32nd Annual Conference of the Geographic Information System Association (GISA) of Japan / International Association of Geo-informatics (IAG'i) 2023

Y2 - 29 October 2023 through 30 October 2023

ER -

Assessing Urban Flood Susceptibility Maps Based on Machine Learning Models in Seoul, South Korea

Conference

Keywords

UN SDGs

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Cite this