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

Julieber T. Bersabe; Byong-Woon Jun

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

Julieber T. Bersabe
, Byong-Woon Jun

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

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Flood Susceptibility
Machine Learning
Random Forest
Support Vector Machine
Logistic

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 = "Bersabe, \{Julieber T.\} 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 T.; 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 T.

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

UN SDGs

Keywords

Fingerprint

Cite this