Topographic Analysis of Landslide Distribution using AW3D30 Data

Landslides cause serious damage to society, and some occur as reactivations of old landslides in response to earthquakes and/or rainfall. Landslide distributions are therefore useful when siting engineering projects such as road and tunnel constructions. Although several methods have been proposed t...

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Main Authors: Atsuko Nonomura, Shuichi Hasegawa, Daisuke Kanbara, Takeo Tadono, Tatsuro Chiba
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/10/4/115
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spelling doaj-a8df4126e7d946e1a22124d4ae1c217a2020-11-25T03:51:09ZengMDPI AGGeosciences2076-32632020-03-0110411510.3390/geosciences10040115geosciences10040115Topographic Analysis of Landslide Distribution using AW3D30 DataAtsuko Nonomura0Shuichi Hasegawa1Daisuke Kanbara2Takeo Tadono3Tatsuro Chiba4Faculty of Engineering and Design, Kagawa University, Takamatsu 7610396, JapanFaculty of Engineering and Design, Kagawa University, Takamatsu 7610396, JapanYonden Consultants Co., Inc., Takamatsu, Kagawa 7610121, JapanJapan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki 3058505, JapanAsia Air Survey Co., Ltd., Kawasaki, Kanagawa 2150004, JapanLandslides cause serious damage to society, and some occur as reactivations of old landslides in response to earthquakes and/or rainfall. Landslide distributions are therefore useful when siting engineering projects such as road and tunnel constructions. Although several methods have been proposed to extract landslides from topographic data on the basis of their morphological features (crown, main scarp, and main body), such morphological features are gradually eroded by heavy precipitation or landslide recurrence. Therefore, conventional methods cannot always identify areas influenced by recurrent landslides. In this study, we investigated the relationship between ridgeline continuity and landslide distribution using AW3D30, which is a global digital surface model (DSM) dataset produced from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS) launched by the Japan Aerospace Exploration Agency (JAXA) in 2013. The relationship between the area of landslides and the number of ridge pixels was analyzed, and we propose a method for estimating the upper bound distribution of landslide topographies based on extracted ridgelines data using the Data Envelopment Analysis (DEA) function on the R statistical software packages. The upper bound on the area of landslides decreases as the number of ridge pixels increases. The same trend was seen in all the five sites, and the upper bound derived from one site is hardly exceeded by those derived from all other sites. By using the upper bound distribution function, the landslide distribution will not be missed.https://www.mdpi.com/2076-3263/10/4/115landslideaw3d30opennessridgelines
collection DOAJ
language English
format Article
sources DOAJ
author Atsuko Nonomura
Shuichi Hasegawa
Daisuke Kanbara
Takeo Tadono
Tatsuro Chiba
spellingShingle Atsuko Nonomura
Shuichi Hasegawa
Daisuke Kanbara
Takeo Tadono
Tatsuro Chiba
Topographic Analysis of Landslide Distribution using AW3D30 Data
Geosciences
landslide
aw3d30
openness
ridgelines
author_facet Atsuko Nonomura
Shuichi Hasegawa
Daisuke Kanbara
Takeo Tadono
Tatsuro Chiba
author_sort Atsuko Nonomura
title Topographic Analysis of Landslide Distribution using AW3D30 Data
title_short Topographic Analysis of Landslide Distribution using AW3D30 Data
title_full Topographic Analysis of Landslide Distribution using AW3D30 Data
title_fullStr Topographic Analysis of Landslide Distribution using AW3D30 Data
title_full_unstemmed Topographic Analysis of Landslide Distribution using AW3D30 Data
title_sort topographic analysis of landslide distribution using aw3d30 data
publisher MDPI AG
series Geosciences
issn 2076-3263
publishDate 2020-03-01
description Landslides cause serious damage to society, and some occur as reactivations of old landslides in response to earthquakes and/or rainfall. Landslide distributions are therefore useful when siting engineering projects such as road and tunnel constructions. Although several methods have been proposed to extract landslides from topographic data on the basis of their morphological features (crown, main scarp, and main body), such morphological features are gradually eroded by heavy precipitation or landslide recurrence. Therefore, conventional methods cannot always identify areas influenced by recurrent landslides. In this study, we investigated the relationship between ridgeline continuity and landslide distribution using AW3D30, which is a global digital surface model (DSM) dataset produced from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS) launched by the Japan Aerospace Exploration Agency (JAXA) in 2013. The relationship between the area of landslides and the number of ridge pixels was analyzed, and we propose a method for estimating the upper bound distribution of landslide topographies based on extracted ridgelines data using the Data Envelopment Analysis (DEA) function on the R statistical software packages. The upper bound on the area of landslides decreases as the number of ridge pixels increases. The same trend was seen in all the five sites, and the upper bound derived from one site is hardly exceeded by those derived from all other sites. By using the upper bound distribution function, the landslide distribution will not be missed.
topic landslide
aw3d30
openness
ridgelines
url https://www.mdpi.com/2076-3263/10/4/115
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