Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments
The determination of mapping units, including grid, slope, unique condition, administrative division, and watershed units, is a very important modeling basis for landslide assessments. Among these mapping units, the slope unit has been paid a lot of attention because it can effectively reflect the p...
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description | The determination of mapping units, including grid, slope, unique condition, administrative division, and watershed units, is a very important modeling basis for landslide assessments. Among these mapping units, the slope unit has been paid a lot of attention because it can effectively reflect the physical relationships between landslides and the fundamental topographic elements especially in mountainous areas. Although some methods have been proposed for slope unit extraction, effectively and automatically extracting slope units remains a difficult and urgent problem that seriously restricts the use of slope units. To overcome this problem, the innovative multi-scale segmentation (MSS) method is proposed for extracting slope units. Thus, first, the terrain aspect and shaded relief images obtained from the digital elevation model with certain weights are used as the data sources of the MSS method. Second, the scale, shape, and compactness parameters of the MSS method are properly determined according to the improved trial-and-error method. Third, the initial slope units generated by the MSS method with appropriate parameters are automatically optimized through vector analysis in GIS. Finally, reasonable slope units are obtained and the extraction performance is discussed. The Chongyi County and Wanzhou District in China are selected as study areas. The conventional hydrological method is also adopted to extract slope units for qualitative and quantitative comparisons. It can be concluded that the MSS method can accurately and automatically extract the slope units for landslide assessments in hilly and mountainous areas and performs better than the hydrological method. |
doi_str_mv | 10.1007/s10346-021-01756-9 |
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Among these mapping units, the slope unit has been paid a lot of attention because it can effectively reflect the physical relationships between landslides and the fundamental topographic elements especially in mountainous areas. Although some methods have been proposed for slope unit extraction, effectively and automatically extracting slope units remains a difficult and urgent problem that seriously restricts the use of slope units. To overcome this problem, the innovative multi-scale segmentation (MSS) method is proposed for extracting slope units. Thus, first, the terrain aspect and shaded relief images obtained from the digital elevation model with certain weights are used as the data sources of the MSS method. Second, the scale, shape, and compactness parameters of the MSS method are properly determined according to the improved trial-and-error method. Third, the initial slope units generated by the MSS method with appropriate parameters are automatically optimized through vector analysis in GIS. Finally, reasonable slope units are obtained and the extraction performance is discussed. The Chongyi County and Wanzhou District in China are selected as study areas. The conventional hydrological method is also adopted to extract slope units for qualitative and quantitative comparisons. It can be concluded that the MSS method can accurately and automatically extract the slope units for landslide assessments in hilly and mountainous areas and performs better than the hydrological method.</description><identifier>ISSN: 1612-510X</identifier><identifier>EISSN: 1612-5118</identifier><identifier>DOI: 10.1007/s10346-021-01756-9</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Assessments ; Civil Engineering ; Digital Elevation Models ; Digital imaging ; Earth and Environmental Science ; Earth Sciences ; Geographical information systems ; Geography ; Hydrologic studies ; Hydrology ; Image segmentation ; Landslides ; Landslides & mudslides ; Mapping ; Mountain regions ; Mountainous areas ; Mountains ; Natural Hazards ; Parameters ; Slopes ; Technical Note ; Trial and error methods ; Vector analysis ; Watersheds</subject><ispartof>Landslides, 2021-11, Vol.18 (11), p.3715-3731</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-32fe9daea3459be58c5d38f0d78f88f7ff20decd69fc28726089cf520b21ddc73</citedby><cites>FETCH-LOGICAL-a342t-32fe9daea3459be58c5d38f0d78f88f7ff20decd69fc28726089cf520b21ddc73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10346-021-01756-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10346-021-01756-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Huang, Faming</creatorcontrib><creatorcontrib>Tao, Siyu</creatorcontrib><creatorcontrib>Chang, Zhilu</creatorcontrib><creatorcontrib>Huang, Jinsong</creatorcontrib><creatorcontrib>Fan, Xuanmei</creatorcontrib><creatorcontrib>Jiang, Shui-Hua</creatorcontrib><creatorcontrib>Li, Wenbin</creatorcontrib><title>Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments</title><title>Landslides</title><addtitle>Landslides</addtitle><description>The determination of mapping units, including grid, slope, unique condition, administrative division, and watershed units, is a very important modeling basis for landslide assessments. Among these mapping units, the slope unit has been paid a lot of attention because it can effectively reflect the physical relationships between landslides and the fundamental topographic elements especially in mountainous areas. Although some methods have been proposed for slope unit extraction, effectively and automatically extracting slope units remains a difficult and urgent problem that seriously restricts the use of slope units. To overcome this problem, the innovative multi-scale segmentation (MSS) method is proposed for extracting slope units. Thus, first, the terrain aspect and shaded relief images obtained from the digital elevation model with certain weights are used as the data sources of the MSS method. Second, the scale, shape, and compactness parameters of the MSS method are properly determined according to the improved trial-and-error method. Third, the initial slope units generated by the MSS method with appropriate parameters are automatically optimized through vector analysis in GIS. Finally, reasonable slope units are obtained and the extraction performance is discussed. The Chongyi County and Wanzhou District in China are selected as study areas. The conventional hydrological method is also adopted to extract slope units for qualitative and quantitative comparisons. 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Tao, Siyu ; Chang, Zhilu ; Huang, Jinsong ; Fan, Xuanmei ; Jiang, Shui-Hua ; Li, Wenbin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a342t-32fe9daea3459be58c5d38f0d78f88f7ff20decd69fc28726089cf520b21ddc73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agriculture</topic><topic>Assessments</topic><topic>Civil Engineering</topic><topic>Digital Elevation Models</topic><topic>Digital imaging</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Geographical information systems</topic><topic>Geography</topic><topic>Hydrologic studies</topic><topic>Hydrology</topic><topic>Image segmentation</topic><topic>Landslides</topic><topic>Landslides & mudslides</topic><topic>Mapping</topic><topic>Mountain regions</topic><topic>Mountainous areas</topic><topic>Mountains</topic><topic>Natural Hazards</topic><topic>Parameters</topic><topic>Slopes</topic><topic>Technical Note</topic><topic>Trial and error methods</topic><topic>Vector analysis</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Faming</creatorcontrib><creatorcontrib>Tao, Siyu</creatorcontrib><creatorcontrib>Chang, Zhilu</creatorcontrib><creatorcontrib>Huang, Jinsong</creatorcontrib><creatorcontrib>Fan, Xuanmei</creatorcontrib><creatorcontrib>Jiang, Shui-Hua</creatorcontrib><creatorcontrib>Li, Wenbin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Landslides</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Faming</au><au>Tao, Siyu</au><au>Chang, Zhilu</au><au>Huang, Jinsong</au><au>Fan, Xuanmei</au><au>Jiang, Shui-Hua</au><au>Li, Wenbin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments</atitle><jtitle>Landslides</jtitle><stitle>Landslides</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>18</volume><issue>11</issue><spage>3715</spage><epage>3731</epage><pages>3715-3731</pages><issn>1612-510X</issn><eissn>1612-5118</eissn><abstract>The determination of mapping units, including grid, slope, unique condition, administrative division, and watershed units, is a very important modeling basis for landslide assessments. Among these mapping units, the slope unit has been paid a lot of attention because it can effectively reflect the physical relationships between landslides and the fundamental topographic elements especially in mountainous areas. Although some methods have been proposed for slope unit extraction, effectively and automatically extracting slope units remains a difficult and urgent problem that seriously restricts the use of slope units. To overcome this problem, the innovative multi-scale segmentation (MSS) method is proposed for extracting slope units. Thus, first, the terrain aspect and shaded relief images obtained from the digital elevation model with certain weights are used as the data sources of the MSS method. Second, the scale, shape, and compactness parameters of the MSS method are properly determined according to the improved trial-and-error method. Third, the initial slope units generated by the MSS method with appropriate parameters are automatically optimized through vector analysis in GIS. Finally, reasonable slope units are obtained and the extraction performance is discussed. The Chongyi County and Wanzhou District in China are selected as study areas. The conventional hydrological method is also adopted to extract slope units for qualitative and quantitative comparisons. It can be concluded that the MSS method can accurately and automatically extract the slope units for landslide assessments in hilly and mountainous areas and performs better than the hydrological method.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10346-021-01756-9</doi><tpages>17</tpages></addata></record> |
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subjects | Agriculture Assessments Civil Engineering Digital Elevation Models Digital imaging Earth and Environmental Science Earth Sciences Geographical information systems Geography Hydrologic studies Hydrology Image segmentation Landslides Landslides & mudslides Mapping Mountain regions Mountainous areas Mountains Natural Hazards Parameters Slopes Technical Note Trial and error methods Vector analysis Watersheds |
title | Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments |
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