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DEM-based slope unit derivation
This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a...
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| creator | Chenchao Xiao Yuan Tian Ting Li Zhifang Gao |
| description | This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors including slope gradient, slope aspect and curvature, is designed within multi-scale OBIA framework. The method to determine the optimum segmentation scale by COLV is also introduced. A case study of Shenzhen is carried out to verify the feasibility and accuracy of the designed procedure. The results of the case study shows that when the scale parameter is 20, the derived slope units remarkably denote the detailed landform structure and the bounds of the derived units are largely consistent to the concave and convex terrain bounds. |
| doi_str_mv | 10.1109/Geoinformatics.2013.6626065 |
| format | conference_proceeding |
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A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors including slope gradient, slope aspect and curvature, is designed within multi-scale OBIA framework. The method to determine the optimum segmentation scale by COLV is also introduced. A case study of Shenzhen is carried out to verify the feasibility and accuracy of the designed procedure. The results of the case study shows that when the scale parameter is 20, the derived slope units remarkably denote the detailed landform structure and the bounds of the derived units are largely consistent to the concave and convex terrain bounds.</description><identifier>ISSN: 2161-024X</identifier><identifier>EISBN: 146736228X</identifier><identifier>EISBN: 9781467362283</identifier><identifier>DOI: 10.1109/Geoinformatics.2013.6626065</identifier><language>eng</language><publisher>IEEE</publisher><subject>DEM ; Geographic information systems ; GIS ; Image analysis ; Image segmentation ; object-based image analysis ; Remote sensing ; slope unit ; Surface topography ; Surface treatment ; Terrain factors</subject><ispartof>2013 21st International Conference on Geoinformatics, 2013, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6626065$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6626065$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chenchao Xiao</creatorcontrib><creatorcontrib>Yuan Tian</creatorcontrib><creatorcontrib>Ting Li</creatorcontrib><creatorcontrib>Zhifang Gao</creatorcontrib><title>DEM-based slope unit derivation</title><title>2013 21st International Conference on Geoinformatics</title><addtitle>Geoinformatics</addtitle><description>This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors including slope gradient, slope aspect and curvature, is designed within multi-scale OBIA framework. The method to determine the optimum segmentation scale by COLV is also introduced. A case study of Shenzhen is carried out to verify the feasibility and accuracy of the designed procedure. The results of the case study shows that when the scale parameter is 20, the derived slope units remarkably denote the detailed landform structure and the bounds of the derived units are largely consistent to the concave and convex terrain bounds.</description><subject>DEM</subject><subject>Geographic information systems</subject><subject>GIS</subject><subject>Image analysis</subject><subject>Image segmentation</subject><subject>object-based image analysis</subject><subject>Remote sensing</subject><subject>slope unit</subject><subject>Surface topography</subject><subject>Surface treatment</subject><subject>Terrain factors</subject><issn>2161-024X</issn><isbn>146736228X</isbn><isbn>9781467362283</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8FKw0AQQFdQsNZ-gQcDnjfO7GZn6lFqrULFi0JvZZPMwEqblGwU_HsL9vRuj_eMuUMoEeHhfiV96rQf9nFMTS4doC-JHAGFM3OFFbEn5-abczNxSGjBVZtLM8v5CwCQiZF5Ym6flm-2jlnaIu_6gxTfXRqLVob0c_T23bW50LjLMjtxaj6flx-LF7t-X70uHtc2IYfRsognqZiVXFMHXzMHp8qhFWhjOMYQUhNBoVJVCI55zi5EbQJKU0c_NTf_3iQi28OQ9nH43Z5-_B-c1kIM</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Chenchao Xiao</creator><creator>Yuan Tian</creator><creator>Ting Li</creator><creator>Zhifang Gao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20130101</creationdate><title>DEM-based slope unit derivation</title><author>Chenchao Xiao ; Yuan Tian ; Ting Li ; Zhifang Gao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7ee36e477f62cb53b7752ff75de0da5467616ca0f04fff052778725afc51ecba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>DEM</topic><topic>Geographic information systems</topic><topic>GIS</topic><topic>Image analysis</topic><topic>Image segmentation</topic><topic>object-based image analysis</topic><topic>Remote sensing</topic><topic>slope unit</topic><topic>Surface topography</topic><topic>Surface treatment</topic><topic>Terrain factors</topic><toplevel>online_resources</toplevel><creatorcontrib>Chenchao Xiao</creatorcontrib><creatorcontrib>Yuan Tian</creatorcontrib><creatorcontrib>Ting Li</creatorcontrib><creatorcontrib>Zhifang Gao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chenchao Xiao</au><au>Yuan Tian</au><au>Ting Li</au><au>Zhifang Gao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>DEM-based slope unit derivation</atitle><btitle>2013 21st International Conference on Geoinformatics</btitle><stitle>Geoinformatics</stitle><date>2013-01-01</date><risdate>2013</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2161-024X</issn><eisbn>146736228X</eisbn><eisbn>9781467362283</eisbn><abstract>This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors including slope gradient, slope aspect and curvature, is designed within multi-scale OBIA framework. The method to determine the optimum segmentation scale by COLV is also introduced. A case study of Shenzhen is carried out to verify the feasibility and accuracy of the designed procedure. The results of the case study shows that when the scale parameter is 20, the derived slope units remarkably denote the detailed landform structure and the bounds of the derived units are largely consistent to the concave and convex terrain bounds.</abstract><pub>IEEE</pub><doi>10.1109/Geoinformatics.2013.6626065</doi><tpages>5</tpages></addata></record> |
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| identifier | ISSN: 2161-024X |
| ispartof | 2013 21st International Conference on Geoinformatics, 2013, p.1-5 |
| issn | 2161-024X |
| language | eng |
| recordid | cdi_ieee_primary_6626065 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | DEM Geographic information systems GIS Image analysis Image segmentation object-based image analysis Remote sensing slope unit Surface topography Surface treatment Terrain factors |
| title | DEM-based slope unit derivation |
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