Global digital elevation models for terrain morphology analysis in mountain environments: insights on Copernicus GLO-30 and ALOS AW3D30 for a large Alpine area
This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain fine-scale morphology of a complex alpine landscape, located in the...
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description | This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain fine-scale morphology of a complex alpine landscape, located in the Italian Trentino Province. The analysis is performed on an area of 6210 km
2
, considering a reference DEM derived from a high resolution and accurate airborne Lidar survey. The quality assessment goes beyond a conventional approach based on elevation differences statistics, computed on a pixels-by-pixel basis. An ad hoc approach for evaluating the capability to represent fine-scale morphology, including surface roughness, is adopted. Moreover, the quality analysis is performed considering the influence of local morphology and of the different land covers. The findings show that although the two global DEMs have comparable overall quality, their relative performances change according to local landscape characteristics. Copernicus DEM performance is on average better than ALOS in correspondence of urbanized areas as well as in areas without vegetation cover, with gentle slopes and relatively low short-range roughness. Meanwhile, ALOS DEM performance is slightly better than Copernicus in rougher terrain and steeper slopes. In general, both DEMs have poor performances in steep slopes, with a limited capability to describe fine-scale morphology. The adoption of these global DEMs for terrain analysis and modelling of earth surface processes should be performed carefully, considering the impact of different land covers and of local morphology, including surface roughness. |
doi_str_mv | 10.1007/s12665-023-10882-7 |
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2
, considering a reference DEM derived from a high resolution and accurate airborne Lidar survey. The quality assessment goes beyond a conventional approach based on elevation differences statistics, computed on a pixels-by-pixel basis. An ad hoc approach for evaluating the capability to represent fine-scale morphology, including surface roughness, is adopted. Moreover, the quality analysis is performed considering the influence of local morphology and of the different land covers. The findings show that although the two global DEMs have comparable overall quality, their relative performances change according to local landscape characteristics. Copernicus DEM performance is on average better than ALOS in correspondence of urbanized areas as well as in areas without vegetation cover, with gentle slopes and relatively low short-range roughness. Meanwhile, ALOS DEM performance is slightly better than Copernicus in rougher terrain and steeper slopes. In general, both DEMs have poor performances in steep slopes, with a limited capability to describe fine-scale morphology. The adoption of these global DEMs for terrain analysis and modelling of earth surface processes should be performed carefully, considering the impact of different land covers and of local morphology, including surface roughness.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-023-10882-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Biogeosciences ; Digital Elevation Models ; Earth and Environmental Science ; Earth Sciences ; Earth surface ; Elevation ; Environmental Science and Engineering ; Geochemistry ; Geology ; Hydrology/Water Resources ; Lidar ; Morphology ; Mountain environments ; Original Article ; Pixels ; Plant cover ; Quality assessment ; Quality assurance ; Quality control ; Slopes ; Statistical analysis ; Statistical methods ; Surface roughness ; Terrain analysis ; Terrestrial Pollution ; Vegetation ; Vegetation cover</subject><ispartof>Environmental earth sciences, 2023-05, Vol.82 (9), p.198, Article 198</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a386t-7cf707c13a553e98853bb4c7e6e3e529e9a44df5f39887ade0df0b220c94363e3</citedby><cites>FETCH-LOGICAL-a386t-7cf707c13a553e98853bb4c7e6e3e529e9a44df5f39887ade0df0b220c94363e3</cites><orcidid>0000-0003-4964-9196 ; 0000-0003-1273-5912 ; 0000-0001-8436-7798</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12665-023-10882-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-023-10882-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Trevisani, Sebastiano</creatorcontrib><creatorcontrib>Skrypitsyna, T. N.</creatorcontrib><creatorcontrib>Florinsky, I. V.</creatorcontrib><title>Global digital elevation models for terrain morphology analysis in mountain environments: insights on Copernicus GLO-30 and ALOS AW3D30 for a large Alpine area</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain fine-scale morphology of a complex alpine landscape, located in the Italian Trentino Province. The analysis is performed on an area of 6210 km
2
, considering a reference DEM derived from a high resolution and accurate airborne Lidar survey. The quality assessment goes beyond a conventional approach based on elevation differences statistics, computed on a pixels-by-pixel basis. An ad hoc approach for evaluating the capability to represent fine-scale morphology, including surface roughness, is adopted. Moreover, the quality analysis is performed considering the influence of local morphology and of the different land covers. The findings show that although the two global DEMs have comparable overall quality, their relative performances change according to local landscape characteristics. Copernicus DEM performance is on average better than ALOS in correspondence of urbanized areas as well as in areas without vegetation cover, with gentle slopes and relatively low short-range roughness. Meanwhile, ALOS DEM performance is slightly better than Copernicus in rougher terrain and steeper slopes. In general, both DEMs have poor performances in steep slopes, with a limited capability to describe fine-scale morphology. The adoption of these global DEMs for terrain analysis and modelling of earth surface processes should be performed carefully, considering the impact of different land covers and of local morphology, including surface roughness.</description><subject>Analysis</subject><subject>Biogeosciences</subject><subject>Digital Elevation Models</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth surface</subject><subject>Elevation</subject><subject>Environmental Science and Engineering</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrology/Water Resources</subject><subject>Lidar</subject><subject>Morphology</subject><subject>Mountain environments</subject><subject>Original Article</subject><subject>Pixels</subject><subject>Plant cover</subject><subject>Quality assessment</subject><subject>Quality assurance</subject><subject>Quality control</subject><subject>Slopes</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Surface roughness</subject><subject>Terrain analysis</subject><subject>Terrestrial Pollution</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UUtOwzAQjRBIVKUXYGWJdcCfxEnYRQUKUqQuALG03GSSunLtYKeVehquitMi2OHN2PM-1syLomuCbwnG2Z0nlPM0xpTFBOc5jbOzaEJyzmNOi-L8957jy2jm_QaHwwgrMJ9EXwttV1KjRnVqCBU07OWgrEFb24D2qLUODeCcVGPL9WurbXdA0kh98MqjY3tnhhEHs1fOmi2Ywd8HxKtuPXgUzOa2B2dUvfNoUS1jhoNBg8pq-YrKD_YQ3uM_EmnpOkCl7pUBJB3Iq-iildrD7KdOo_enx7f5c1wtFy_zsooly_kQZ3Wb4awmTKYpgyLPU7ZaJXUGHBiktIBCJknTpi0LWCYbwE2LV5TiukgYZ8Cm0c3Jt3f2cwd-EBu7c2FIL8LeKCkSyrPAoidW7az3DlrRO7WV7iAIFmMW4pSFCFmIYxZiFLGTyAey6cD9Wf-j-gbaD40u</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Trevisani, Sebastiano</creator><creator>Skrypitsyna, T. 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N. ; Florinsky, I. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a386t-7cf707c13a553e98853bb4c7e6e3e529e9a44df5f39887ade0df0b220c94363e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Biogeosciences</topic><topic>Digital Elevation Models</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth surface</topic><topic>Elevation</topic><topic>Environmental Science and Engineering</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrology/Water Resources</topic><topic>Lidar</topic><topic>Morphology</topic><topic>Mountain environments</topic><topic>Original Article</topic><topic>Pixels</topic><topic>Plant cover</topic><topic>Quality assessment</topic><topic>Quality assurance</topic><topic>Quality control</topic><topic>Slopes</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Surface roughness</topic><topic>Terrain analysis</topic><topic>Terrestrial Pollution</topic><topic>Vegetation</topic><topic>Vegetation cover</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Trevisani, Sebastiano</creatorcontrib><creatorcontrib>Skrypitsyna, T. 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N.</au><au>Florinsky, I. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global digital elevation models for terrain morphology analysis in mountain environments: insights on Copernicus GLO-30 and ALOS AW3D30 for a large Alpine area</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2023-05-01</date><risdate>2023</risdate><volume>82</volume><issue>9</issue><spage>198</spage><pages>198-</pages><artnum>198</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain fine-scale morphology of a complex alpine landscape, located in the Italian Trentino Province. The analysis is performed on an area of 6210 km
2
, considering a reference DEM derived from a high resolution and accurate airborne Lidar survey. The quality assessment goes beyond a conventional approach based on elevation differences statistics, computed on a pixels-by-pixel basis. An ad hoc approach for evaluating the capability to represent fine-scale morphology, including surface roughness, is adopted. Moreover, the quality analysis is performed considering the influence of local morphology and of the different land covers. The findings show that although the two global DEMs have comparable overall quality, their relative performances change according to local landscape characteristics. Copernicus DEM performance is on average better than ALOS in correspondence of urbanized areas as well as in areas without vegetation cover, with gentle slopes and relatively low short-range roughness. Meanwhile, ALOS DEM performance is slightly better than Copernicus in rougher terrain and steeper slopes. In general, both DEMs have poor performances in steep slopes, with a limited capability to describe fine-scale morphology. The adoption of these global DEMs for terrain analysis and modelling of earth surface processes should be performed carefully, considering the impact of different land covers and of local morphology, including surface roughness.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-023-10882-7</doi><orcidid>https://orcid.org/0000-0003-4964-9196</orcidid><orcidid>https://orcid.org/0000-0003-1273-5912</orcidid><orcidid>https://orcid.org/0000-0001-8436-7798</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Biogeosciences Digital Elevation Models Earth and Environmental Science Earth Sciences Earth surface Elevation Environmental Science and Engineering Geochemistry Geology Hydrology/Water Resources Lidar Morphology Mountain environments Original Article Pixels Plant cover Quality assessment Quality assurance Quality control Slopes Statistical analysis Statistical methods Surface roughness Terrain analysis Terrestrial Pollution Vegetation Vegetation cover |
title | Global digital elevation models for terrain morphology analysis in mountain environments: insights on Copernicus GLO-30 and ALOS AW3D30 for a large Alpine area |
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