{"id":82101,"date":"2018-01-22T11:35:23","date_gmt":"2018-01-22T11:35:23","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/airbus-worlddem4ortho-in-arcgis-living-atlas-of-the-world\/"},"modified":"2024-06-11T13:03:52","modified_gmt":"2024-06-11T20:03:52","slug":"airbus-worlddem4ortho-in-arcgis-living-atlas-of-the-world","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/airbus-worlddem4ortho-in-arcgis-living-atlas-of-the-world","title":{"rendered":"Airbus WorldDEM4Ortho in ArcGIS Living Atlas of the World"},"author":4501,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771,23341,22931,22941],"tags":[35621,22951,24111,30491,22801,23951,24131,35631,30511,24141,25941,24151,30521,28541,32201,40161,24181,30531,24191,31461,24211,23391,24241,34781,24251,40191,35641,35651],"industry":[],"product":[36571,36951,36581,36551,36561],"class_list":["post-82101","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","category-analytics","category-imagery","category-mapping","tag-airbus","tag-arcgis-content","tag-aspect","tag-bare-earth","tag-bathymetry","tag-community-maps-program","tag-dem","tag-dsm","tag-dtm","tag-elevation","tag-esri","tag-esri_earth","tag-esri_elevation","tag-global","tag-high-res","tag-living-atlas-of-the-world","tag-multi-directional-hillshade","tag-multidirectional","tag-nagi-fusion-method","tag-relief","tag-slope","tag-spatial-analytics","tag-tinted-hillshade","tag-topobathy","tag-topography","tag-world-elevation-services","tag-worlddem","tag-worlddem4ortho","product-arcgis-enterprise","product-image-server","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"ArcGIS Living Atlas of the World provides foundation elevation layers to support your work in 2D and 3D. Over the last couple of years, E...","flexible_content":[{"acf_fc_layout":"content","content":"

ArcGIS Living Atlas of the World<\/a> provides foundation elevation layers to support your work in 2D and 3D. Over the last couple of years, Esri has been developing World Elevation Services<\/a> primarily from best authoritative data from open sources and contributions to the Esri Community Maps for Elevation program.<\/p>\n

We are glad to announce that we are adding \u00a0global elevation data from Airbus Defence and Space<\/a> to further enhance Esri Elevation Layers (Terrain<\/a> and\u00a0TopoBathy<\/a>) and Tools (Profile<\/a>, Viewshed<\/a> and Summarize Elevation<\/a>). WorldDEM4Ortho<\/a>, which is based on the global WorldDEM dataset, has a resolution of 0.8 arc second (approx. 24 meters) with a vertical accuracy of ~ 4 m (LE90%)* on a global scale. Covering the entire earth’s land surface (excluding the countries of Azerbaijan, DR Congo and Ukraine), this is the most consistent and accurate satellite-based elevation model on a global scale. This dataset brings many improvements over areas with SRTM 30 m coverage and areas above latitudes of 60 degree north and south.<\/p>\n

This dataset is now available in world elevation layers and tools to all ArcGIS Online subscribers. Let’s see few examples showing enhancements over SRTM 30 m.<\/p>\n

Mount Kilimanjaro, Tanzania \u2013 a dormant stratovolcano and the highest mountain in Africa at an elevation of 5,895 m (19,341 ft) above sea level (SRTM 30 m vs WorldDEM4Ortho 24 m)<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

\n
<\/dt>\n<\/dl>\n

A portion near Ngorongoro Conservation Area, Tanzania depicted with newly released WorldDEM4Ortho 24 m (bottom) showing improvements over SRTM 30 m (top)<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

Cotopaxi, Ecuador\u2013 an active stratovolcano in Andes mountains and the second highest summit in Ecuador at an elevation of 5,897 m (19,347 ft) above sea level (SRTM 30 m vs WorldDEM4Ortho 24 m)<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

Ojos del Salado\u2014the highest active volcano in the world at 6,893 m (22,615 ft) on the Argentina\u2013Chile border (SRTM 30 m vs WorldDEM4Ortho 24 m)\u00a0<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

Nevado Sajam, Bolivia \u2014<\/em>an extinct stratovolcano and the highest peak in Bolivia at 6,542 m (21,463 ft) above sea level (SRTM 30 m vs WorldDEM4Ortho 24 m)\u00a0<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

Mount Fuji, Japan \u2013 an active stratovolcano and the highest mountain in Japan at an elevation of 3,776.24 m (12,389 ft) above sea level (SRTM 30 m vs WorldDEM4Ortho 24 m)<\/em><\/span><\/p>\n

\"\"<\/a><\/p>\n

The world elevation image services (Terrain\u00a0<\/a>and\u00a0TopoBathy<\/a>) are a collection of multi-resolution and multi-source elevation data that can be used\u00a0 for visualization (such as\u00a0multi-directional hillshade<\/a>,\u00a0tinted hillshade<\/a>) and analysis. When using for visualization, the service will automatically display the data from best source at a given location, thus providing a seamless user experience. With this update, Airbus WorldDEM4Ortho will take priority over SRTM when rendering visualizations.<\/p>\n

While doing analysis in ArcGIS desktop clients (Pro or ArcMap), you need to choose a dataset from the service depending upon your analysis requirements. These services being dynamic image services provides the ability to make a request in user defined coordinate system, cell size and extent which make these suitable to use for analysis. Each dataset in these services has a unique identifier and a query can be defined based on\u00a0ProductName\u00a0or\u00a0Dataset_ID. For example, a definition query of\u00a0\u201cProductName\u201d = \u2018Airbus_WorldDEM4Ortho_24m\u2019<\/em> will filter data pertaining to the Airbus WorldDEM4Ortho grid only. To make a request in user defined parameters, use the Make Image Server Layer<\/a>\u00a0geoprocessing tool. This tool generates a temporary layer that can be used as an input in other geoprocessing tools to perform analysis.<\/p>\n

Airbus WorldDEM4Ortho is also rolled out in Elevation Analysis Tools\u00a0(Profile<\/a>,\u00a0Viewshed<\/a>\u00a0and\u00a0Summarize Elevation<\/a>) and can be invoked in these tools by selecting 24 m option from the drop-down menu of DEM Resolution parameter.<\/p>\n

\"\"<\/a><\/p>\n

These updates will also be rolled out to other world elevation derivative products \u2013\u00a0Elevation 3D (Terrain3D<\/a>\u00a0and\u00a0TopoBathy3D<\/a>),\u00a0World Hillshade<\/a>\u00a0and\u00a0World Topo Base<\/a>\u00a0over the next month or so.\u00a0Stay tuned!<\/p>\n

For more information about the various data sources available in World Elevation services, check out\u00a0Elevation coverage map<\/a>. Esri will keep improving World Elevation Services, Tools and derivative products by including high resolution data from open source and Esri Community Maps program. Additionally, to contribute high-resolution elevation data to\u00a0Living Atlas of the World<\/a>, check out the\u00a0Esri Community Maps for Elevation<\/a>\u00a0program.<\/p>\n

*\u00a0Excluding urban areas which are flattened (DTM like areas), area of Antarctica and areas where substituted datasets are used.<\/em><\/span><\/p>\n"}],"authors":[{"ID":4501,"user_firstname":"Rajinder","user_lastname":"Nagi","nickname":"Rajinder Nagi","user_nicename":"rajnagi","display_name":"Rajinder Nagi","user_email":"rnagi@esri.com","user_url":"","user_registered":"2018-03-02 00:16:05","user_description":"Rajinder has more than 20 years of experience in GIS and Remote Sensing. In his current role, he leads the community elevation program at Esri and has wide experience in cartographic visualization, image processing, databases and geo-processing. Rajinder has developed a multi-directional hillshade (esriurl.com\/NextGenHillshade) algorithm to improve terrain visualization in Esri basemaps. He has also developed a fusion technique (esriurl.com\/NAGIfusion) which maintains details and colors when integrating colored rasters with hillshades. 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Nagi","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/RNagi_Profile.jpg","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/RNagi_Profile.jpg","caption":"Rajinder Nagi"},"description":"Rajinder has more than 20 years of experience in GIS and Remote Sensing. In his current role, he leads the community elevation program at Esri and has wide experience in cartographic visualization, image processing, databases and geo-processing. Rajinder has developed a multi-directional hillshade (esriurl.com\/NextGenHillshade) algorithm to improve terrain visualization in Esri basemaps. He has also developed a fusion technique (esriurl.com\/NAGIfusion) which maintains details and colors when integrating colored rasters with hillshades. 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