{"id":1171602,"date":"2021-03-26T00:05:30","date_gmt":"2021-03-26T07:05:30","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1171602"},"modified":"2021-04-12T12:25:40","modified_gmt":"2021-04-12T19:25:40","slug":"high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021","title":{"rendered":"High resolution data updates to Living Atlas World Elevation Layers and Tools (March 2021)"},"author":4501,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,22931,22941],"tags":[759322,24381,759332,759352,759342],"industry":[],"product":[421922,36951,36581,36551,36561,36861,36991],"class_list":["post-1171602","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-imagery","category-mapping","tag-latvia","tag-lidar","tag-lithuania","tag-salzburg","tag-slovakia","product-arcgis","product-image-server","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro","product-api-rest","product-arcgis-desktop"],"acf":{"short_description":"World Elevation layers and tools are updated with high-resolution data from Latvia, Lithuania, Slovakia, and Salzburg in March 2021 release","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"https:\/\/livingatlas.arcgis.com\/\" target=\"_blank\" rel=\"noopener\">ArcGIS Living Atlas of the World<\/a> provides foundation elevation layers and tools to support analysis and visualization across the ArcGIS system. These layers get updated quarterly with high resolution elevation data from open sources and the community maps program. In this release, world elevation layers and tools are updated with a few high-resolution elevation datasets.<\/p>\n<h3><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=58a541efc59545e6b7137f961d7de883\" target=\"_blank\" rel=\"noopener\">Terrain<\/a>\u00a0and\u00a0<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=c753e5bfadb54d46b69c3e68922483bc\" target=\"_blank\" rel=\"noopener\">TopoBathy<\/a><\/h3>\n<p>These layers are updated with the following datasets:<\/p>\n<ul>\n<li>Latvian 1, 10, and 20 meters lidar derived DTM\u2019s covering the whole country of Latvia (Credit: <a href=\"https:\/\/www.lgia.gov.lv\/\" target=\"_blank\" rel=\"noopener\">LGIA<\/a>)<\/li>\n<li>Lithuanian 1 and 10 meters lidar derived DTM\u2019s covering the whole country of Lithuania (Credit: <a href=\"http:\/\/www.nzt.lt\/\" target=\"_blank\" rel=\"noopener\">NZT<\/a>)<\/li>\n<li>Slovak Republic\u2019s 10 meters DTM\u2019s covering the whole country of Slovakia (Credit: <a href=\"http:\/\/www.gku.sk\/gku\/\" target=\"_blank\" rel=\"noopener\">GK\u00da<\/a>)<\/li>\n<li>Salzburg\u2019s 1 meter lidar derived DTM\u2019s covering Salzburg state of Austria (Credit: <a href=\"https:\/\/www.salzburg.gv.at\/sagis\" target=\"_blank\" rel=\"noopener\">Land Salzburg<\/a>)<\/li>\n<\/ul>\n<p>With these updates, Latvia and Lithuania now have 24 times more detail. Here are a few examples highlighting the improvements with before and after images.<\/p>\n"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><em>Daugavpils Fortress, Latvia \u2013 fine details of an early 19th century fortress depicted with lidar derived 1-meter data in comparison to 24 meters WorldDEM4Ortho <\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1172562,"id":1172562,"title":"DaugavpilsFortress_Latvia","filename":"DaugavpilsFortress_Latvia.gif","filesize":1807996,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/daugavpilsfortress_latvia","alt":"","author":"4501","description":"","caption":"","name":"daugavpilsfortress_latvia","status":"inherit","uploaded_to":1171602,"date":"2021-03-25 00:16:00","modified":"2021-03-25 00:17:58","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":765,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","medium-width":409,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","medium_large-width":768,"medium_large-height":490,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","large-width":1200,"large-height":765,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","1536x1536-width":1200,"1536x1536-height":765,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","2048x2048-width":1200,"2048x2048-height":765,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia-729x465.gif","card_image-width":729,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif","wide_image-width":1200,"wide_image-height":765}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DaugavpilsFortress_Latvia.gif"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><em>The Gauja Valley, Latvia \u2013 Gauja river and valley depicted with lidar derived 1-meter data in comparison to 24 meters WorldDEM4Ortho<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1172202,"id":1172202,"title":"GaujaValley_Latvia","filename":"GaujaValley_Latvia.gif","filesize":1753745,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/gaujavalley_latvia","alt":"","author":"4501","description":"","caption":"","name":"gaujavalley_latvia","status":"inherit","uploaded_to":1171602,"date":"2021-03-24 22:49:32","modified":"2021-03-24 22:54:44","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":765,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","medium-width":409,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","medium_large-width":768,"medium_large-height":490,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","large-width":1200,"large-height":765,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","1536x1536-width":1200,"1536x1536-height":765,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","2048x2048-width":1200,"2048x2048-height":765,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia-729x465.gif","card_image-width":729,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif","wide_image-width":1200,"wide_image-height":765}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/GaujaValley_Latvia.gif"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><em>Minija River, Lithuania &#8211; the largest river in western Samogitia depicted with lidar derived 1-meter data in comparison to 24 meters WorldDEM4Ortho<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1172192,"id":1172192,"title":"Daugin\u010di\u0173Atodanga_Lithuania","filename":"DauginciuAtodanga_Lithuania.gif","filesize":1413504,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/dauginciuatodanga_lithuania","alt":"","author":"4501","description":"","caption":"","name":"dauginciuatodanga_lithuania","status":"inherit","uploaded_to":1171602,"date":"2021-03-24 22:49:15","modified":"2021-03-24 22:54:45","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":765,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","medium-width":409,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","medium_large-width":768,"medium_large-height":490,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","large-width":1200,"large-height":765,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","1536x1536-width":1200,"1536x1536-height":765,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","2048x2048-width":1200,"2048x2048-height":765,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania-729x465.gif","card_image-width":729,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif","wide_image-width":1200,"wide_image-height":765}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/DauginciuAtodanga_Lithuania.gif"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><em>Nemunas Loops Regional Park, Lithuania \u2013 fine details depicted with lidar derived 1-meter data in comparison to 24 meters WorldDEM4Ortho<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1172222,"id":1172222,"title":"NemunasLoopsRegionalPark_Lithuania","filename":"NemunasLoopsRegionalPark_Lithuania.gif","filesize":1392958,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/nemunasloopsregionalpark_lithuania","alt":"","author":"4501","description":"","caption":"","name":"nemunasloopsregionalpark_lithuania","status":"inherit","uploaded_to":1171602,"date":"2021-03-24 22:50:06","modified":"2021-03-24 22:54:45","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":765,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","medium-width":409,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","medium_large-width":768,"medium_large-height":490,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","large-width":1200,"large-height":765,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","1536x1536-width":1200,"1536x1536-height":765,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","2048x2048-width":1200,"2048x2048-height":765,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania-729x465.gif","card_image-width":729,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif","wide_image-width":1200,"wide_image-height":765}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/NemunasLoopsRegionalPark_Lithuania.gif"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><em>Gerlachovsk\u00fd \u0161t\u00edt, Slovakia \u2013 the highest peak (2655 meters) in the High Tatras, in Slovakia depicted with 10 meters data in comparison to 24 meters WorldDEM4Ortho<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1172212,"id":1172212,"title":"Gerlachovsk\u00fd \u0161t\u00edt High Tatras_Slovakia","filename":"Gerlachovsky-stit-High-Tatras_Slovakia.gif","filesize":2078404,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/gerlachovsky-stit-high-tatras_slovakia","alt":"","author":"4501","description":"","caption":"","name":"gerlachovsky-stit-high-tatras_slovakia","status":"inherit","uploaded_to":1171602,"date":"2021-03-24 22:49:50","modified":"2021-03-24 22:54:46","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":765,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","medium-width":409,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","medium_large-width":768,"medium_large-height":490,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","large-width":1200,"large-height":765,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","1536x1536-width":1200,"1536x1536-height":765,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","2048x2048-width":1200,"2048x2048-height":765,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia-729x465.gif","card_image-width":729,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif","wide_image-width":1200,"wide_image-height":765}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/Gerlachovsky-stit-High-Tatras_Slovakia.gif"},{"acf_fc_layout":"content","content":"<h3>Elevation Analysis Tools<\/h3>\n<p>In this release, elevation analysis tools (<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=3300cfc33ca74a9fac69d2e0f4ea46e5\">Profile<\/a>,\u00a0<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=1ff463dbeac14b619b9edbd7a9437037\">Viewshed<\/a>\u00a0and\u00a0<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=05e807869f6f4141893bb7de56d7135c\">Summarize Elevation<\/a>) are also updated with 10 meters data for Latvia, Lithuania, and Slovakia. When these \u2018Ready To Use\u2019 tools are run using desktop clients (ArcGIS Pro, ArcMap) on the above geographies, and \u2018DEM resolution\u2019 is selected as \u201810m\u2019 or \u2018Finest\u2019, the analysis will be performed using 10 meters data.<\/p>\n<p style=\"text-align: center\"><em>Elevation Profile generated across Gauja River, Latvia using LGIA\u2019s 10 meters elevation data<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1173742,"id":1173742,"title":"ProfileGraph3_GaujaRiver","filename":"ProfileGraph3_GaujaRiver.png","filesize":311364,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/high-resolution-data-updates-to-living-atlas-world-elevation-layers-and-tools-march-2021\/profilegraph3_gaujariver","alt":"","author":"4501","description":"","caption":"","name":"profilegraph3_gaujariver","status":"inherit","uploaded_to":1171602,"date":"2021-03-25 23:28:43","modified":"2021-03-25 23:30:02","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1620,"height":890,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","medium-width":464,"medium-height":255,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","medium_large-width":768,"medium_large-height":422,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","large-width":1620,"large-height":890,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver-1536x844.png","1536x1536-width":1536,"1536x1536-height":844,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","2048x2048-width":1620,"2048x2048-height":890,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver-826x454.png","card_image-width":826,"card_image-height":454,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png","wide_image-width":1620,"wide_image-height":890}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/03\/ProfileGraph3_GaujaRiver.png"},{"acf_fc_layout":"content","content":"<p>The Profile tool now uses the GEBCO 15 arc second (approx. 500 meters) dataset as default bathymetry instead of the GEBCO 30 arc second (approx. 1000 meters).<\/p>\n<p>These data updates will be rolled out to the world elevation tiled services \u2013\u00a0Elevation 3D (<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=7029fb60158543ad845c7e1527af11e4\">Terrain3D<\/a>\u00a0and\u00a0<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=0c69ba5a5d254118841d43f03aa3e97d\">TopoBathy3D<\/a>) and\u00a0Hillshade (<a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=1b243539f4514b6ba35e7d995890db1d\" target=\"_blank\" rel=\"noopener\">World Hillshade<\/a> and <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=428539ef9cab4017b69d15a40a9ee98b\">World Hillshade (Dark)<\/a>\u00a0) by the next quarter.<\/p>\n<p>To see the coverage extents of each source comprising World Elevation services, check out the\u00a0<a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=3af669838f594b378f90c10f98e46a7f\">Elevation coverage map<\/a>.<\/p>\n<p>You can help in improving these services by contributing high-resolution elevation data to\u00a0<a href=\"https:\/\/livingatlas.arcgis.com\/en\/participate\/\">Living Atlas of the World<\/a>. To participate and learn more, check out the\u00a0<a href=\"https:\/\/www.arcgis.com\/apps\/Cascade\/index.html?appid=f5818ab82666401b8e4a06632e3f51fb\">Esri Community Maps for Elevation<\/a>\u00a0program.<\/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. Rajinder holds a Master of Science degree in Geoinformatics and a Bachelor of Science degree in Urban &amp; Regional Planning.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/RNagi_Profile.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":[{"ID":120371,"post_author":"4501","post_date":"2014-07-11 16:30:42","post_date_gmt":"2014-07-11 16:30:42","post_content":"","post_title":"Introducing Esri\u2019s World Elevation Services","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"introducing-esris-world-elevation-services","to_ping":"","pinged":"","post_modified":"2014-07-11 16:30:42","post_modified_gmt":"2014-07-11 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