{"id":75521,"date":"2017-02-09T10:47:48","date_gmt":"2017-02-09T10:47:48","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/seeing-the-world-in-a-fresh-way\/"},"modified":"2018-08-05T20:21:52","modified_gmt":"2018-08-06T03:21:52","slug":"seeing-the-world-in-a-fresh-way","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/analytics\/analytics\/seeing-the-world-in-a-fresh-way","title":{"rendered":"Seeing the World in a Fresh Way"},"author":7621,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,23051],"tags":[23871,32971,24981,40161,24201,30401,31811,29681,32981,32991,33001,23391],"industry":[],"product":[36581,36551],"class_list":["post-75521","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-water","tag-earth-observations","tag-evapotranspiration","tag-hydro","tag-living-atlas-of-the-world","tag-nasa","tag-national-oceanic-and-atmospheric-administration","tag-national-water-model","tag-noaa","tag-precipitation","tag-runoff","tag-soil-moisture","tag-spatial-analytics","product-arcgis-living-atlas","product-arcgis-online"],"acf":{"short_description":"NASA and NOAA have both contributed earth observation data to the ArcGIS Living Atlas.","flexible_content":[{"acf_fc_layout":"content","content":"<h3>Check out Earth Observation Services updated in the Living Atlas<\/h3>\n<figure id=\"attachment_74228\" aria-describedby=\"caption-attachment-74228\" style=\"width: 746px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/2017-02-08_8-41-11.png\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-74228 \" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/2017-02-08_8-41-11.png\" alt=\"GLDAS Snowpack 2000 \u2013 Present\" width=\"746\" height=\"447\" \/><\/a><figcaption id=\"caption-attachment-74228\" class=\"wp-caption-text\">Figure 1. GLDAS Snowpack 2000 \u2013 Present<\/figcaption><\/figure>\n<p>Earth Observation image and map services have been updated in the <a href=\"http:\/\/doc.arcgis.com\/en\/living-atlas\/about\/\">Living Atlas of the World<\/a>. This includes data from <a href=\"https:\/\/www.nasa.gov\/\">NASA\u2019s<\/a> <a href=\"https:\/\/disc.sci.gsfc.nasa.gov\/services\/grads-gds\/gldas\">Global Land Data Assimilation System (GLDAS)<\/a> and <a href=\"http:\/\/www.noaa.gov\/\">NOAA\u2019s<\/a> <a href=\"http:\/\/water.noaa.gov\/about\/nwm\">National Water Model<\/a>. The updates include increased analysis and easier to use capabilities. Added raster functionality, support for large output sizes, and the addition of fields were also included in the update.<\/p>\n<p>The GLDAS raster image services, known as EarthObs2.arcgis.com, were updated with ArcGIS for Server 10.4.1 in order to support new raster functions. They can now take advantage of the Image Display Renderer raster function called Calculate Anomaly. This allows the user to calculate the difference between the selected month and the historical normal for the data. These services have also been reconfigured to support the creation of large output image sizes. This enables the user to utilize the services on larger display devices at full screen. Below is the list of the five GLDAS services that were updated:<\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=23605c21c353454892978587d1b3d8bb\">GLDAS Evapotranspiration 2000 \u2013 Present<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=d9f5a81ae364451ca62ffab775527ab4\">GLDAS Precipitation 2000 \u2013 Present<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=e2882d400e224002aea42281def476ed\">GLDAS Runoff 2000 \u2013 Present<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=6c8d3b1170864e5ca8324fc44e7ee001\">GLDAS Snowpack 2000 \u2013 Present<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=3a3b4288a624469496435f15061b7d79\">GLDAS Soil Moisture 2000 \u2013 Present<\/a><\/p>\n<figure id=\"attachment_74229\" aria-describedby=\"caption-attachment-74229\" style=\"width: 354px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/2017-02-08_8-38-25.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-74229\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/2017-02-08_8-38-25.png\" alt=\"GLDAS Soil Moisture 2000 \u2013 Present\" width=\"354\" height=\"489\" \/><\/a><figcaption id=\"caption-attachment-74229\" class=\"wp-caption-text\">Figure 2. GLDAS Soil Moisture 2000 \u2013 Present<\/figcaption><\/figure>\n<p>The National Water Model map services, known as Livefeeds2.arcgis.com, had a schema change to the base data to include the \u2018Reach Code\u2019 field. This field makes it possible for the user to extract data by watershed value with a REST query using a where clause. To support this new field the underlying table that supports the data had to be renamed. \u2018LargeScale\u2019 has been changed to \u2018LargeScale_v2\u2019. The layers within the map services have been reorganized which results in the user being presented with layer \u20180\u2019 rather than layer \u20184\u2019 which provides a more predictable experience when accessing the services. Below is the list of the four National Water Model services that were updated:<\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=f43c154ef3b9421bbda14bc17f9e98d2\">National Water Model (10 Day Forecast)<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=51b2bc5d620543b2825c60cc75e9a441\">National Water Model (10 Day Anomaly Forecast)<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=0a42a065b8094842a0218c540e27761a\">National Water Model (Hourly Forecast)<\/a><\/p>\n<p><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=b9ec31770ee643509b942dfdec393b7f\">National Water Model (Hourly Anomaly Forecast)<\/a><\/p>\n<figure id=\"attachment_74230\" aria-describedby=\"caption-attachment-74230\" style=\"width: 600px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/NWM.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-74230\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2017\/02\/NWM.png\" alt=\"National Water Model (10 Day Anomaly Forecast)\" width=\"600\" height=\"468\" \/><\/a><figcaption id=\"caption-attachment-74230\" class=\"wp-caption-text\">Figure 3. National Water Model (10 Day Anomaly Forecast)<\/figcaption><\/figure>\n"}],"authors":[{"ID":7621,"user_firstname":"Tamara","user_lastname":"Grant","nickname":"Tammy","user_nicename":"tgrant","display_name":"Tamara Grant","user_email":"TGrant@esri.com","user_url":"","user_registered":"2018-03-25 22:04:46","user_description":"Hi! I'm Tamara Grant and I'm a Product Engineer on the ArcGIS Living Atlas of the World team. I promote the Living Atlas through blog posts and social media.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1903984_10105968545154554_435543117_n.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":"","card_image":false,"wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Seeing the World in a Fresh Way<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/analytics\/analytics\/seeing-the-world-in-a-fresh-way\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seeing the World in a Fresh Way\" \/>\n<meta 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