ArcGIS Living Atlas of the World content is hosted on ArcGIS Online, but your portal administrator can configure the portal to access a subset of these ArcGIS Living Atlas items. Because you are accessing content outside the portal, the life cycle of that content and the details associated with it are not completely tied to the ArcGIS Enterprise release cycle.
Each version of ArcGIS Enterprise contains a fixed subset of ArcGIS Living Atlas items that reference content in ArcGIS Online. If the data in a specific item changes, you see those data changes when you access the portal item. However, you will not see changes to the item details, and that includes information about the item's life cycle.
Tip:
You can see what ArcGIS Living Atlas content was present in each ArcGIS Enterprise release by accessing the public ArcGIS Living Atlas in ArcGIS Enterprise group in ArcGIS Online. Use group categories to find the active and mature support content present in specific ArcGIS Enterprise releases. You can also access a list of retired content from this group's item page.
As part of the ArcGIS Living Atlas content life cycle, some items are placed in one of the following states, which can affect what you see in your portal:
- Mature support (deprecated)
For ArcGIS Living Atlas content, a mature support status means the content is static—no further updates will be made to it. The most common reason for an item to be placed in mature support is because a similar but significantly improved item has been added to the ArcGIS Living Atlas that you should use instead. Sometimes, though, an item is placed in mature support because the agreement that Esri has with the data provider is nearing expiration, and the item will soon be inaccessible. Placing such an item in mature support status provides you time to begin using a different item.
Content in mature support should continue to function in your existing maps and apps up until the item is retired. You are encouraged to replace mature support items within your existing maps and apps before the content is retired so your maps and apps do not lose access to content. Do not use mature support items in new maps and apps.
- Retired
Once you upgrade ArcGIS Enterprise to the next release, retired items are no longer present in the portal. In addition, items that are retired from ArcGIS Online will no longer work in existing maps and apps even if you do not upgrade ArcGIS Enterprise. Therefore, it is important to replace mature support items before they retire.
Identify mature support content
Even though the status of ArcGIS Living Atlas content is largely independent of the ArcGIS Enterprise release cycle, there are ways you can identify what content is in mature support so you can update your existing maps and apps before you lose access to the content.
- When you upgrade your portal, the details pages for ArcGIS Living Atlas content that is in mature support at the time that particular ArcGIS Enterprise version is released will be labeled accordingly.
- Use the ArcGIS Living Atlas in ArcGIS Enterprise group to find mature support items for each ArcGIS Enterprise release.
- Each item's details page in the portal contains a link to the item in ArcGIS Online. The pages in ArcGIS Online reflect the current status of an item.
- Each item that has entered mature support at the time of the ArcGIS Enterprise release will be tagged to indicate it is in mature support. Use this tag to identify mature support items as described in the following steps:
- Sign in to the portal.
- Type the word deprecated into the search.
This returns all deprecated items in the portal and any items that include the word deprecated in their item pages. You can identify deprecated ArcGIS Living Atlas items as they are owned by esri_livingatlas and include a Deprecated badge.
Replace mature or retired content
Once you determine that you are using mature or retired content, you can replace it in your existing maps and apps.
Follow these steps to find the ID of mature or retired content and update your map to access a different layer or your app to access a different map.
- Sign in to your portal and open the details page of the item.
- In the item's description, there will be a link to the item you should be using instead. Click the new version of this layer link.
The replacement item's details page opens in ArcGIS Online.
- Copy the item's ID from the ArcGIS Online URL.
For example, if the ArcGIS Online URL is http://www.arcgis.com/home/item.html?id=986e0b86c8e447549aaecbed728538f0, copy 986e0b86c8e447549aaecbed728538f0.
- Return to the browser tab or window where you are signed in to your portal and replace the item ID in the URL with the ID you copied from ArcGIS Online.
For example, if the URL in your portal is https://myportalmachine.mydomain.com/gis/home/item.html?id=f720ceb965074b158df5963c5f2f59fb, replace f720ceb965074b158df5963c5f2f59fb with the ID you copied from ArcGIS Online.
This opens the details page in your portal for the replacement item. Take note of the item's name so you can use it in the next step.
- Open each map or app that contained the mature support or retired item and replace it with the item you identified in the previous step. Save your map or app.
Items retired as of 10.9
A large number of ArcGIS Living Atlas United States demographic layers and maps and environment items are retired as of the ArcGIS Enterprise 10.9. These items will no longer function. Replacement items are listed when available. In addition, several imagery layers from USGS have been retired and will no longer function.
Due to the large number retired items, this list is split into multiple tables to allow you to see the column titles.
USGS imagery layers
Retired item | Retired item ID |
---|---|
Landsat 8 Pansharpened | c34fd380d16f40a7bb7995ac4d7ab8de |
Landsat 8 Views | 4ca13f0e4e29403fa68c46d188c4be73 |
Multispectral Landsat | d9b466d6a9e647ce8d1dd5fe12eb434b |
Panchromatic Landsat | 6b003010cbe64d5d8fd3ce00332593bf |
Pansharpened Landsat | a7412d0c33be4de698ad981c8ba471e6 |
2016 U.S. demographic map image layers
Retired item | Retired item ID | Replacement item | Replacement item ID |
---|---|---|---|
2016 USA 401(k) Retirement Plans | b30c68aab6744d5e993f9454a3508da3 | 2020 USA 401(k) Retirement Plans | bcdc30c714dd42c09fbad5aaa116dc3d |
2016 USA Adults That Exercise Regularly | e73dccdefbc0483b844a76d0d68a1f74 | 2020 USA Adults That Exercise Regularly | 64a215a820b54ccfa699bc9d5c766c39 |
2016 USA Alcoholic Beverage Spending | 0994f1c2357644e5a9a573381121438b | 2020 USA Alcoholic Beverage Spending | 53389e4ace004119aef5612e05affd97 |
2016 USA Average Household Income | 394329f080414e65836dc8025ad2d5fc | 2020 USA Average Household Income | 1a1436d7ceab4fa9808b0330c7d45bd5 |
2016 USA Average Household Size | 82a14d69702e460ab600411ec0e1cd62 | 2020 USA Average Household Size | 86b5cedb60024bb7b727f327a350c3d8 |
2016 USA Car Dealership Market Opportunity | a8ea90327a5b433693e2185b89bfcd6a | 2017 USA Car Dealership Market Opportunity (in 2020 Geography) | 91d51431e2b2400abd06b5a88bbf1752 |
2016 USA Child Care Spending | c56e9531ef7249df8d026497e375107a | 2020 USA Child Care Spending | dd73ffb7e0674a14b53de160c3622a49 |
2016 USA Clothing/Accessory Store Market Opportunity | 7f91c01bfe804585b6a10e6b8e680b52 | 2017 USA Clothing/Accessory Store Market Opportunity (in 2020 Geography) | 08ff39dfb7c64b0db91fd30ee60b1725 |
2016 USA Coffee Maker Ownership | cea0c1d7121740868eac0a6fed84df42 | 2020 USA Coffee Maker Ownership | f315f458cc3447bba5ded688e695758e |
2016 USA Democratic Party Affiliation | f3269d42124e4b818bd0415e5f99f9b4 | 2020 USA Democratic Party Affiliation | b5d1494e8509438aa16aa20e6b7206e7 |
2016 USA Diabetes Medication Users (Insulin) | cbbc6cd27bdc413684ac3ec132cc8aef | 2020 USA Diabetes Medication Users (Insulin) | 0ecfdd8fa63149c8ac1535f309f85422 |
2016 USA Diabetes Medication Users (Non-Insulin) | e7227e1f89a5421eb2c43028d734be55 | 2020 USA Diabetes Medication Users (Non-Insulin) | c0f8333f937f4a9a929e32287661a520 |
2016 USA Diversity Index | 3966cd0d5f884304801a16fece9b9dcc | 2020 USA Diversity Index | 010f7ddc958d442d8c1583281cf416a5 |
2016 USA Education Spending | 180e91707e264ca4bb7be760be3674e0 | 2020 USA Education Spending | 6e13c1298b114999a51dc82b72bf2b09 |
2016 USA Electronics Stores Market Opportunity | 961c53309f93425697df5760648a2dc7 | 2017 USA Electronics Stores Market Opportunity (in 2020 Geography) | 6fd6b9e32d76424d88960d0a5df11aa0 |
2016 USA Facebook Users | 38e70958df6248ee8ee435ff1764e561 | 2020 USA Facebook Users | d1832a89d5e140d1b03b6a272fdac664 |
2016 USA Food Service Market Opportunity | 1d02ed084c154d0dad0aa975bbe96f4f | 2017 USA Food Service Market Opportunity (in 2020 Geography) | 5b34c7b6614a4e468e1307e503c3018a |
2016 USA Food Spending (Away from Home) | c5aa43bb67594a34ae458185db7e24d0 | 2020 USA Food Spending (Away from Home) | 0de0936dc39e49299263e4e5bbf0fa03 |
2016 USA Frequent Coupon Use | 3f6160a916674fdf93e3f0d33e39f1e4 | 2020 USA Frequent Coupon Use | 3a7316d7c71340baa2f286a1e7022cb0 |
2016 USA Fruits and Vegetables Spending | 2f8f8d5e95f74dd3b8980e24de94e786 | 2020 USA Fruits and Vegetables Spending | 994aa0eeecd54f6aa04a1e5e1f80b996 |
2016 USA Grocery Store Market Opportunity | dd0babb4e0e84879ac76d997a6588d4d | 2017 USA Grocery Store Market Opportunity (in 2020 Geography) | 54551813d1cf414cb856fed8930053f5 |
2016 U.S. demographic map image layers (continued)
Retired item | Retired item ID | Replacement item | Replacement item ID |
---|---|---|---|
2016 USA Health Care Spending | 34b1fb3abcf24026907993b76107d261 | 2020 USA Health Care Spending | 1e4ce3d6fff54a82862d0dc799d19a6c |
2016 USA Health Insurance Spending | 5e5188f2c7804cf3996085df7e87eafe | 2020 USA Health Insurance Spending | 1fb3254792694ee285a835dd5fffc20b |
2016 USA High Credit Card Expenditures | 41762d0cd9ec41b5b3551cf9b5abdd12 | 2020 USA High Credit Card Expenditures | 990aa16fecf145e59a89eef541f25534 |
2016 USA Home Improvement Spending | f106f92509cf4faabe4fa78ba781f653 | 2020 USA Home Improvement Spending | bd81da3d96f346898fe87d39b23c077d |
2016 USA Long Commute Time to Work | a238982173a44cf3a3930ada1002efb3 | 2020 USA Long Commute Time to Work | 403b8d86e4c145b7ad9fcc2650a88901 |
2016 USA Median Age | ee45de48ae8940518fd0c95ae769598e | 2020 USA Median Age | 2848013f6a034e688ae76a798bb49d82 |
2016 USA Median Disposable Income | 71d0df7bc3464c33a34f0cfb8497c824 | 2020 USA Median Disposable Income | 239a0e9c32674d0b80290ff4cfe32ec3 |
2016 USA Median Home Value | eb4deb0ebcf9448495fcdc2be48ed345 | 2020 USA Median Home Value | d57620bbd2014e9aba7f50102ba15682 |
2016 USA Median Household Income | 7f6c20c3e1984310961fae7c313f152a | 2020 USA Median Household Income | 20a60423d37c49ba9253526859ba93e1 |
2016 USA Medical Insurance Coverage | cdcbdc31cd7c4029bac8de9f476a3999 | 2020 USA Medical Insurance Coverage | 8fb63b46c3af43c0b3c69c1c6077adfa |
2016 USA Online Banking | 69181ff131fa40b6b60d6ad0b530a8d3 | 2020 USA Online Banking | 15a3fba44e484fdd93c9b1a5fe5716d5 |
2016 USA Organic Food Consumption | 502e785a1f4e4e329309c72545da1f5b | 2020 USA Organic Food Consumption | 92975fbfc0634deab8ce38b92ec3a6e1 |
2016 USA Per Capita Income | 194324950a7d4e71ae70bdfc11102b34 | 2020 USA Per Capita Income | b8751ac7168e4be6b19cc05e63825738 |
2016 USA Pet Spending | bf112dcd50eb45b7ba9386ac6778d859 | 2020 USA Pet Spending | bde319784fdd46c19defbc4f66cc82ff |
2016 USA Phone Services Spending | 7f7660f0b1954e6c8537e3c57175cb48 | 2020 USA Phone Services Spending | 6c2742060a0a45a6b43a5aee05b56d2a |
2016 USA Population Density | d95c3900b31b4f3097226b950fcbf48c | 2020 USA Population Density | b9095ebdf5e8442588ab3f269dc7ee5e |
2016 USA Recycling Habits | cf2bdb5e08df49469df1074884fee6e0 | 2020 USA Recycling Habits | e8a11f441e2540adb2ce756de8d9b262 |
2016 USA Republican Party Affiliation | 5558afe896924cb89d317ef17fb1beb3 | 2020 USA Republican Party Affiliation | b632eaa7176240d18e4b9805b03ae2b7 |
2016 USA Restaurant Spending | 8a6f2bb2bad7403082f2d9bb478349c2 | 2020 USA Restaurant Spending | 22064c61da5f46eabfbe57f15fc37242 |
2016 USA Retail Goods Spending | deed2c812c7b4eac97b638554b865162 | 2020 USA Retail Goods Spending | 3e07f2f10cdf422e81a7c8b21239461b |
2016 USA Retail Opportunity | d8746167bad548be9220fbd13fd75b79 | 2017 USA Retail Opportunity (in 2020 Geography) | 70e4fcee44b1407381e89ea934fdd511 |
2016 USA Smartphone Ownership | ade033e890ad447494dc2efc7462896c | 2020 USA Smartphone Ownership | 615661f86c49436aa5743cdead62e7e6 |
2016 USA Tablet/e-Reader Ownership | 59fea0ccbbd94862badfff4008e88260 | 2020 USA Tablet Ownership | 0410d401676f4b439ad9ec939f61dee4 |
2016 USA Tapestry Segmentation | a422e35d395743089893f08c6f4325f6 | 2020 USA Tapestry Segmentation | 564dabde1f6e4f779fb8a571d59076ed |
2016 USA Transportation Fuel Spending | 8e0dc845bafb4bdeb4584b802776462a | 2020 USA Transportation Fuel Spending | dd580cf16c7e4da192b1576640bf67c5 |
2016 USA Unemployment Rate | 3b68e3f9ee464cf397640a558f66e3f3 | 2020 USA Unemployment Rate | 1be23111cbb54bea9c76e36d072305f1 |
2016 USA Water and Public Services Spending | e896e3decb9946e6b2ccea1f33fdb997 | 2020 USA Water and Public Services Spending | ff7b5a47230f435dbd0361a8f9f4ac08 |
2016-2021 USA Population Growth | e594037246514e44a6d1971c513ee548 | 2020-2025 USA Population Growth | 13260948120c4eacadaff3ecd38c8796 |
2017 U.S. demographic map image layers
Retired item | Retired item ID | Replacement item | Replacement item ID |
---|---|---|---|
2017 USA 401(k) Retirement Plans | a58b74d44839431d9d9ec2206a0af1d1 | 2020 USA 401(k) Retirement Plans | bcdc30c714dd42c09fbad5aaa116dc3d |
2017 USA Adults That Exercise Regularly | 4b93706820714a5f8c9023bcba799fe9 | 2020 USA Adults That Exercise Regularly | 64a215a820b54ccfa699bc9d5c766c39 |
2017 USA Alcoholic Beverage Spending | 39a78e18203e42ea8e5469a198869ac0 | 2020 USA Alcoholic Beverage Spending | 53389e4ace004119aef5612e05affd97 |
2016 USA Average Household Income | 4b3e17633560425fa1f68a64ab1b573d | 2020 USA Average Household Income | 1a1436d7ceab4fa9808b0330c7d45bd5 |
2017 USA Average Household Size | e1be0f080b3f42cdb51d530db6a448f5 | 2020 USA Average Household Size | 86b5cedb60024bb7b727f327a350c3d8 |
2017 USA Car Dealership Market Opportunity | 4f836bac36394c02a9d60690bf496f1d | 2017 USA Car Dealership Market Opportunity (in 2020 Geography) | 91d51431e2b2400abd06b5a88bbf1752 |
2017 USA Child Care Spending | 7b2c0175e6934f3984e61b062545c4ec | 2020 USA Child Care Spending | dd73ffb7e0674a14b53de160c3622a49 |
2017 USA Clothing/Accessory Store Market Opportunity | 5e3064cc75f64e77a1ced305819a2af1 | 2017 USA Clothing/Accessory Store Market Opportunity (in 2020 Geography) | 08ff39dfb7c64b0db91fd30ee60b1725 |
2017 USA Coffee Maker Ownership | 0a338ef7a7cc449b8293396069915041 | 2020 USA Coffee Maker Ownership | f315f458cc3447bba5ded688e695758e |
2017 USA Democratic Party Affiliation | 0fcdbacbceca46fe89a3e0e985d35c2c | 2020 USA Democratic Party Affiliation | b5d1494e8509438aa16aa20e6b7206e7 |
2017 USA Diabetes Medication Users (Insulin) | 8b45004fe1b546c89ee30b81fc6f40a0 | 2020 USA Diabetes Medication Users (Insulin) | 0ecfdd8fa63149c8ac1535f309f85422 |
2017 USA Diabetes Medication Users (Non-Insulin) | 98938c99f7494052a21080455263666b | 2020 USA Diabetes Medication Users (Non-Insulin) | c0f8333f937f4a9a929e32287661a520 |
2017 USA Diversity Index | 8ed53c20edce42d59d540139d7a2f004 | 2020 USA Diversity Index | 010f7ddc958d442d8c1583281cf416a5 |
2017 USA Education Spending | de8e9bc2019346d79515e979463c1892 | 2020 USA Education Spending | 6e13c1298b114999a51dc82b72bf2b09 |
2017 USA Electricity Spending | 81000bc235ff4b0da79d1486f11de2ff | USA_Consumer_Expenditures_2017 | 0957035b9daf4795a82b812c2a3eb618 |
2017 USA Electronics Stores Market Opportunity | 0ea9942fba844ebdb579c8338eba9ed3 | 2017 USA Electronics Stores Market Opportunity (in 2020 Geography) | 6fd6b9e32d76424d88960d0a5df11aa0 |
2017 USA Facebook Users | bc62acb7407e45f3aab8402d57f0a8e1 | 2020 USA Facebook Users | d1832a89d5e140d1b03b6a272fdac664 |
2017 USA Food Service Market Opportunity | e0ab940f40e74b74b39b2b5e643e7092 | 2017 USA Food Service Market Opportunity (in 2020 Geography) | 5b34c7b6614a4e468e1307e503c3018a |
2017 USA Food Spending (Away from Home) | 1e3f1b00183c4a849386160f72ba7638 | 2020 USA Food Spending (Away from Home) | 0de0936dc39e49299263e4e5bbf0fa03 |
2017 USA Frequent Coupon Use | 2dddd304dd84436b974a1606a12e9363 | 2020 USA Frequent Coupon Use | 3a7316d7c71340baa2f286a1e7022cb0 |
2017 USA Fruits and Vegetables Spending | 7bfdefa1741c47b59c057de90863db92 | 2020 USA Fruits and Vegetables Spending | 994aa0eeecd54f6aa04a1e5e1f80b996 |
2017 USA Grocery Store Market Opportunity | 83024f0857b546eea6eefd80143fd140 | 2017 USA Grocery Store Market Opportunity (in 2020 Geography) | 54551813d1cf414cb856fed8930053f5 |
2017 U.S. demographic map image layers (continued)
Retired item | Retired item ID | Replacement item | Replacement item ID |
---|---|---|---|
2017 USA Health Care Spending | b319c2910aab4f5eab33d87063eb406c | 2020 USA Health Care Spending | 1e4ce3d6fff54a82862d0dc799d19a6c |
2017 USA Health Insurance Spending | b24608d08a774d409d680a25642fc627 | 2020 USA Health Insurance Spending | 1fb3254792694ee285a835dd5fffc20b |
2017 USA High Credit Card Expenditures | 1570bf61733f466786b7dc7b2f6338e9 | 2020 USA High Credit Card Expenditures | 990aa16fecf145e59a89eef541f25534 |
2017 USA Home Improvement Spending | db8c002774e648b79ae392feb77e42a6 | 2020 USA Home Improvement Spending | bd81da3d96f346898fe87d39b23c077d |
2017 USA Long Commute Time to Work | 85386030826343c7b758246f6abac334 | 2020 USA Long Commute Time to Work | 403b8d86e4c145b7ad9fcc2650a88901 |
2017 USA Median Age | 3cde3c06edc8419a9c2b0a2257eed610 | 2020 USA Median Age | 2848013f6a034e688ae76a798bb49d82 |
2017 USA Median Disposable Income | 580b9adf67be47a6bd682de9f46cd1ae | 2020 USA Median Disposable Income | 239a0e9c32674d0b80290ff4cfe32ec3 |
2017 USA Median Home Value | 4267d9a2d7d84a79907a46e93d28af01 | 2020 USA Median Home Value | d57620bbd2014e9aba7f50102ba15682 |
2017 USA Median Household Income | 0ea39a1b1873449e99446dac24f825b8 | 2020 USA Median Household Income | 20a60423d37c49ba9253526859ba93e1 |
2017 USA Medical Insurance Coverage | 45515a46e76547acbeb1d6723661d0b8 | 2020 USA Medical Insurance Coverage | 8fb63b46c3af43c0b3c69c1c6077adfa |
2017 USA Online Banking | 282a5a2da4ff4d3d86bb4ac79c662043 | 2020 USA Online Banking | 15a3fba44e484fdd93c9b1a5fe5716d5 |
2017 USA Organic Food Consumption | dd6893cd29694a16b40f82f01df47369 | 2020 USA Organic Food Consumption | 92975fbfc0634deab8ce38b92ec3a6e1 |
2017 USA Per Capita Income | a7145a81d1ea4361ae1670017d3ff443 | 2020 USA Per Capita Income | b8751ac7168e4be6b19cc05e63825738 |
2017 USA Pet Spending | d90615a9c0004130a17c9377fce5f93e | 2020 USA Pet Spending | bde319784fdd46c19defbc4f66cc82ff |
2017 USA Phone Services Spending | 6a57d9b635534e9096d4f1c649955265 | 2020 USA Phone Services Spending | 6c2742060a0a45a6b43a5aee05b56d2a |
2017 USA Population Density | b16d74fba48a4919aacfaac2cd77e5e5 | 2020 USA Population Density | b9095ebdf5e8442588ab3f269dc7ee5e |
2017 USA Recycling Habits | f356c3681e684c56bf9a5707928227d7 | 2020 USA Recycling Habits | e8a11f441e2540adb2ce756de8d9b262 |
2017 USA Republican Party Affiliation | 22f1b5b1ab924af490335a0ea05aac91 | 2020 USA Republican Party Affiliation | b632eaa7176240d18e4b9805b03ae2b7 |
2017 USA Restaurant Spending | db3950f3bdf243a6b4a8061c62efbedb | 2020 USA Restaurant Spending | 22064c61da5f46eabfbe57f15fc37242 |
2017 USA Retail Goods Spending | 85431cce674744d991690ee5d925cd78 | 2020 USA Retail Goods Spending | 3e07f2f10cdf422e81a7c8b21239461b |
2017 USA Retail Opportunity | 98227c66034e4ee2803494f7324ea2c8 | 2017 USA Retail Opportunity (in 2020 Geography) | 70e4fcee44b1407381e89ea934fdd511 |
2017 USA Smartphone Ownership | e74fc985381c47f0b525bff870466aaa | 2020 USA Smartphone Ownership | 615661f86c49436aa5743cdead62e7e6 |
2017 USA Tablet Ownership | 84ee4ffdca0441ea90be4be0f95531a3 | 2020 USA Tablet Ownership | 0410d401676f4b439ad9ec939f61dee4 |
2017 USA Tapestry Segmentation | eda0f20edc8448adaa3373cce237a57f | 2020 USA Tapestry Segmentation | 564dabde1f6e4f779fb8a571d59076ed |
2017 USA Transportation Fuel Spending | 5d41e90e1a6544dba6429b25d8059e16 | 2020 USA Transportation Fuel Spending | dd580cf16c7e4da192b1576640bf67c5 |
2017 USA Unemployment Rate | e41a6deca2774f70aec5717787fa1a90 | 2020 USA Unemployment Rate | 1be23111cbb54bea9c76e36d072305f1 |
2017 USA Water and Public Services Spending | cf06fa297b844107a577285c97533caf | 2020 USA Water and Public Services Spending | ff7b5a47230f435dbd0361a8f9f4ac08 |
2017-2021 USA Population Growth | 1a483ae7ef7f47218cf1a69e3c9a22ac | 2020-2025 USA Population Growth | 13260948120c4eacadaff3ecd38c8796 |
Environment items
Retired item | Retired item ID | Item type |
---|---|---|
Downloader Basins 2014 (Mature Support) | e28dd05eb144481b90d39e9ec573ad92 | Web map |
Extract Landscape Source Data (Mature Support) | 06f9e2f5f7ee4efcae283ea389bded15 | Geoprocessing service |
SSURGO Downloader 2014 (Mature Support) | 4dbfecc52f1442eeb368c435251591ec | Web mapping application |
SSURGO Downloader 2014 Basins (Mature Support) | 16fc1a23046a4723bc02059174a40abb | Feature layer |
USA Active Oil and Gas Lease Blocks (Mature Support) | 13d03f9eca634980bdc2e50e2339b997 | Feature layer |
USA Anchorage Areas (Mature Support) | 4082124ec0fe453b9969a01553b825f8 | Feature layer |
USA Bureau of Land Management Lands (Mature Support) | 369b864ec5184359bea0b173a1a1e0af | Feature layer |
USA Cropland (Mature Support) | b7ba5c49e50d4b1fbfcb4e33a0cecf1a | Imagery layer |
USA Deepwater Ports (Mature Support) | f6df84966f564bd0b5c0bddfd9bb6c46 | Feature layer |
USA Federal Lands (Mature Support) | ab96297df6814fbf961f486342fd3aaf | Feature layer |
USA Fish and Wildlife Service Lands (Mature Support) | 128bd2d5912349e6b1cc169ab385bc9c | Feature layer |
USA Forest Service Lands (Mature Support) | 24bdeb50481e4d65b7c33168608b8be6 | Feature layer |
USA National Hydrography Dataset Version 2.1 - Seamless (Mature Support) | 5600cf6b463043ec97b764fb258997be | Map imagery layer |
USA National Park Service Lands (Mature Support) | f949e75b24f546b4b9fb732518d55f56 | Feature layer |
USA NLCD Impervious Surface 2011 (Mature Support) | 624863a9c2484741a9e2cc1ec9c95bce | Imagery layer |
USA NLCD Impervious Surface Change 2006-2011 (Mature Support) | d102449af4a5434cb2aa8f606f5c383f | Imagery layer |
USA NLCD Land Cover 2006 (Mature Support) | 62319c30d36b44cea524cdf8a6df585e | Imagery layer |
USA NLCD Land Cover 2011 (Mature Support) | b6b0caecc08540eba21211f844174e66 | Imagery layer |
USA NLCD Land Cover Change 2006-2011 (Mature Support) | 9cba78a03af1463da674fd28d254ba0e | Imagery layer |
USA OCS Lease Blocks (Mature Support) | 850540f86c744115bcbc369e9a4b5d7a | Feature layer |
USA OCS Planning Areas (Mature Support) | 932cc8e224b94f49b9fc9a361c35965f | Feature layer |
USA Offshore Pipelines (Mature Support) | 5c911162a8694753ba9c5d2c0c114e49 | Feature layer |
USA Protected Areas (Mature Support) | 6ef455dc13b84deba6b098d5efcad984 | Feature layer |
USA Protraction Polygons (Mature Support) | 9fe1da252c0b4822929269c5ee5586d3 | Feature layer |
USA Shipping Fairways Lanes Zones (Mature Support) | 0c112e237b874ee6ab58dba66933ac5e | Feature layer |
USA Soil Map Units (Mature Support) | 0086eb5d16104827a247d49b999a08e5 | Tile layer |
USA Soil Survey (Mature Support) | 204d94c9b1374de9a21574c9efa31164 | Tile layer |
USA Stream Gauges (Mature Support) | d3aba6b6448e4149b6447a2f6155b573 | Map image layer |
USA Surface Water (Mature Support) | 33509270162844e5ac323a5857c4fa2f | Imagery layer |
USA Territorial Sea Boundary (Mature Support) | 2058a22c83fa469e9a91adc1c8c55872 | Feature layer |
USA Unexploded Ordnance (Mature Support) | 9f0d3e328d9f4a178836f5e6430e0a4e | Feature layer |
USA Wetlands 2015 (Mature Support) | b8aeed00ff924710bb05d0671f8f0e75 | Imagery layer |
USA Wildland Fire Potential (Mature Support) | 128875cdf76740189bb7c40eb073805e | Imagery layer |
World Hydro Reference Overlay (Mature Support) | f7c73101a09c44058f8f029eefd37bd6 | Map image layer |
World Precipitation Change 2050 Scenario 2.6 (Mature Support) | d8c9a144d7f14908b7908abd4db1108e | Imagery layer |
World Precipitation Change 2050 Scenario 4.5 (Mature Support) | 094646ace2f14234ae88808ab33b1d55 | Imagery layer |
World Precipitation Change 2050 Scenario 6.0 (Mature Support) | ccc48595f9344e5085b8c1f2a77be238 | Imagery layer |
World Precipitation Change 2050 Scenario 8.5 (Mature Support) | 25caf678a369413b820f370a5b40c179 | Imagery layer |
World Temperature Change 2050 Scenario 2.6 (Mature Support) | af92836b785a4721a310c32a276f641f | Imagery layer |
World Temperature Change 2050 Scenario 4.5 (Mature Support) | 9cbea40e0b104cfab905a950b2e0fe2c | Imagery layer |
World Temperature Change 2050 Scenario 6.0 (Mature Support) | 5f989ab94fb34b91ab1a44a73a9d5e72 | Imagery layer |
World Temperature Change 2050 Scenario 8.5 (Mature Support) | 90d70c14c1744e34943be1129bbdc087 | Imagery layer |