<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Extracting raster from Image Service pulled from Living Atlas in ArcGIS Pro Questions</title>
    <link>https://community.esri.com/t5/arcgis-pro-questions/extracting-raster-from-image-service-pulled-from/m-p/540996#M23813</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If I understand correctly, you want to select the different vintages of NAIP NDVI over a particular area or point of interest, and then display the images for visual comparison.&lt;/P&gt;&lt;P&gt;Here are a few quick steps to accomplish this in Pro (for a specific point of interest):&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Load the NAIP imagery layer from the Living Atlas&lt;/LI&gt;&lt;LI&gt;Use the Explore (identify) tool to get the ‘Quandrant Key’ for&amp;nbsp;the target location&lt;/LI&gt;&lt;LI&gt;Use Select by Attributes (‘QKey’) to select all available images for the ‘Quadrant Key’ identified&lt;/LI&gt;&lt;LI&gt;Add the selected images as layers: &amp;nbsp;Data-&amp;gt; Operations-&amp;gt;Add to Map&lt;/LI&gt;&lt;LI&gt;Toggle or swipe between images to visually detect any changes&lt;/LI&gt;&lt;LI&gt;NOTE:&amp;nbsp; You can also explore and compare other visual renderings of each image under Data-&amp;gt;Processing Templates.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;Hopefully this will give you the results you are expecting.&amp;nbsp; If your desire is to select the entire state of Louisiana, you could do so using the ‘State’ attribute.&amp;nbsp; However, please note that this will select and load a very large number of images.&amp;nbsp;&lt;/P&gt;&lt;P&gt;The steps listed above assume some working knowledge of Pro.&amp;nbsp; Let me know if you need more details, if you run into issues, or if you were looking for something else altogether.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 17 May 2018 19:38:31 GMT</pubDate>
    <dc:creator>RobertWaterman</dc:creator>
    <dc:date>2018-05-17T19:38:31Z</dc:date>
    <item>
      <title>Extracting raster from Image Service pulled from Living Atlas</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/extracting-raster-from-image-service-pulled-from/m-p/540995#M23812</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am attempting to extract certain raster datasets from an Image Service and was curious if someone could provide guidance on how this is done - or if it is even possible.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Specifically, I'm trying to work with the&amp;nbsp;USA NAIP Imagery - NDVI image service that I have pulled into my ArcGIS Pro map from the Living Atlas.&amp;nbsp; There is a particular area in Louisiana that I would like to see if there has been property damage over the course of several years.&amp;nbsp; Therefore, I want to look at the NDVI from various years around the same annual date for the same location.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When I open the attribute table I see all the different raster datasets including the Acquisition Date and State.&amp;nbsp; Is there a way to extract specific raster dataset images from this image service that include just Louisiana and from certain years?&amp;nbsp; If so, how would I do that?&amp;nbsp; I've tried Selection by Attribute but nothing is being processed.&amp;nbsp; I assume because the file is so big.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you in advance for your assistance.&amp;nbsp;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 16 May 2018 17:04:00 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/extracting-raster-from-image-service-pulled-from/m-p/540995#M23812</guid>
      <dc:creator>ErikMayo</dc:creator>
      <dc:date>2018-05-16T17:04:00Z</dc:date>
    </item>
    <item>
      <title>Re: Extracting raster from Image Service pulled from Living Atlas</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/extracting-raster-from-image-service-pulled-from/m-p/540996#M23813</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If I understand correctly, you want to select the different vintages of NAIP NDVI over a particular area or point of interest, and then display the images for visual comparison.&lt;/P&gt;&lt;P&gt;Here are a few quick steps to accomplish this in Pro (for a specific point of interest):&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Load the NAIP imagery layer from the Living Atlas&lt;/LI&gt;&lt;LI&gt;Use the Explore (identify) tool to get the ‘Quandrant Key’ for&amp;nbsp;the target location&lt;/LI&gt;&lt;LI&gt;Use Select by Attributes (‘QKey’) to select all available images for the ‘Quadrant Key’ identified&lt;/LI&gt;&lt;LI&gt;Add the selected images as layers: &amp;nbsp;Data-&amp;gt; Operations-&amp;gt;Add to Map&lt;/LI&gt;&lt;LI&gt;Toggle or swipe between images to visually detect any changes&lt;/LI&gt;&lt;LI&gt;NOTE:&amp;nbsp; You can also explore and compare other visual renderings of each image under Data-&amp;gt;Processing Templates.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;Hopefully this will give you the results you are expecting.&amp;nbsp; If your desire is to select the entire state of Louisiana, you could do so using the ‘State’ attribute.&amp;nbsp; However, please note that this will select and load a very large number of images.&amp;nbsp;&lt;/P&gt;&lt;P&gt;The steps listed above assume some working knowledge of Pro.&amp;nbsp; Let me know if you need more details, if you run into issues, or if you were looking for something else altogether.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 17 May 2018 19:38:31 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/extracting-raster-from-image-service-pulled-from/m-p/540996#M23813</guid>
      <dc:creator>RobertWaterman</dc:creator>
      <dc:date>2018-05-17T19:38:31Z</dc:date>
    </item>
  </channel>
</rss>

