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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Michael J. Choate</dc:contributor>
  <dc:contributor>Md Nahid Hasan</dc:contributor>
  <dc:contributor>Alex Denevan</dc:contributor>
  <dc:creator>Rajagopalan Rengarajan</dc:creator>
  <dc:date>2024</dc:date>
  <dc:description>&lt;div id="abstracts" class="Abstracts u-font-serif text-s"&gt;&lt;div id="ab0005" class="abstract author" lang="en"&gt;&lt;div id="as0005"&gt;&lt;p id="sp0160"&gt;Landsat&lt;span&gt;&amp;nbsp;orthorectified products use Ground Control Points (GCPs) and&amp;nbsp;Digital Elevation Models&amp;nbsp;(DEM) to improve the geolocation accuracy and temporal consistency, and to account for the relief displacements due to the sensor-target geometry. In Collection-2, to improve the geometric harmonization between Landsat and Sentinel-2 (S2) orthorectified products, the Landsat GCP's absolute and relative accuracies were improved using the S2 Global Reference Image (GRI) dataset through a continent-level bundle adjustment method. The GRI is a highly accurate global image dataset that was developed by the European Space Agency (ESA) to improve the S2 multi-temporal geolocation accuracy. Since late August 2021, ESA has been using the GRI dataset in the geometric refinement process to generate S2 terrain-corrected (L1C) products. This paper presents the co-registration accuracy between the Landsat-8 (L8) Collection-2 terrain-corrected products and the S2 L1C products that were processed with and without the use of the GRI dataset. The image-to-image registration (I2I) analysis performed between the L8 and S2 data products over a set of globally distributed tiles shows a significant improvement in their co-registration accuracy when GRI is used in the S2 L1C product generation. The co-registration error is estimated to be &amp;lt;6&amp;nbsp;m circular error at 90% probability (CE90) when GRI is used, and &amp;gt;12&amp;nbsp;m&amp;nbsp;CE90 when GRI is not used in the S2 product generation process. A similar I2I analysis was conducted between S2 L1C products, L8 L1TP products, and L8 and Landsat 9 (L9) L1TP products. The analysis shows that the S2 L1C products are co-registered with each other temporally to better than 5.1&amp;nbsp;m&amp;nbsp;CE90 when GRI is used. The L8 L1TP products and L8 versus L9 L1TP products are both co-registered temporally to better than 3&amp;nbsp;m&amp;nbsp;CE90.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;ul id="issue-navigation" class="issue-navigation u-margin-s-bottom u-bg-grey1"&gt;&lt;/ul&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.rse.2023.113947</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>Co-registration accuracy between Landsat-8 and Sentinel-2 orthorectified products</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>