<?xml version='1.0' encoding='utf-8'?>
<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>David P. Roy</dc:contributor>
  <dc:contributor>Jeffrey Masek</dc:contributor>
  <dc:contributor>Ferran Gascon</dc:contributor>
  <dc:contributor>John L. Dwyer</dc:contributor>
  <dc:contributor>Mike Choate</dc:contributor>
  <dc:creator>James C. Storey</dc:creator>
  <dc:date>2016</dc:date>
  <dc:description>The Landsat-8 and Sentinel-2 sensors provide multi-spectral image data with similar spectral and spatial characteristics that together provide improved temporal coverage globally. Both systems are designed to register Level 1 products to a reference image framework, however, the Landsat-8 framework, based upon the Global Land Survey images, contains residual geolocation errors leading to an expected sensor-to-sensor misregistration of 38 m (2σ). These misalignments vary geographically but should be stable for a given area. The Landsat framework will be readjusted for consistency with the Sentinel-2 Global Reference Image, with completion expected in 2018. In the interim, users can measure Landsat-to-Sentinel tie points to quantify the misalignment in their area of interest and if appropriate to reproject the data to better alignment.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.rse.2016.08.025</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>American Elsevier Pub. Co.</dc:publisher>
  <dc:title>A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>