<?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>Tessa Julianne Code</dc:contributor>
  <dc:contributor>Curtis L. DeGasperi</dc:contributor>
  <dc:contributor>David Beauchamp</dc:contributor>
  <dc:contributor>Arielle Tonus Ellis</dc:contributor>
  <dc:contributor>Arni H. Litt</dc:contributor>
  <dc:creator>Jennifer A. Schulien</dc:creator>
  <dc:date>2023</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Water clarity, defined in this study using measurements of the downwelling diffuse light attenuation coefficient (K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;) and turbidity, is an important indicator of lake trophic status and ecosystem health. We used in-situ measurements to evaluate existing semi-analytical models for K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;&amp;nbsp;and turbidity, developed a regional turbidity model based on spectral shape, and evaluated the spatial and temporal trends in Lake Washington from 2013 to 2022 using Landsat-8/9 Operational Land Imager (OLI). We found no significant trends from 2013 to 2022 in K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;&amp;nbsp;or turbidity when both the annual and full datasets were considered. In addition to the spring peak lasting from April through June, autumn K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;&amp;nbsp;peaks were present at all sites, a pattern consistent with seasonal chlorophyll&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;a&lt;/span&gt;&lt;span&gt;&amp;nbsp;and zooplankton concentrations. There existed no autumn peak in the monthly turbidity dataset, and the spring peak occurred two months before the K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;&amp;nbsp;peak, nearly mirroring seasonal variability in the Cedar River discharge rates over the same period. The K&lt;/span&gt;&lt;sub&gt;d&lt;/sub&gt;&lt;span&gt;&amp;nbsp;and turbidity algorithms were thus each more sensitive to different sources of water clarity variability in Lake Washington.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3390/rs15205055</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>MPDI</dc:publisher>
  <dc:title>Annual and inter-annual variability in the diffuse attenuation coefficient and turbidity in an urbanized Washington lake from 2013 to 2022 assessed using Landsat-8/9</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>