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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-XI-3-2026-663-2026</article-id>
<title-group>
<article-title>Use of Remote Sensing and In Situ Monitoring to Evaluate Turbidity in an Open-Pit Mining Lake</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>da Cunha Vieira</surname>
<given-names>Luisa</given-names>
<ext-link>https://orcid.org/0000-0001-8631-0867</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marques de Magalhães</surname>
<given-names>Danilo</given-names>
<ext-link>https://orcid.org/0000-0001-9306-4326</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fagundes</surname>
<given-names>Hugo de Oliveira</given-names>
<ext-link>https://orcid.org/0000-0003-2121-3059</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geotechnical Project Management, BVP Geotecnia e Hidrotecnia, Belo Horizonte, Brazil</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Dept. of Geography and Environmental Planning, São Paulo State University, Rio Claro, Brazil</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Water Resources Department, Campinas State University, Campinas, Brazil</addr-line>
</aff>
<pub-date pub-type="epub">
<day>08</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>XI-3-2026</volume>
<fpage>663</fpage>
<lpage>670</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Luisa da Cunha Vieira et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-3-2026/663/2026/isprs-annals-XI-3-2026-663-2026.html">This article is available from https://isprs-annals.copernicus.org/articles/XI-3-2026/663/2026/isprs-annals-XI-3-2026-663-2026.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-3-2026/663/2026/isprs-annals-XI-3-2026-663-2026.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/XI-3-2026/663/2026/isprs-annals-XI-3-2026-663-2026.pdf</self-uri>
<abstract>
<p>The formation of pit lakes in decommissioned open-pit mines has raised concerns regarding long-term water quality. Turbidity, a key indicator of suspended particulate matter, influences water clarity and aquatic ecological processes. This study estimates surface turbidity in the &amp;Aacute;guas Claras Mine (MAC) pit lake in Nova Lima, Brazil, using satellite imagery and in situ data to generate a continuous time series and assess compliance with thresholds established by current Brazilian environmental legislation. Landsat 5 and 8 imagery were used to derive a spectral turbidity index. Based on the temporal overlap between satellite and field data, a linear regression model (R&amp;sup2; = 0.77) was developed and applied to extend the turbidity time series. The results indicate that turbidity values remained below the legal limits for Class 1 freshwater. Higher turbidity levels were observed during the initial filling phase, associated with exposed slopes, as well as episodic increases during the rainy season due to sediment runoff. Over time, progressive revegetation and minimal anthropogenic disturbance contributed to the stabilization of water quality conditions. The integration of in situ measurements and remote sensing proved to be an effective approach for monitoring water quality in post-mining environments, supporting both environmental liability assessment and closure management.</p>
</abstract>
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