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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</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-archives-XLIX-B3-2026-995-2026</article-id>
<title-group>
<article-title>Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lojan-Tenesaca</surname>
<given-names>Henrry</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chuizaca-Espinoza</surname>
<given-names>Isabel Adriana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Velástegui-Montoya</surname>
<given-names>Andrés</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Escandón-Panchana</surname>
<given-names>Paulo</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yépez-Rincón</surname>
<given-names>Fabiola D.</given-names>
<ext-link>https://orcid.org/0000-0001-5025-9967</ext-link>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rodriguez González</surname>
<given-names>Kevin</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Faculty of Engineering in Earth Sciences, ESPOL Polytechnic University, Guayaquil, Ecuador</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José Dos Campos, Brazil</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Laboratory of Geoinformation and Remote Sensing, Faculty of Engineering in Earth Sciences, ESPOL Polytechnic University, Guayaquil, Ecuador</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Departamento de Ingeniería Cartográfica y Topografía, Universidad Politécnica de Madrid (UPM), Madrid, Spain</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Escuela de Ciencias Ambientales, Universidad Espíritu Santo, Samborondón, 0901952, Ecuador</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Universidad Autónoma de Nuevo León, Faculty of Civil Engineering, Department of Geomatics, San Nicolás de los Garza, Nuevo León, México</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>XLIX-B3-2026</volume>
<fpage>995</fpage>
<lpage>1002</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Henrry Lojan-Tenesaca 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-archives.copernicus.org/articles/XLIX-B3-2026/995/2026/isprs-archives-XLIX-B3-2026-995-2026.html">This article is available from https://isprs-archives.copernicus.org/articles/XLIX-B3-2026/995/2026/isprs-archives-XLIX-B3-2026-995-2026.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLIX-B3-2026/995/2026/isprs-archives-XLIX-B3-2026-995-2026.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLIX-B3-2026/995/2026/isprs-archives-XLIX-B3-2026-995-2026.pdf</self-uri>
<abstract>
<p>The Zamora Chinchipe province, in the Ecuadorian Amazon, concentrates 18% of the country&apos;s continental protected areas and simultaneously records the highest intensity of gold mining activity in the Amazonian region, creating a critical tension between conservation and extraction. This study evaluates the spatial distribution and intensity of mining activity, expressed in mining points/km&amp;sup2;, in the buffer zones of six protected areas of the National System of Protected Areas (SNAP) in Zamora Chinchipe, through the integration of MapBiomas Ecuador 2023 land use and land cover maps, produced at 30 m spatial resolution via Random Forest classification, and the application of the Kernel Density Estimation (KDE) method in a GIS environment. The MapBiomas mining class, validated with an overall accuracy exceeding 85% for Ecuador, captures surface disturbance associated with artisanal and small-scale gold mining at landscape scale, providing a reliable and replicable input for spatial pressure analysis. The results reveal that 89% of medium and high-intensity hotspots are located less than 500 m from permanent water bodies, demonstrating the strong hydrographic dependence of alluvial mining. Significant differences are identified according to governance model: state-administered areas such as Podocarpus National Park and Cerro Plateado Biological Reserve show the highest mining intensities, while territories under local or community management such as Yacuambi and Tiwi Nunka record minimal pressures. This study demonstrates the potential of open-access satellite data and spatial analysis as accessible and replicable tools for guiding conservation policies in the face of mining expansion in the Ecuadorian Amazon.</p>
</abstract>
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