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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2026-701</article-id>
<title-group>
<article-title>A Geographically Validated Administrative Wildfire Inventory for T&amp;uuml;rkiye (2013&amp;ndash;2025)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ekberzade</surname>
<given-names>Bikem</given-names>
<ext-link>https://orcid.org/0000-0002-3271-2040</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Istanbul Technical University, Eurasia Institute of Earth Sciences, Istanbul, Turkey</addr-line>
</aff>
<pub-date pub-type="epub">
<day>01</day>
<month>10</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>20</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Bikem Ekberzade</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://essd.copernicus.org/preprints/essd-2026-701/">This article is available from https://essd.copernicus.org/preprints/essd-2026-701/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-701/essd-2026-701.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-701/essd-2026-701.pdf</self-uri>
<abstract>
<p>Administrative wildfire records provide an essential foundation for understanding fire regimes, evaluating fire management practices, and supporting Earth system research. However, their scientific utility is often limited by typographical errors, inaccurate geographic coordinates, and inconsistencies between recorded administrative locations and GPS positions. This dataset presents a geographically validated administrative wildfire inventory for T&amp;uuml;rkiye spanning 2013&amp;ndash;2025, derived from official records maintained by the General Directorate of Forestry (OGM). The original archive was processed using a reproducible five-stage geographic validation workflow designed to systematically identify, reconcile, and document spatial inconsistencies while preserving the integrity of the underlying fire records. The workflow combines administrative text harmonization, spatial verification against official district boundaries, satellite-assisted coordinate recovery using NASA VIIRS Active Fires / Thermal Anomalies detections, distance-based border assessment, and conservative on-land coordinate imputation for irrecoverable records. Rather than discarding records with erroneous coordinates, the methodology prioritizes recovery of validated fire locations and, where this is not possible, preserves the statistical record while explicitly preventing misleading spatial interpretations. To ensure complete transparency, every wildfire record includes a provenance flag indicating whether its coordinates are original (administratively validated), satellite-corrected, border-accepted, or conservatively imputed. The resulting inventory substantially improves the spatial consistency and analytical reliability of T&amp;uuml;rkiye&amp;rsquo;s historical wildfire archive while preserving its original event attributes. This openly available dataset serves as a valuable contribution to wildfire regime analysis, validation of remote sensing products and Earth system model outputs, and operational wildfire research throughout T&amp;uuml;rkiye and the eastern Mediterranean.</p>
</abstract>
<counts><page-count count="20"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi</funding-source>
<award-id>MGA-2026-47431</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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</article>