<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<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-XLVIII-4-W21-2025-13-2026</article-id>
<title-group>
<article-title>Assessing Large-Scale Healthcare Resource Accessibility Using Remote Sensing and Geospatial Analysis: A Case Study of Wildfire-Exposed Regions in Africa</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hu</surname>
<given-names>Ling</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>Hochschild</surname>
<given-names>Volker</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>Neidhardt</surname>
<given-names>Harald</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geosciences, University of Tübingen, Rümelinstraße 19-23, 72072 Tübingen, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>17</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>XLVIII-4/W21-2025</volume>
<fpage>13</fpage>
<lpage>17</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Ling Hu 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/XLVIII-4-W21-2025/13/2026/isprs-archives-XLVIII-4-W21-2025-13-2026.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-4-W21-2025/13/2026/isprs-archives-XLVIII-4-W21-2025-13-2026.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-4-W21-2025/13/2026/isprs-archives-XLVIII-4-W21-2025-13-2026.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-4-W21-2025/13/2026/isprs-archives-XLVIII-4-W21-2025-13-2026.pdf</self-uri>
<abstract>
<p>Wildfire smoke exposure is an emerging public health challenge across Africa, yet its interaction with healthcare accessibility remains poorly characterised. We developed the Health-Exposure-Resource Mismatch Index (HERMI), combining satellite-derived PM&lt;sub&gt;2.5&lt;/sub&gt;, population density, and geocoded health facilities to quantify spatial imbalances between exposure and care. Nearly two-thirds of Africa&amp;rsquo;s population live in areas of mismatch, with severe hotspots in Angola, the Central African Republic, and South Sudan. Urban centres show lower mismatch despite higher exposure, underscoring the role of healthcare capacity in mitigating environmental risks. Although constrained by incomplete facility data and simplified accessibility measures, HERMI provides a scalable framework to identify intervention priorities and delivers actionable evidence for climate-resilient health planning across the continent.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>