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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2026-4503</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-5047</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH PAPER</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>What are the key elements influencing urban thermal comfort in large urban areas? A holistic remote sensing approach</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Alov</surname><given-names>Ivan N.</given-names></name></name-alternatives><bio xml:lang="en"><p>6 Miklukho-Maklaya St., Moscow, 117198</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Petrović</surname><given-names>Marko D.</given-names></name></name-alternatives><bio xml:lang="en"><p>6 Miklukho-Maklaya St., Moscow, 117198</p><p>9 Djure Jakšića St., Belgrade, 11000</p></bio><email xlink:type="simple">m.petrovic@gi.sanu.ac.rs</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Bulgakov</surname><given-names>Ruslan A.</given-names></name></name-alternatives><bio xml:lang="en"><p>41 Zharokova St., Almaty, 050051</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Ganzhinova</surname><given-names>Sofia A.</given-names></name></name-alternatives><bio xml:lang="en"><p>1/1 Marshala Vasilevskogo St., Moscow, 123098</p></bio><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Tyupanov</surname><given-names>Sergey N.</given-names></name></name-alternatives><bio xml:lang="en"><p>41 Zharokova St., Almaty, 050051</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Shukirbayeva</surname><given-names>Dana</given-names></name></name-alternatives><bio xml:lang="en"><p>41 Zharokova St., Almaty, 050051</p></bio><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Peoples’ Friendship University of Russia (RUDN University), Faculty of Economics, Department of Regional Economics and Geography</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-2"><institution>Peoples’ Friendship University of Russia (RUDN University), Faculty of Economics, Department of Regional Economics and Geography; Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts,</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-3"><institution>Qala AI Ltd</institution><country>Kazakhstan</country></aff><aff xml:lang="en" id="aff-4"><institution>Terra Vista</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>09</day><month>10</month><year>2026</year></pub-date><volume>19</volume><issue>3</issue><fpage>87</fpage><lpage>98</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Alov I.N., Petrović M.D., Bulgakov R.A., Ganzhinova S.A., Tyupanov S.N., Shukirbayeva D., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Alov I.N., Petrović M.D., Bulgakov R.A., Ganzhinova S.A., Tyupanov S.N., Shukirbayeva D.</copyright-holder><copyright-holder xml:lang="en">Alov I.N., Petrović M.D., Bulgakov R.A., Ganzhinova S.A., Tyupanov S.N., Shukirbayeva D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/5047">https://ges.rgo.ru/jour/article/view/5047</self-uri><abstract><p>This paper presents a methodology to assess the effects of rising surface temperatures and greening on urban thermal comfort and resilience. Landsat 8 satellite images were collected and analyzed for 80 large urban areas from the C40 network. The Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) were calculated. Using UN population forecasts, a forecast model for LST and NDVI dynamics was developed. The analysis reveals that population density may be a stronger predictor of urban heat island exposure than climate zone or vegetation cover, with high-density areas showing substantially higher LST values even when vegetation cover is held constant. Based on Köppen climate zones, urban areas are expected to experience diverging temperature futures. The most concerning LST increases are projected for BWh (hot desert), Cfa (humid subtropical), and Dwa (continental with dry winter, hot summer) zones. Cfa and Dwa areas are predicted to become the hottest overall. BWh zones, while less troubled today, will likely see a sharp LST rise, driven by hyper-urbanization and the disproportionate impact of global warming on arid regions. Paradoxically, while BWh areas may see a slight NDVI increase, their warming trend is still expected to continue beyond a temporary dip forecast for Cfa and Dwa zones. This underscores that only decisive policy action can help these vulnerable areas mitigate the negative effects. </p></abstract><kwd-group xml:lang="en"><kwd>urban thermal comfort</kwd><kwd>urban health</kwd><kwd>urban resilience</kwd><kwd>LST</kwd><kwd>NDVI</kwd></kwd-group><funding-group><funding-statement xml:lang="en">The research was supported by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia (Contract No. 451-03-33/2026-03/200172), and by the RUDN University (Grant No. 060510-0-000).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Aghamolaei R., Azizi M. M., Aminzadeh B., &amp; O’Donnell J. (2023). A comprehensive review of outdoor thermal comfort in urban areas: Effective parameters and approaches. Energy &amp; Environment, 34(6), 2204–2227. 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