<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Engineering Research</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Engineering Research</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Инженерные исследования</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2312-8143</issn><issn publication-format="electronic">2312-8151</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">42386</article-id><article-id pub-id-type="doi">10.22363/2312-8143-2024-25-3-308-318</article-id><article-id pub-id-type="edn">ZMCNKM</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Dynamics of Land Use, Land Cover Changes and Their Impacts on Land Surface Temperature Using Satellite Imagery</article-title><trans-title-group xml:lang="ru"><trans-title>Мониторинг влияния на температуру поверхности суши динамики землепользования, изменения растительного покрова</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-1748-6479</contrib-id><contrib-id contrib-id-type="spin">2370-2028</contrib-id><name-alternatives><name xml:lang="en"><surname>Sereke</surname><given-names>Temesghen E.</given-names></name><name xml:lang="ru"><surname>Сереке</surname><given-names>Темесген Эйяссу</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D student of the Department of Geography, Moscow State University of Geodesy and Cartography; Lecturer II at the Department of Geography in College of Business and Social Sciences</p></bio><bio xml:lang="ru"><p>аспирант географического факультета, Московский государственный университет геодезии и картографии; преподаватель, Колледж бизнеса и социальных наук</p></bio><email>temesghensereke@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0771-5522</contrib-id><name-alternatives><name xml:lang="en"><surname>Tesfay</surname><given-names>Tumuzghi</given-names></name><name xml:lang="ru"><surname>Тесфай</surname><given-names>Тумузги</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D student of the Department of Environmental Management, Institute of Environmental Engineering, RUDN University; Lecturer II at Department of Land Resource in Hamelmalo Agricultural College</p></bio><bio xml:lang="ru"><p>аспирант кафедры экологического менеджмента, Институт инженерной экологии, Российский университет дружбы народов; преподаватель, Сельскохозяйственный колледж Хамельмало</p></bio><email>tumuzghitesfay7@gmail.com</email><xref ref-type="aff" rid="aff3"/><xref ref-type="aff" rid="aff4"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5072-1859</contrib-id><contrib-id contrib-id-type="spin">9691-2510</contrib-id><name-alternatives><name xml:lang="en"><surname>Bratkov</surname><given-names>Vitaly V.</given-names></name><name xml:lang="ru"><surname>Братков</surname><given-names>Виталий Викторович</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Geographical Sciences, Head of the Department of Geography</p></bio><bio xml:lang="ru"><p>доктор географических наук, заведующий кафедрой географии</p></bio><email>vbratkov@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5703-4621</contrib-id><name-alternatives><name xml:lang="en"><surname>Mohamed</surname><given-names>Elsayed S.</given-names></name><name xml:lang="ru"><surname>Мохамед</surname><given-names>Эльсайд Саид</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor of the Department of Environmental Management, specialized in soil sciences and remote sensing, Institute of Environmental Engineering; Researcher of the Department Soil Science, National Authority for Remote Sensing and Space Sciences</p></bio><bio xml:lang="ru"><p>профессор кафедры экологического менеджмента, специалист по почвоведению и дистанционному зондированию, Институт инженерной экологии, Российский университет дружбы народов; научный сотрудник департамента почвоведения, Национальное управление по дистанционному зондированию и космическим наукам</p></bio><email>salama55@gmail.com</email><xref ref-type="aff" rid="aff3"/><xref ref-type="aff" rid="aff5"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6577-0087</contrib-id><name-alternatives><name xml:lang="en"><surname>Quyen</surname><given-names>Dinh T.</given-names></name><name xml:lang="ru"><surname>Куин</surname><given-names>Динь Туен</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD Student in the Faculty of Cartography, Department of Space Monitoring and Ecology</p></bio><bio xml:lang="ru"><p>аспирант кафедры космического мониторинга и экологии</p></bio><email>quyendinhtuyen97@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow State University of Geodesy and Cartography</institution></aff><aff><institution xml:lang="ru">Московский государственный университет геодезии и картографии</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">College of Business and Social Sciences</institution></aff><aff><institution xml:lang="ru">Колледж бизнеса и социальных наук</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">RUDN University</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><aff-alternatives id="aff4"><aff><institution xml:lang="en">Hamelmalo Agricultural College</institution></aff><aff><institution xml:lang="ru">Сельскохозяйственный колледж Дамельмало</institution></aff></aff-alternatives><aff-alternatives id="aff5"><aff><institution xml:lang="en">National Authority for Remote Sensing and Space Sciences</institution></aff><aff><institution xml:lang="ru">Национальное управление по дистанционному зондированию и космическим наукам</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2024</year></pub-date><volume>25</volume><issue>3</issue><issue-title xml:lang="en">VOL 25, NO3 (2024)</issue-title><issue-title xml:lang="ru">ТОМ 25, №3 (2024)</issue-title><fpage>308</fpage><lpage>318</lpage><history><date date-type="received" iso-8601-date="2025-01-10"><day>10</day><month>01</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Sereke T.E., Tesfay T., Bratkov V.V., Mohamed E.S., Quyen D.T.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Сереке Т.Э., Тесфай Т., Братков В.В., Мохамед Э.С., Куин Д.Т.</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Sereke T.E., Tesfay T., Bratkov V.V., Mohamed E.S., Quyen D.T.</copyright-holder><copyright-holder xml:lang="ru">Сереке Т.Э., Тесфай Т., Братков В.В., Мохамед Э.С., Куин Д.Т.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0/legalcode</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/engineering-researches/article/view/42386">https://journals.rudn.ru/engineering-researches/article/view/42386</self-uri><abstract xml:lang="en"><p>Population growth and urbanization have resulted in land use/land cover (LULC) changes and affect land surface temperature (LST), which contributes to global warming. The study aimed to detect the LULC changes across Mendefera, Eritrea, from 2002 to 2022, and examine their impacts on LST. Two Landsat-7 ETM and One Landsat OLI_TRI-8 images from 2002, 2012 and 2022 were utilized. A supervised vector machine algorithm was used to classify LULC. Overall accuracy and Kappa coefficient were calculated. Linear regression was performed to show the relationship between Normalized Difference Vegetation Index (NDVI) and LST. The study found remarkable LULC changes in the study area 2002-2022. Built-up and agricultural areas increased by 113.5 and 64.4% respectively, whereas natural vegetation and open areas decreased by 77.6 and 24.8%, respectively. The highest and lowest mean LST were recorded in built-up (35oC) and natural vegetation (29.7oC) areas, respectively. Generally, mean LST decreased by 3.3oC in the study area from 2002 to 2022, and a negative correlation was observed between NDVI and LST. Thus, the study concludes that urbanization causes vegetation degradation, abrupt built-up growth and urban heat islands. The study will help planners and decisions-makers in planning appropriate mechanisms in land use planning and climate change mitigation.</p></abstract><trans-abstract xml:lang="ru"><p>Рост населения и урбанизация привели к изменениям в растительном покрове, которые влияют на температуру поверхности суши, что способствует глобальному потеплению. Цель исследования - выявление изменений в растительном покрове в Мендефере, Эритрея, за период с 2002 по 2022 г. и изучение их влияние на температуру поверхности суши. Были использованы два снимка Landsat-7 ETM и один снимок Landsat OLI_TRI-8, сделанные в 2002, 2012 и 2022 гг. Для классификации изменений в растительном покрове применен алгоритм управляемой векторной обработки. Рассчитаны коэффициенты достоверности и коэффициент Каппа. Для отображения взаимосвязи между нормализованным вегетационным индексом и температурой поверхности суши сгенерирована линейная регрессия. В ходе исследования отмечены значительные изменения растительного покрова в исследуемой области в 2002-2022 гг. Площадь застройки и сельскохозяйственных угодий увеличилась на 113,5 и 64,4 % соответственно, в то время как естественная растительность и открытые пространства сократились на 77,6 и 24,8 % соответственно. Самый высокий и самый низкий средние значения изменений в растительном покрове отмечены в населенных пунктах (35 °C) и естественной растительности (29,7 °C) соответственно, но в целом средние значения изменений в растительном покрове снизились на 3,3 °C в исследуемой области с 2002 по 2022 г., и наблюдалась отрицательная корреляция между нормализованным вегетационным индексом и изменениями в растительном покрове. Таким образом, сделан вывод о том, что урбанизация приводит к деградации растительности, резкому росту застройки и появлению городских островов тепла. Исследование поможет специалистам по планированию и лицам, принимающим решения, разработать соответствующие механизмы для планирования землепользования и смягчения последствий изменения климата.</p></trans-abstract><kwd-group xml:lang="en"><kwd>land use/land cover</kwd><kwd>land surface temperature</kwd><kwd>overall accuracy</kwd><kwd>Kappa coefficient</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>землепользование</kwd><kwd>температура поверхности Земли</kwd><kwd>общая точность</kwd><kwd>коэффициент Каппа</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Amini S, Saber M, Rabiei-Dastjerdi H, Homayouni S. Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series. Remote Sens. 2022;14(11):2654. https://doi.org/10.3390/rs14112654</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Dissanayake DMSLB. Land use change and its impacts on land surface temperature in Galle city, Sri Lanka. Climate. 2020;8(5):65. https://doi.org/10.3390/CLI8050065</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Dissanayake DMSLB, Morimoto T, Murayama Y, Ranagalage M. Impact of landscape structure on the variation of land surface temperature in Sub-Saharan Region: A case study of Addis Ababa using Landsat Data (1986-2016). Sustainability. 2019;11(8):2257. https://doi.org/10.3390/su11082257</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Opelele OM, Yu Y, Fan W, et al. Analysis of the impact of land-use/land-cover change on land-surface temperature in the villages within the luki biosphere reserve. Sustainability. 2021;13(20). https://doi.org/10.3390/su132 011242</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Arsiso BK, Mengistu Tsidu G, Stoffberg GH, Tadesse T. Influence of Urbanization-Driven Land Use/Cover Change on Climate: The Case of Addis Ababa, Ethiopia. Physics and Chemistry of the Earth. 2018;10:212-223. https://doi.org/10.1016/j.pce.2018.02.009</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Ibrahim GRF. Urban land use/land cover changes and their effect on land surface temperature: Case study using Dohuk City in the Kurdistan Region of Iraq. Climate. 2017;5(1). https://doi.org/10.3390/cli5010013</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Hashim H, Latif ZA, Adnan NA. Land use land cover analysis with pixel-based classification approach. Indonesian Journal of Electrical Engineering and Computer Science. 2019;16(3):1327-1333. https://doi.org/10.11591/ijeecs.v16.i3.pp1327-1333</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Basheer S, Wang X, Farooque AA, Nawaz RA, Liu K, Adekanmbi T, Liu S. Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques. Remote Sens (Basel). 2022; 14(19):4978. https://doi.org/10.3390/rs14194978</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Measho S, Chen B, Pellikka P, Trisurat Y, Guo L, Sun S, Zhang H. Land Use/Land Cover Changes and Associated Impacts on Water Yield Availability and Variations in the Mereb-Gash River Basin in the Horn of Africa. J Geophys Res Biogeosci. 2020;125(7):e2020JG005632. https://doi.org/10.1029/2020JG005632</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Saharan MA, Vyas N, Borana SL, Yadav SK. Classification and Assessment of the Land Use - Land Cover Changes in Jodhpur City Using Remote Sensing Technologies. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018;XLII-5:767-771. https://doi.org/10.5194/isprs-archives-xlii-5-767-2018</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Rousta I, Sarif MO, Gupta RD, Olafsson H, Ranagalage M, Murayama Yu, Zhang H, Darlington Mushore T. Spatiotemporal analysis of land use/land cover and its effects on surface urban heat Island using Landsat data: A case study of Metropolitan City Tehran (1988-2018). Sustainability. 2018;10(12);4433. https://doi.org/10.3390/su10124433</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Javaid K, Ghafoor GZ, Sharif F, Shahid MG, Shahzad L, Ghafoor N, Hayyat MU, Farhan M. Spatiotemporal analysis of land use/land cover change and its impact on land surface temperature of Sialkot City, Pakistan. Nature/Scientific Reports. 2023;13(1):22166. https://doi.org/10.1038/s41598-023-49608-x</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Sam SC, Balasubramanian G. Spatiotemporal detection of land use/land cover changes and land surface temperature using Landsat and MODIS data across the coastal Kanyakumari district, India. Geodesy and Geodynamics. 2022;14(2023):172-181. https://doi.org/10.1016/j.geog.2022.09.002</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Xue J, Su B. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications. Journal of Sensors. 2017(1):1-17. https://doi.org/10.1155/2017/1353691</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Tewolde MG, Cabral P. Urban sprawl analysis and modeling in Asmara, Eritrea. Remote Sens (Basel). 2011; 3(10):2148-2165. https://doi.org/10.3390/rs3102148</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Priyankara P, Ranagalage M, Dissanayake DMSLB, MorimotoT , Murayama Y. Spatial process of surface urban heat island in rapidly growing Seoul metropolitan area for sustainable urban planning using landsat data (1996-2017). Climate. 2019;7(9):110. https://doi.org/10.3390/cli7090110</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Sereke T, Bratkov V, Aristarkhova V. Allocation of land categories using the maximum likelihood algorithm based on landsat 8 images (using the example of the mendefera subzone, Eritrea). Мonitoring. Science &amp; technologies. 2023;2(56):63-69. https://doi.org/10.25714/MNT.2023.56.009</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Anandababu D, Purushothaman BM, Suresh BS. Estimation of Land Surface Temperature Using LANDSAT 8 Data. International Journal of Advance Research, Ideas and Innovations in Technology. 2018;4(2):177–186. Available from: https://www.ijariit.com/manuscripts/v4i2/V4I2–1195.pdf (accessed:22.02.2024).</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Sekertekin A, Bonafoni S. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: Assessment of different retrieval algorithms and emissivity models and toolbox implementation. Remote Sens. 2020; 12(2):294. https://doi.org/10.3390/rs12020294</mixed-citation></ref></ref-list></back></article>
