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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">geomorf</journal-id><journal-title-group><journal-title xml:lang="ru">Геоморфология и палеогеография</journal-title><trans-title-group xml:lang="en"><trans-title>Geomorfologiya i Paleogeografiya</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2949-1789</issn><issn pub-type="epub">2949-1797</issn><publisher><publisher-name></publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31857/10.31857/S2949178925020118</article-id><article-id custom-type="edn" pub-id-type="custom">GQLSPS</article-id><article-id custom-type="elpub" pub-id-type="custom">geomorf-3664</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="ru"><subject>Методы исследований</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Research methods</subject></subj-group></article-categories><title-group><article-title>Метод анализа макроскопических частиц угля в озерных и болотных отложениях по цифровому изображению для палеогеографических реконструкций</article-title><trans-title-group xml:lang="en"><trans-title>Digital images analysis of macroscopic charcoal particles from lake and peat sediments for palaeogeographic reconstruction</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7660-6944</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шатунов</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Shatunov</surname><given-names>A. Е.</given-names></name></name-alternatives><email xlink:type="simple">toxavilli@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4759-8703</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мазей</surname><given-names>Н. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Mazei</surname><given-names>N. G.</given-names></name></name-alternatives><email xlink:type="simple">natashamazei@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2174-8467</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Новенко</surname><given-names>Е. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Novenko</surname><given-names>Е. Yu.</given-names></name></name-alternatives><email xlink:type="simple">lenanov@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт географии РАН, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Geography, Russian Academy of Sciences, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский государственный университет имени М. В. Ломоносова, географический факультет, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lomonosov Moscow State University, Faculty of Geography, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>06</day><month>08</month><year>2025</year></pub-date><volume>56</volume><issue>2</issue><fpage>341</fpage><lpage>354</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шатунов А.Е., Мазей Н.Г., Новенко Е.Ю., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Шатунов А.Е., Мазей Н.Г., Новенко Е.Ю.</copyright-holder><copyright-holder xml:lang="en">Shatunov A.Е., Mazei N.G., Novenko Е.Y.</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://geomorphology.igras.ru/jour/article/view/3664">https://geomorphology.igras.ru/jour/article/view/3664</self-uri><abstract><p>Анализ макроскопических частиц угля в отложениях различного генезиса – один из наиболее распространенных подходов к реконструкции пожарных режимов в прошлом. Метод отличается большими затратами времени и труда исследователей, поскольку требует непрерывного отбора образцов из разреза и подсчета всех угольных частиц с линейными размерами более 125 мкм в образце фиксированного объема. В статье представлен разработанный нами автоматический метод подсчета макроскопических частиц угля с использованием анализа изображений, который легко воспроизводим, не требователен к технике, быстр, позволяет получить дополнительную палеоэкологическую информацию на основании изучения геометрических характеристик и площади частиц. Сравнение результатов, полученных путем стандартного ручного подсчета количества угольных частиц в тестовых образцах и определения количества частиц по изображению показало точность метода, достаточную для палеогеографических реконструкций: коэффициент корреляции Спирмена R = 0.85, R2 = 0.71, MAPE = 31.58% (средняя абсолютная ошибка, выраженная в процентах), сравнение определения площади частиц выявило R = 0.99, R2 = 0.98, MAPE = 21.45%. В качестве демонстрации возможностей разработанного метода в статье представлены результаты его применения по данным изучения болота Побочного (национальный парк “Бузулукский бор”, Оренбургская область). Были проанализированы 1000 образцов для 10 м отложений, накопившихся в течение 11.4 тыс. лет, обработано 6000 изображений. В результате анализа была определена не только скорость аккумуляции частиц угля, выявлены пожарные эпизоды и рассчитан межпожарный интервал, но и выполнена классификация частиц угля по морфотипам на травяной и древесный, а также оценены размеры угольных частиц, поступающих во время пожарных эпизодов, что позволило получить дополнительную палеоэкологическую информацию о пожарах в голоцене.</p></abstract><trans-abstract xml:lang="en"><p>The analysis of macroscopic charcoal particles in sediments of different genesis is one of the most common approaches to reconstruct the past fire regimes. The method requires a great deal of time and effort on the part of the researcher. It implies continuous sampling of the sediment core and counting of all charcoal particles with linear dimensions greater than 125 µm in a sample of fixed volume. The purpose of this paper is to present an automatic method that we have developed for the calculation of macroscopic charcoal particles using image analysis. This method is easily reproducible, not technologically demanding, and fast. It allows us to obtain additional palaeoecological information based on the study of geometric characteristics and particle area. A comparison of the results obtained by a standard manual count of the charcoal particles in the test samples and the number of particles determined from the image showed that the method was accurate enough for palaeogeographic reconstructions: Spearman correlation coefficient R = 0.85, R2 = 0.71, MAPE = 31.58% (the mean absolute percentage error), determined particle area comparison revealed R = 0.99, R2 = 0.98, MAPE = 21.45%. The results of macroscopic charcoal analysis of the peat core from Pobochnoye peatland (Buzuluksky Bor National Park, Orenburg region) are presented to demonstrate the capabilities of the developed method. One thousand samples collected from 10 m of peat sediments accumulated over 11.4 ka years were analyzed, and 6,000 images were processed. The results of the analysis include determined charcoal accumulation rates, fire episodes and inter-fire intervals, as well as classification of charcoal particles into grass and wood morphotypes. The variation in charcoal particle size was also estimated for each fire episode, providing additional palaeoecological information about Holocene fires.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>макрочастицы угля</kwd><kwd>автоматический подсчет</kwd><kwd>размеры углей</kwd><kwd>площади углей</kwd><kwd>морфотипы углей</kwd><kwd>палеопожары</kwd><kwd>травяной уголь</kwd><kwd>древесный уголь</kwd><kwd>межпожарный интервал</kwd><kwd>частота пожаров</kwd></kwd-group><kwd-group xml:lang="en"><kwd>macroscopic charcoal analysis</kwd><kwd>automatic charcoal counting using image analysis</kwd><kwd>charcoal size</kwd><kwd>area of charcoal particles</kwd><kwd>morphotype of charcoal particles</kwd><kwd>paleo fires</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследования выполнены в рамках государственного задания Института географии РАН FMWS-2024-0005</funding-statement><funding-statement xml:lang="en">The study was supported by the State assignment of the Institute of Geography of the Russian Academy of Sciences FMWS-2024-0005</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">Выгодский М.Я. 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