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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">esoil</journal-id><journal-title-group><journal-title xml:lang="ru">Бюллетень Почвенного института имени В.В. Докучаева</journal-title><trans-title-group xml:lang="en"><trans-title>Dokuchaev Soil Bulletin</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0136-1694</issn><issn pub-type="epub">2312-4202</issn><publisher><publisher-name>V.V. Dokuchaev Soil Science Institute</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.19047/0136-1694-2025-122-174-193</article-id><article-id custom-type="elpub" pub-id-type="custom">esoil-887</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Концепция линии почв и ее использование для картографирования и мониторинга почв (обзор)</article-title><trans-title-group xml:lang="en"><trans-title>Soil line concept and its use for soil mapping and monitoring (overview)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8739-5441</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Савин</surname><given-names>И. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Savin</surname><given-names>I. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>119017, Москва, Пыжевский пер, 7, стр. 2</p></bio><bio xml:lang="en"><p>7 Bld. 2 Pyzhevskiy per., Moscow 119017</p></bio><email xlink:type="simple">savin_iyu@esoil.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Терехов</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Terekhov</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>050010, Алматы</p></bio><bio xml:lang="en"><p>Almaty 050010</p></bio><email xlink:type="simple">aterekhov1@yandex.kz</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3727-043X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мухамедиев</surname><given-names>Р. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Mukhamediev</surname><given-names>R. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>050000, Алматы, ул. Сатпаева 22</p></bio><bio xml:lang="en"><p>22 Satbaev street, Almaty 050000</p></bio><email xlink:type="simple">mukhamri@yandex.kz</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФИЦ “Почвенный институт им. В.В. Докучаева”</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Centre “V.V. Dokuchaev Soil Science Institute”</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Институт информационных и вычислительных технологий МОН</institution><country>Казахстан</country></aff><aff xml:lang="en"><institution>Institute of Information and Computing Technologies MES</institution><country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Казахский Научно-Исследовательский Технический Университет им. К.И. Сатпаева</institution><country>Казахстан</country></aff><aff xml:lang="en"><institution>Satbayev University</institution><country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>26</day><month>03</month><year>2025</year></pub-date><volume>0</volume><issue>122</issue><fpage>174</fpage><lpage>193</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Савин И.Ю., Терехов А.Г., Мухамедиев Р.И., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Савин И.Ю., Терехов А.Г., Мухамедиев Р.И.</copyright-holder><copyright-holder xml:lang="en">Savin I.Y., Terekhov A.G., Mukhamediev R.I.</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://bulletin.esoil.ru/jour/article/view/887">https://bulletin.esoil.ru/jour/article/view/887</self-uri><abstract><p>Концепция линии почв предложена в 1977 г. С тех пор она достаточно широко используется для спутникового мониторинга растительности, наземного покрова и почв. Проведен критический обзор научных публикаций по использованию концепции линии почв в дистанционном зондировании. Обзор базируется на анализе публикаций, проиндексированных в наукометрических базах данных РИНЦ и Scopus. Поиск осуществлен по терминам “линия почв” и “soil AND line AND spectral AND reflection” в названиях статей, в ключевых словах и в абстрактах публикаций за все имеющиеся годы. В выборку включены следующие типы публикаций: статьи в научных журналах, обзорные статьи, главы в книгах, статьи в сборниках докладов конференций. Всего проанализировано 104 статьи. Установлено, что наиболее широко концепция линии почв используется при создании вегетационных спектральных индексов для мониторинга растительного покрова. Кроме того, она применяется для оценки состояния наземного покрова и при мониторинге почв. Лидерами по количеству публикаций в данной области знаний являются специалисты из Китая. Вместе со специалистами из США и России они опубликовали около половины всех работ. По аффилиации первого автора преобладают публикации Китайской академии наук и Почвенного института им. В.В. Докучаева (Россия). Концепция линии почв является перспективной для картографирования и мониторинга отдельных групп свойств почв, реже – отдельных свойств почв по характеру изображения их открытой поверхности. Для ее более широкого использования необходимы дополнительные исследования влияния отдельных свойств разных почв на их спектральную отражательную способность в видимом и БИК диапазонах спектра. Гипотеза о возможности спутникового картографирования и мониторинга типов (или других классификационных выделов) почв на основе концепции почвенной линии требует большого экспериментального подтверждения.</p></abstract><trans-abstract xml:lang="en"><p>The soil line concept was proposed in 1977. Since then, it has been widely used for satellite monitoring of vegetation, land cover and soils. A critical review of scientific publications on the use of the soil line concept in remote sensing is carried out. The review is based on the analysis of publications indexed in the scientific databases RISC and Scopus. The search was performed using the terms “soil line” and “soil AND line AND spectral AND reflection” in the titles of articles, in keywords and in abstracts of publications for all available years. The following types of publications were included in the sample: articles in scientific journals, review articles, book chapters, and articles in conference proceedings. A total of 104 articles were analyzed. It was found that the soil line concept is most widely used in the creation of vegetation spectral indices for monitoring vegetation cover. It is also used to assess the state of land cover and in soil monitoring. The leader in the number of publications in this field of knowledge are specialists from China. Together with specialists from the USA and Russia, they have published about half of all publications. By affiliation of the first author, publications of the Chinese Academy of Sciences and the V.V. Dokuchaev Soil Science Institute (Russia) prevail. The concept of soil line is promising for mapping and monitoring of separate groups of soil properties, less often - separate soil properties by the character of their open surface image. For its wider use, additional studies of the influence of individual properties of different soils on their spetcral reflectivity in the visible and NIR spectral ranges are needed. The hypothesis about the possibility of satellite mapping and monitoring of soil types (or other classification divisions) based on the soil line concept requires extensive experimental confirmation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дешифрирование почв</kwd><kwd>спектральная отражательная способность почв</kwd><kwd>спектральные индексы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>soil detection</kwd><kwd>soil spectral reflection</kwd><kwd>spectral indexes</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Проект был поддержан комитетом науки, министерство науки и высшего образования Республики Казахстан, грант № BR 24992908, “Agroscope”.</funding-statement><funding-statement xml:lang="en">This research has been funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. BR24992908; “Agroscope”).</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">Кирьянова Е.Ю., Савин И.Ю. Линия почв как индикатор неоднородностей почвенного покрова // Современные проблемы дистанционного зондирования Земли из космоса. 2011. Т. 8. № 4. С. 310–318.</mixed-citation><mixed-citation xml:lang="en">Kir'yanova E.Yu., Savin I.Yu., Liniya pochv kak indikator neodnorodnostei pochvennogo pokrova (Soil line as an indicator of soil cover heterogeneities), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 4, pp. 310–318.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Королева П.В., Рухович Д.И., Рухович А.Д., Рухович Д.Д., Куляница А.Л., Трубников А.В., Калинина Н.В., Симакова М.С. Местоположение открытой поверхности почвы и линии почвы в спектральном пространстве RED-NIR // Почвоведение. 2017. № 12. С. 1435–1446.</mixed-citation><mixed-citation xml:lang="en">Koroleva P.V., Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Kulyanitsa A.L., Trubnikov A.V., Kalinina N.V., Simakova M.S. Mestopolozhenie otkrytoi poverkhnosti pochvy i linii pochvy v spektral'nom prostranstve RED-NIR (Location of the exposed soil surface and soil line in the RED-NIR spectral space), Pochvovedenie, 2017, No. 12, pp. 1435–1446.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Куляница А.Л., Королева П.В., Рухович Д.И., Рухович А.Д., Рухович Д.Д., Симакова М.С. Построение карт коэффициентов “а” и “b” линий почв, рассчитанных по 34 разновременным кадрам LANDSAT // Информация и космос. 2016. № 1. С. 100–114.</mixed-citation><mixed-citation xml:lang="en">Kulyanitsa A.L., Koroleva P.V., Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Simakova M.S., Postroenie kart koehffitsientov “a” i “b” linii pochv, rasschitannykh po 34 raznovremennym kadram LANDSAT (Construction of maps of coefficients “a” and “b” of soil lines calculated from 34 multi-temporal LANDSAT frames), Informatsiya i kosmos, 2016, No. 1, pp. 100–114.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Савин И.Ю. Дешифрование почвенного покрова центрально-черноземных областей по среднемасштабным космическим снимкам: Дисс. … канд. геогр. наук. М.: Почвенный институт им. В.В. Докучаева, 1990. 300 с.</mixed-citation><mixed-citation xml:lang="en">Savin I.Yu., Deshifrirovaniye pochvennogo pokrova lesostepi Tsentral'no-Chernozemnogo rayona po srednemasshtabnym kosmicheskim snimkam: Dis. … kand. geogr. nauk (Detection of soil patterns of the forest-steppe of the Central Black Earth region based on medium-scale satellite imagery, Cand. geogr. sci. thesis), Moscow, 1990. 300 p.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Савин И.Ю. Пространственные аспекты прикладного почвоведения // Бюллетень Почвенного института имени В.В. Докучаева. 2020. Вып. 101. С. 5–18. DOI: https://doi.org/10.19047/0136-1694-2020-101-5-18.</mixed-citation><mixed-citation xml:lang="en">Savin I.Yu., Spatial aspects of applied Soil Science, Dokuchaev Soil Bulletin, 2020, Vol. 101, pp. 5–18, DOI: https://doi.org/10.19047/0136-1694-2020-101-5-18.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Украинский П.А., Землякова А.В. Определение параметров почвенной линии для автоматизированного распознавания открытой поверхности почвы на космических снимках // Международный журнал прикладных и фундаментальных исследований. 2014. № 9–1. С. 140–144.</mixed-citation><mixed-citation xml:lang="en">Ukrainskii P.A., Zemlyakova A.V., Opredelenie parametrov pochvennoi linii dlya avtomatizirovannogo raspoznavaniya otkrytoi poverkhnosti pochvy na kosmicheskikh snimkakh (Determination of soil line parameters for automated recognition of open soil surface on space images), Mezhdunarodnyi zhurnal prikladnykh i fundamental'nykh issledovanii, 2014, No. 9–1, pp. 140–144.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Baret F., Jacquemoud S., Hanocq J.F. About the soil line concept in remote-sensing // Adv. Space Res. 1993. Vol. 13. P. 281–284.</mixed-citation><mixed-citation xml:lang="en">Baret F., Jacquemoud S., Hanocq J.F., About the soil line concept in remote-sensing, Adv. Space Res., 1993, Vol. 13, pp. 281–284.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Baret F., Guyot G. Potentials and limits of vegetation indexes for LAI and APAR assessment // Remote Sens. Environ. 1991. Vol. 35. P. 161–173.</mixed-citation><mixed-citation xml:lang="en">Baret F., Guyot G., Potentials and limits of vegetation indexes for LAI and APAR assessment, Remote Sens. Environ., 1991, Vol. 35, pp. 161–173.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Baret F., Guyot G., Major D. TSAVI – A Vegetation Index which Minimizes Soil Brightness Effects on LAI and APAR Estimation // Proc. 12 th Canadian Symposium on Remote Sensing and 1989 International Geoscience and Remote Sensing Symposium. IGARSS’89: Vancouver, 1989. P. 1355–1358.</mixed-citation><mixed-citation xml:lang="en">Baret F., Guyot G., Major D., TSAVI – A Vegetation Index which Minimizes Soil Brightness Effects on LAI and APAR Estimation, In: Proc. of 12 th Canadian Symposium on Remote Sensing and 1989 International Geoscience and Remote Sensing Symposium, IGARSS’89: Vancouver, 1989, pp. 1355–1358.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Chen S.-M., Zou S.-Q., Mao Y.-L., Liang W.-X., Ding H. Inversion of Soil Organic Matter Content in Wetland Using Multispectral Data Based on Soil Spectral Reconstruction // Spectroscopy and Spectral Analysis. 2018. Vol. 38 (3). P. 912–917. DOI: https://doi.org/10.3964/j.issn.1000-0593(2018)03-0912-06.</mixed-citation><mixed-citation xml:lang="en">Chen S.-M., Zou S.-Q., Mao Y.-L., Liang W.-X., Ding H., Inversion of Soil Organic Matter Content in Wetland Using Multispectral Data Based on Soil Spectral Reconstruction, Spectroscopy and Spectral Analysis, 2018, Vol. 38(3), pp. 912–917, DOI: https://doi.org/10.3964/j.issn.1000-0593(2018)03-0912-06.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Demattê J.A.M., Campos R.C., Alves M.C., Fiorio P.R., Nanni M.R. Visible-NIR reflectance: A new approach on soil evaluation // Geoderma. 2004. Vol. 121(1–2). P. 95–112.</mixed-citation><mixed-citation xml:lang="en">Demattê J.A.M., Campos R.C., Alves M.C., Fiorio P.R., Nanni M.R., Visible-NIR reflectance: A new approach on soil evaluation, Geoderma, 2004, Vol. 121(1–2), pp. 95–112.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Demattê J.A.M., Fongaro C.T., Rizzo R., Safanelli J.L. Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images // Remote Sensing of Environment. 2018. Vol. 212. P. 161–175. DOI: https://doi.org/10.1016/j.rse.2018.04.047.</mixed-citation><mixed-citation xml:lang="en">Demattê J.A.M., Fongaro C.T., Rizzo R., Safanelli J.L., Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images, Remote Sensing of Environment, 2018, Vol. 212, pp. 161–175, DOI: https://doi.org/10.1016/j.rse.2018.04.047.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Deng L., Mao Z., Li X., .. .Duan F., Yan Y. UAV-based multi-spectral remote sensing for precision agriculture: A comparison between different cameras // ISPRS Journal of Photogrammetry and Remote Sensing. 2018. Vol. 146. P. 124–136.</mixed-citation><mixed-citation xml:lang="en">Deng L., Mao Z., Li X., ... Duan F., Yan Y., UAV-based multi-spectral remote sensing for precision agriculture: A comparison between different cameras, ISPRS Journal of Photogrammetry and Remote Sensing, 2018, Vol. 146, pp. 124–136.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Fox G.A., Sabbagh G.J. Estimation of soil organic matter from red and near-infrared remotely sensed data using a soil line Euclidean distance technique // Soil Sci. Soc. Am. J. 2002. Vol. 66. P. 1922–1929.</mixed-citation><mixed-citation xml:lang="en">Fox G.A., Sabbagh G.J., Estimation of soil organic matter from red and near-infrared remotely sensed data using a soil line Euclidean distance technique, Soil Sci. Soc. Am. J., 2002, Vol. 66, pp. 1922–1929.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Fox G.A., Sabbagh G.J., Searcy S.W., Yang C. An automated soil line identification routine for remotely sensed images // Soil Sci. Soc. Am. J. 2004. Vol. 68. P. 1326–1331.</mixed-citation><mixed-citation xml:lang="en">Fox G.A., Sabbagh G.J., Searcy S.W., Yang C., An automated soil line identification routine for remotely sensed images, Soil Sci. Soc. Am. J., 2004, Vol. 68, pp. 1326–1331.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Fox G.A., Metla R. Soil property analysis using principal components analysis, soil line, and regression models // Soil Sci. Soc. Am. J. 2005. Vol. 69. P. 1782–1788.</mixed-citation><mixed-citation xml:lang="en">Fox G.A., Metla R., Soil property analysis using principal components analysis, soil line, and regression models, Soil Sci. Soc. Am. J., 2005, Vol. 69, pp. 1782–1788.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Galvao L.S., Vitorello I. Variability of laboratory measured soil lines of soils from southeastern Brazil // Remote Sens. Environ. 1998. Vol. 63. P. 166–181.</mixed-citation><mixed-citation xml:lang="en">Galvao L.S., Vitorello I., Variability of laboratory measured soil lines of soils from southeastern Brazil, Remote Sens. Environ., 1998, Vol. 63, pp. 166–181.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Gilabert M.A., González-Piqueras J., García-Haro F.J., Meliá J. A generalized soil-adjusted vegetation index // Remote Sensing of Environment. 2002. Vol. 82(2–3), pp. 303–310.</mixed-citation><mixed-citation xml:lang="en">Gilabert M.A., González-Piqueras J., García-Haro F.J., Meliá J., A generalized soil-adjusted vegetation index, Remote Sensing of Environment, 2002, Vol. 82(2–3), pp. 303–310.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Gitelson A.A., Stark R., Grits U., Rundquist D., Kaufman Y., Derry D. Vegetation and soil lines in visible spectral space: A concept and technique for remote estimation of vegetation fraction // Int. J. Remote Sens. 2002. Vol. 23. P. 2537–2562.</mixed-citation><mixed-citation xml:lang="en">Gitelson A.A., Stark R., Grits U., Rundquist D., Kaufman Y., Derry D., Vegetation and soil lines in visible spectral space: A concept and technique for remote estimation of vegetation fraction, Int. J. Remote Sens., 2002, Vol. 23, pp. 2537–2562.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Huete A.R., Post D.F., Jackson R.D. Soil spectral effects on 4-space vegetation discrimination // Remote Sens. Environ. 1984. Vol. 15. Issue 2. P. 155–165. DOI: https://doi.org/10.1016/0034-4257(84)90043-9.</mixed-citation><mixed-citation xml:lang="en">Huete A.R., Post D.F., Jackson R.D., Soil spectral effects on 4-space vegetation discrimination, Remote Sens. Environ., 1984, Vol. 15, Iss. 2, pp. 155–165, DOI: https://doi.org/10.1016/0034-4257(84)90043-9.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Jaishanker R., Thomaskutty A.V., Senthivel T., Sridhar V.N. Soil line transformation based relative radiometric normalization // Int. J. Remote Sens. 2006. Vol. 27. P. 5103–5108.</mixed-citation><mixed-citation xml:lang="en">Jaishanker R., Thomaskutty A.V., Senthivel T., Sridhar V.N., Soil line transformation based relative radiometric normalization, Int. J. Remote Sens., 2006, Vol. 27, pp. 5103–5108.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang H., Wei X., Chen Z., Zhu M., Yao Y., Zhang X., Jia K. Influence of different soil reflectance schemes on the retrieval of vegetation LAI and FVC from PROSAIL in agriculture region // Computers and Electronics in Agriculture. 2023. Vol. 212. Art. no. 108165. DOI: https://doi.org/10.1016/j.compag.2023.108165.</mixed-citation><mixed-citation xml:lang="en">Jiang H., Wei X., Chen Z., Zhu M., Yao Y., Zhang X., Jia K., Influence of different soil reflectance schemes on the retrieval of vegetation LAI and FVC from PROSAIL in agriculture region, Computers and Electronics in Agriculture, 2023, Vol. 212, art. no. 108165, DOI: https://doi.org/10.1016/j.compag.2023.108165.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Koroleva P.V., Rukhovich D.I., Kalinina N.V., Simakova M.S., Kulyanitsa A.L., Rukhovich A.D., Rukhovich D.D., Trubnikov A.V. Characterization of soil types and subtypes in n-dimensional space of multitemporal (empirical) soil line // Eurasian Soil Science. 2018. Vol. 51. No. 9. P. 1021–1033.</mixed-citation><mixed-citation xml:lang="en">Koroleva P.V., Rukhovich D.I., Kalinina N.V., Simakova M.S., Kulyanitsa A.L., Rukhovich A.D., Rukhovich D.D., Trubnikov A.V., Characterization of soil types and subtypes in n-dimensional space of multitemporal (empirical) soil line, Eurasian Soil Science, 2018, Vol. 51, No. 9, pp. 1021–1033.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Liu H.-J., Meng X.-T., Wang X., Bao Y.-L., Yu Z.-Y., Zhang X.-L. Soil Classification Model Based on the Characteristics of Soil Reflectance Spectrum // Spectroscopy and Spectral Analysis. Vol. 39(8). P. 2481–2485. DOI: https://doi.org/10.3964/j.issn.1000-0593(2019)08-2481-05.</mixed-citation><mixed-citation xml:lang="en">Liu H.-J., Meng X.-T., Wang X., Bao Y.-L., Yu Z.-Y., Zhang X.-L., Soil Classification Model Based on the Characteristics of Soil Reflectance Spectrum, Spectroscopy and Spectral Analysis, Vol. 39(8), pp. 2481–2485, DOI: https://doi.org/10.3964/j.issn.1000-0593(2019)08-2481-05.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Nakalembe C., Becker-Reshef I., Bonifacio R., Hu G., Humber M.L., Justice C.J., Keniston J., Mwangi K., Rembold F., Shukla S., Urbano F., Whitcraft A.C., Li Y., Zappacosta M., Jarvis I., Sanchez A. A review of satellite-based global agricultural monitoring systems available for Africa // Global Food Security. 2021. Vol. 29. Article 100543. DOI: https://doi.org/10.1016/j.gfs.2021.100543.</mixed-citation><mixed-citation xml:lang="en">Nakalembe C., Becker-Reshef I., Bonifacio R., Hu G., Humber M.L., Justice C.J., Keniston J., Mwangi K., Rembold F., Shukla S., Urbano F., Whitcraft A.C., Li Y., Zappacosta M., Jarvis I., Sanchez A., A review of satellite-based global agricultural monitoring systems available for Africa, Global Food Security, 2021, Vol. 29, Art. no. 100543, DOI: https://doi.org/10.1016/j.gfs.2021.100543.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Prudnikova E.Yu., Savin I.Yu. The possibilities of soil line concept application for the detection of soil properties // GlobalSoilMap: Digital Soil Mapping from Country to Globe. Proc. of the GlobalSoilMap 2017 Conference. 2018. P. 97–102.</mixed-citation><mixed-citation xml:lang="en">Prudnikova E.Yu., Savin I.Yu., The possibilities of soil line concept application for the detection of soil properties, In: GlobalSoilMap: Digital Soil Mapping from Country to Globe, Proc. of the GlobalSoilMap 2017 Conference, 2018, pp. 97–102.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Prudnikova E, Savin I, Vindeker G, Grubina P, Shishkonakova E, Sharychev D. Influence of Soil Background on Spectral Reflectance of Winter Wheat Crop Canopy // Remote Sensing. 2019 Vol. 11(16). Art. no. 1932. DOI: https://doi.org/10.3390/rs11161932.</mixed-citation><mixed-citation xml:lang="en">Prudnikova E., Savin I., Vindeker G., Grubina P., Shishkonakova E., Sharychev D., Influence of Soil Background on Spectral Reflectance of Winter Wheat Crop Canopy, Remote Sensing, 2019, Vol. 11(16), Art. no. 1932, DOI: https://doi.org/10.3390/rs11161932.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Qin Q., You L., Zhao Y., Zhao S., Yao Y. Soil line automatic identification algorithm based on two-dimensional feature space // Transactions of the Chinese Society of Agricultural Engineering. 2012. Vol. 28(3). P. 167–171. DOI: https://doi.org/10.3969/j.issn.1002-6819.2012.03.029.</mixed-citation><mixed-citation xml:lang="en">Qin Q., You L., Zhao Y., Zhao S., Yao Y., Soil line automatic identification algorithm based on two-dimensional feature space, Transactions of the Chinese Society of Agricultural Engineering, 2012, Vol. 28(3), pp. 167–171, DOI: https://doi.org/10.3969/j.issn.1002-6819.2012.03.029.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Richardson A.J., Wiegand C. Distinguishing vegetation from soil background information (by gray mapping of Landsat MSS data) // Photogramm. Eng. Remote Sens. 1977. Vol. 43. P. 1541–1552.</mixed-citation><mixed-citation xml:lang="en">Richardson A.J., Wiegand C., Distinguishing vegetation from soil background information (by gray mapping of Landsat MSS data), Photogramm. Eng. Remote Sens., 1977, Vol. 43, pp. 1541–1552.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Shoshany M., Roitberg E., Goldshleger N., Kizel F. Universal quadratic soil spectral reflectance line and its deviation patterns' relationships with chemical and textural properties: A global data base analysis // Remote Sensing of Environment. 2022. Vol. 280. Art. no. 113182. DOI: https://doi.org/10.1016/j.rse.2022.113182.</mixed-citation><mixed-citation xml:lang="en">Shoshany M., Roitberg E., Goldshleger N., Kizel F., Universal quadratic soil spectral reflectance line and its deviation patterns' relationships with chemical and textural properties: A global data base analysis, Remote Sensing of Environment, 2022, Vol. 280, art. no. 113182, DOI: https://doi.org/10.1016/j.rse.2022.113182.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">“Soil line” A Dictionary of Earth Sciences. Retrieved May 16, 2024 from Encyclopedia.com. URL: https://www.encyclopedia.com/science/dictionaries-thesauruses-pictures-and-press-releases/soil-line.</mixed-citation><mixed-citation xml:lang="en">“Soil line” A Dictionary of Earth Sciences. Retrieved May 16, 2024 from Encyclopedia.com: URL: https://www.encyclopedia.com/science/dictionaries-thesauruses-pictures-and-press-releases/soil-line.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Thoma D., Gupta S., Bauer M. Evaluation of optical remote sensing models for crop residue cover assessment // J. Soil Water Conserv. 2004. Vol. 59. P. 224–233.</mixed-citation><mixed-citation xml:lang="en">Thoma D., Gupta S., Bauer M., Evaluation of optical remote sensing models for crop residue cover assessment, J. Soil Water Conserv., 2004, Vol. 59, pp. 224–233.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Wang X., Wang M., Wang S., Wu Y. Extraction of vegetation information from visible unmanned aerial vehicle images // Transactions of the Chinese Society of Agricultural Engineer-ing. 2015. Vol. 31(5). P. 152–159.</mixed-citation><mixed-citation xml:lang="en">Wang X., Wang M., Wang S., Wu Y., Extraction of vegetation information from visible unmanned aerial vehicle images, Transactions of the Chinese Society of Agricultural Engineering, 2015, Vol. 31(5), pp. 152–159.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Wu X.-P., Xu H.-Q. Cross-Comparison between GF-2 PMS2 and ZY-3 MUX Sensor Data // Spectroscopy and Spectral Analysis. 2019. Vol. 39(1). P. 310–318. DOI: https://doi.org/10.3964/j.issn.1000-0593(2019)01-0310-09.</mixed-citation><mixed-citation xml:lang="en">Wu X.-P., Xu H.-Q., Cross-Comparison between GF-2 PMS2 and ZY-3 MUX Sensor Data, Spectroscopy and Spectral Analysis, 2019, Vol. 39(1), pp. 310–318, DOI: https://doi.org/10.3964/j.issn.1000-0593(2019)01-0310-09.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
