geolmsuВЕСТНИК МОСКОВСКОГО УНИВЕРСИТЕТА. СЕРИЯ 4. ГЕОЛОГИЯMoscow University Bulletin. Series 4. Geology0579-9406Издательский Дом МГУ10.55959/MSU0579-9406-4-2026-65-1-62-72geolmsu-885Research ArticleСтатьиАнализ динамических характеристик данных георадарной томографии для скрининга стволов деревьевAttribute-based analysis of GPR ray-based tomography data for tree trunks screeningСудаковаМ. С.SudakovaM. S.

Мария Сергеевна Судакова 

Москва

Mariya S. Sudakova 

Moscow 

m.s.sudakova@yandex.ruТерентьеваЕ. Б.TerentyevaE. B.

Евгения Борисовна Терентьева 

Москва

Evgeniya B. Terentyeva 

Moscow 

genia_teren@mail.ruСерёгинИ. А.SereginI. A.

Иван Александрович Серёгин 

Москва

Ivan A. Seregin 

Moscow 

seregin@mail.ruМосковский государственный университет имени М.В. ЛомоносоваРоссияLomonosov Moscow State UniversityRussian FederationРоссийский государственный аграрный университет — МСХА им. ТимирязеваРоссияRussian State Agrarian University — Moscow Timiryazev Agricultural AcademyRussian Federation2026070320266516272Copyright © Судакова М.С., Терентьева Е.Б., Серёгин И.А., 20262026Судакова М.С., Терентьева Е.Б., Серёгин И.А.Sudakova M.S., Terentyeva E.B., Seregin I.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.geol.msu.ru/jour/article/view/885

Данное исследование посвящено актуальной проблеме неинвазивной диагностики стволов деревьев с использованием технологии георадарной томографии. Основная цель исследования — выявление динамических атрибутов в необработанных записях георадара, которые могут достоверно указывать на наличие гнили или воздушных полостей внутри стволов деревьев. Исследование основано на данных томографии, полученных от 22 крупномерных лиственных деревьев в Парке Горького в Москве. Предложенный атрибут «Произведение параметра поглощения на расстояние» эффективно различает здоровые и пораженные гнилью деревья. Для здоровых деревьев этот атрибут демонстрирует положительные значения, в то время как для пораженных или полых деревьев значения отрицательные. Полученные результаты открывают новые перспективы для неинвазивной диагностики городских деревьев и могут применяться при крупномасштабном скрининге зеленых насаждений.

This study addresses the actual issue of non-invasive tree trunk diagnostics using ground-penetrating radar (GPR) tomography. The primary objective is to identify dynamic attributes in non-processed GPR data that can reliably indicate the presence of rot or air holes within tree trunks. The study is based on tomography data obtained from 22 large trees in Gorky Park, Moscow. The proposed “attenuation multiply to distance” attribute effectively distinguishes between healthy and rot-affected trees. For healthy trees, this attribute exhibits positive values, while for rotted or hollow trees, the values are negative. The obtained results open new perspectives for non-invasive diagnostics of urban trees and can be applied to large-scale screening of green spaces.

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The authors declare that there are no conflicts of interest present.