geophystechГеофизические технологииRussian Journal of Geophysical Technologies2619-1563IPGG SB RAS10.18303/2619-1563-2023-4-45geophystech-334Research ArticleСтатьиОценка углеродного цикла: подходы в обработке данных ДЗЗ и БПЛА на примере мониторинга лесных экосистемCarbon cycle: ESP and UAV data processing approaches for forest ecosystem monitoring examplesПлатоноваМ. В.PlatonovaM. V.

Платонова Марина Владимировна – младший научный сотрудник

ул. Пирогова, 1, Новосибирск, 630090

Pirogova Str., 1, Novosibirsk, 630090, Russia

gumoznaya@gmail.comКотлерВ. Д.KotlerV. D.

Котлер Василий Дмитриевич – младший научный сотрудник НГУ

ул. Пирогова, 1, Новосибирск, 630090; ул. Золотодолинская, 101, Новосибирск, 630090

Pirogova Str., 1, Novosibirsk, 630090, Russia

КухарскийА. В.KukharskiiA. V.

Кухарский Александр Витальевич – младший научный сотрудник 

ул. Пирогова, 1, Новосибирск, 630090

Pirogova Str., 1, Novosibirsk, 630090, Russia

ИвановС. Ю.IvanovS. Yu.

Иванов Станислав Юрьевич – ведущий инженер

ул. Пирогова, 1, Новосибирск, 630090

Pirogova Str., 1, Novosibirsk, 630090, Russia

Новосибирский государственный университетРоссияNovosibirsk State UniversityRussian Federation202307032024044552Copyright © Платонова М.В., Котлер В.Д., Кухарский А.В., Иванов С.Ю., 20242024Платонова М.В., Котлер В.Д., Кухарский А.В., Иванов С.Ю.Platonova M.V., Kotler V.D., Kukharskii A.V., Ivanov S.Y.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.rjgt.ru/jour/article/view/334

В статье представлен комплексный обзор современных методов и подходов обработки больших объемов данных наблюдений в контексте мониторинга лесных экосистем. Показаны примеры обработки различных данных, полученных при помощи дистанционного зондирования Земли (ДЗЗ) и беспилотных летательных аппаратов (БЛА, БПЛА). Особое внимание уделяется оценке углеродного цикла, подробно рассмотрены практики применения методов машинного обучения в обработке данных мониторинга, так как они играют ключевую роль в повышении точности получаемых оценок. В рамках статьи рассматриваются современные геоинформационные системы, предназначенные для комплексного анализа данных различных природных комплексов.

The review article provides a comprehensive overview of modern methods and approaches for processing large volumes of observational data in the context of monitoring forest ecosystems. The article shows examples of processing various data obtained using Earth remote sensing (ERS) and unmanned aerial vehicles (UAVs). Particular attention is paid to assessing the carbon cycle; the practice of using machine learning methods in processing monitoring data is also discussed in detail, as they play a key role in increasing the accuracy of the resulting estimates. The article also discusses modern geographic information systems designed for complex analysis of data from various natural complexes.

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