vfuzemlВестник Северо-Восточного федерального университета им. М.К. Аммосова. Vestnik of North-Eastern Federal University. Серия «Науки о Земле». Earth SciencesVestnik of North-Eastern Federal University Series "Earth Sciences"2587-8751Северо-Восточный федеральный университет имени М.К.Аммосова10.25587/SVFU.2022.26.2.003vfuzeml-119Research ArticleПРИКЛАДНЫЕ ИССЛЕДОВАНИЯAPPLIED RESEARCHИспользование Google Earth engine (GEE) и спутниковых снимков Landsat для определения характеристик лесных пожаровUsing Google Earth engine (GEE) and Landsat satellite images to detect forest firesЯнецП. К.JaniecP. K.

ЯНЕЦ Петр Кжуштоф – аспирант Эколого-географического отделения Института естественных наук

г. Якутск

JANIEC Petr Kzhushtof – post-graduate student, Ecological and Geographical Division, Institute of Natural Sciences

Yakutsk

piotrjaniec2@gmail.comИвановаС. А.IvanovaS. A.

ИВАНОВА Светлана Алексеевна – к.п.н., доцент Эколого-географического отделения Института естественных наук

г. Якутск

IVANOVA Svetlana Alekseevna – Candidate of Pedagogical Science, Associate Professor, Ecological and Geographical Division, Institute of Natural Sciences

Yakutsk

sa.ivanova@s-vfu.ruДаниловЮ. Г.DanilovY. G.

ДАНИЛОВ Юрий Георгиевич – к.г.н., доцент Эколого-географического отделения Института естественных наук

г. Якутск

DANILOV Yury Gerogievich – Candidate of Geographic Sciences, Associate Professor, Ecological and Geographical Division, Institute of Natural Sciences

Yakutsk

iug.danilov@s-vfu.ruСВФУ им. М.К. АммосоваРоссияM.K Ammosov North-Eastern Federal UniversityRussian Federation202228072022022231Copyright © Янец П.К., Иванова С.А., Данилов Ю.Г., 20222022Янец П.К., Иванова С.А., Данилов Ю.Г.Janiec P.K., Ivanova S.A., Danilov Y.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vnzsvfu.ru/jour/article/view/119

Проблема лесных пожаров становится все более заметной как в глобальном, так и в местном масштабе. Пожары в Якутии являются серьезной проблемой. Бореальные леса играют важную роль в глобальном потеплении и циркуляции углекислого газа. Изменения пожарного режима и климата в этом регионе уже начались, и это оказывает влияние на углеродную динамику в региональном и глобальном масштабе. Все чаще при изучении пожаров используются спутниковые данные. В последние годы при обработке спутниковых данных используются так называемые «большие данные». Чтобы правильно оценить масштаб угрозы, необходимо разработать эффективную методику оценки послепожарных характеристик. Для исследований были выбраны данные с сенсора MODIS Collection 6 из-за их большей доступности и достаточного пространственного разрешения для нашей работы. Использованы данные за период с 2001 по 2019 год из пожарного архива FIRMS. В данной статье представлен метод определения некоторых характеристик пожаров с использованием «больших данных» и платформы Google Earth Engine. Алгоритмы, созданные для определения основных послепожарных характеристик, были применены на примере Верхоянского района Якутии. Результаты приведены на примере пожаров в период 2001-2019 годов. Для анализа использовались данные программы FIRMS из инструмента Modis и VIIRIS, а также данные Landsat.

The problem of forest fires is becoming more and more visible both globally and locally. Fires in Yakutia are a serious problem. Boreal forests play an important role in global warming and carbon dioxide circulation. Changes in the fire regime and climate in this region have already begun, and this has an impact on carbon dynamics on a regional and global scale. Increasingly, satellite data is being used to study fires. In recent years, so-called “Big Data” has been used in the processing of satellite data. In order to correctly assess the magnitude of the threat, it is necessary to develop an effective methodology for assessing post-fire performance. Data from the MODIS Collection 6 sensor were chosen for research because of their greater availability and sufficient spatial resolution for our work. We used data for the period from 2001 to 2019 from the FIRMS fire archive. This article presents a method for determining some of the characteristics of fires using Big Data and the Google Earth Engine platform. Algorithms created to determine the main post-fire characteristics were applied on the example of the Verkhoyansk region of Yakutia. The results are given on the example of fires in Verkhoyansky district of Yakutia in the period 2001 – 2019. For the analysis, data from the FIRMS program from the Modis and VIIRIS instruments, as well as Landsat data were used.

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