IX ALL-RUSSIAN (WITH INTERNATIONAL PARTICIPATION) CONFERENCE «AEROSPACE METHODS AND GEOINFORMATION TECHNOLOGIES IN FOREST SCIENCE, FORESTRY AND ECOLOGY»

S. V. Knyazeva*, D. V. Ershov, A. D. Nikitina, E. A. Gavrilyuk, E. A. Arkhiptseva, E. N. Sochilova, N. V. Koroleva, E. S. Podolskaia, E. I. Belova, E. V. Tikhonova, A. V. Gornov, K. A. Kovganko, D. N. Tikhonov, K. V. Vorobyov

 

Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences,

Profsoyuznaya st., 84/32, bldg. 14, Moscow, 117997 Russian Federation

*E-mail: knsvetl@gmail.com

Received: 10.11.2025

Revised: 24.11.2025

Accepted: 08.12.2025

This article presents the results and summary of the most important and interesting reports from the IX All-Russian (with international participation) scientific conference “Aerospace Methods and Geoinformation Technologies in Forest Science, Forestry, and Ecology”, held April 15-17, 2025, in Moscow at the Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS). Over the three days of the conference, 60 reports were presented on promising areas of using remote sensing methods and GIS technologies in various aspects of forest ecosystem studies. The 130 participants represented research and educational organizations, as well as commercial companies from Russia, Belarus, and Azerbaijan. The plenary sessions covered important topics related to the assessment of large-scale changes in Russian forests using space monitoring data: the dynamics of species and age structure, forest damage from fires, and pyrogenic carbon emissions from forests. Considerable attention was also paid to the potential for predicting forest insect outbreaks using satellite data and the need for remote monitoring of forest reforestation on abandoned agricultural lands in Russia. A significant number of sectional presentations were devoted to the challenges and prospects of using aerial imagery from unmanned aerial vehicles (UAVs), airborne and terrestrial laser scanning, web application development, information and analytical systems, and automated services for monitoring forest vegetation changes to assess forest characteristics. Conference participants proposed recommendations for improving remote monitoring systems and noted significant progress in the development and use of artificial intelligence for recognizing tree crowns, clear-cut areas, forest infrastructure facilities, and other features using remote sensing data. A collection of abstracts from the conference was prepared electronically and posted on the website of the scientific electronic library Elibrary. Information about the IX All-Russian Scientific Conference, including the program, collection of materials, video broadcasts of plenary and sectional sessions, and presentations of papers, is available at https://cepl.rssi.ru/confs/ASGIS2025/.

Keywords: conference, remote sensing data, forest ecosystems, assessment of forest characteristics, dynamics of forest species and age structure, forest insect breeding grounds, geoinformation analysis, aerial photography from unmanned aerial vehicles, airborne and terrestrial laser scanning, artificial intelligence, cartographic geoservices

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