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 of 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 A. S. Isaev Center for Forest Ecology and Productivity of the Russian Academy of Sciences with organizational support from the Space Research Institute of the Russian Academy of Sciences. The conference was attended by approximately 130 participants from scientific, industrial, and educational organizations in Russia, Belarus, and Azerbaijan. Sixty papers were presented on key research areas involving the use of remote sensing and GIS technologies in forest science, forestry, and ecology. Plenary presentations focused on the analysis of current large-scale changes in Russian forests at the national and regional levels, forest fire monitoring, assessment of direct pyrogenic carbon emissions in forests, and forecasting the formation of outbreaks of forest insects. The conference addressed the problems of abandoned agricultural lands in Russia and the need for annual monitoring of the extent of their forest overgrowth. The conference’s sectional presentations focused on the results of advanced research using optical aerial imagery from unmanned aerial vehicles (UAVs) and airborne and terrestrial laser scanning to assess forest characteristics and productivity. A significant number of presentations addressed the challenges and prospects of developing web applications, information and analytical systems, and automated services for monitoring forest vegetation changes. A collection of abstracts from the conference was prepared in electronic format and posted on the Elibrary website. All information about the Ninth All-Russian Scientific Conference (program, collection of materials, video broadcasts of plenary and section sessions, and paper presentations) is available at this link https://cepl.rssi.ru/confs/ASGIS2025/.

Keywords: scientific conference, satellite and ground-based data on forests, resource potential and characteristics of forests, Earth remote sensing data, geoinformation technologies, unmanned aerial vehicles, airborne laser scanning, neural networks

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