Basics of remote sensing and geoinformatics in a context of project-based learning of secondary school students

DOI: 10.35595/2414-9179-2025-3-31-446-459

View or download the article (Rus)

About the Authors

Tatiana I. Enbaeva

Independent researcher,
Kurgan Region, Russia

Polina L. Pavlova

Independent researcher,
Moscow Region, Russia

Olga V. Kutuzova

Independent researcher,
Sverdlovsk Region, Russia

Aisen A. Vasiliev

Independent researcher,
Republic of Sakha Yakutia, Russia

Daria A. Ignatenko

Saint Petersburg State University, Institute of Earth Sciences, Department of Cartography and Geoinformatics,
33, 10th line of Vasil’evsky island, St. Petersburg, 199178, Russia

Evgeny A. Panidi

Saint Petersburg State University, Institute of Earth Sciences, Department of Cartography and Geoinformatics,
33, 10th line of Vasil’evsky island, St. Petersburg, 199178, Russia
E-mail: panidi@ya.ru, e.panidi@spbu.ru

Abstract

The development of methods and techniques for project-based teaching has become an urgent task for the development of education in recent decades, both in general and in narrow domains, in particular, in such areas as geography, cartography, geoinformatics, remote sensing, and unmanned technologies. The paper discovers and discusses some results of the educational and experimental work elaborated by the authors in the framework of organizing and conducting project-based research with secondary school students (grades 8, 9 and 10) during the “Big Challenges” Scientific and Technological project-based educational program (Ecology and Climate Change Studies section) at the Sirius Educational Center in July 2024. The project title was “Development of a samples catalog for satellite imagery interpretation for environmental studies”. Freely distributed software and libraries (QGIS, SAGA GIS, Orfeo ToolBox, GDAL, etc.), publicly available online platforms (GitHub and Zenodo), publicly available satellite imagery data (Meteor, Landsat-8–9, Sentinel-2) were used. A catalog prototype for the satellite imagery interpretation has been created and published online in the form of a website. The catalog incorporated the samples for visual interpretation of a number of objects and situations significant in the meaning of environmental studies and the samples of datasets for automated detection of these objects and situations in satellite images. The catalog contains samples for visual interpretation (fragments of images with textual explanations), samples for automated interpretation (spectral signatures), and samples for automated interpretation by machine learning methods (tiles with markup of the objects of interest).

Keywords

remote sensing data, geospatial data, education, project activities

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For citation: Enbaeva T.I., Pavlova P.L., Kutuzova O.V., Vasiliev A.A., Ignatenko D.A., Panidi E.A. Basics of remote sensing and geoinformatics in a context of project-based learning of secondary school students. InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2025. V. 31. Part 3. P. 446–459. DOI: 10.35595/2414-9179-2025-3-31-446-459 (in Russian)