Research output: Contribution to journal › Conference article › peer-review
Основы дистанционного зондирования и геоинформатики в проектной деятельности учащихся средней школы. / Enbaeva, Tatiana; Pavlova, Polina; Kutuzova, Olga; Vasiliev, Aisen; Ignatenko, Daria; Panidi, Evgeny.
In: ИНТЕРКАРТО/ИНТЕРГИС, Vol. 31, No. 3, 22.12.2025, p. 446-459.Research output: Contribution to journal › Conference article › peer-review
}
TY - JOUR
T1 - Основы дистанционного зондирования и геоинформатики в проектной деятельности учащихся средней школы
AU - Enbaeva, Tatiana
AU - Pavlova, Polina
AU - Kutuzova, Olga
AU - Vasiliev, Aisen
AU - Ignatenko, Daria
AU - Panidi, Evgeny
N1 - Export Date: 09 February 2026; Cited By: 0; Conference name: 2025 International Conference on GI Support of Sustainable Development of Socio-Natural Systems; Conference location: Tashkent; Conference date: 2025-10-24 through 2025-10-26
PY - 2025/12/22
Y1 - 2025/12/22
N2 - 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). © 2025 Lomonosov Moscow State University. All rights reserved.
AB - 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). © 2025 Lomonosov Moscow State University. All rights reserved.
KW - education
KW - geospatial data
KW - project activities
KW - remote sensing data
U2 - 10.35595/2414-9179-2025-3-31-446-459
DO - 10.35595/2414-9179-2025-3-31-446-459
M3 - статья в журнале по материалам конференции
VL - 31
SP - 446
EP - 459
JO - ИНТЕРКАРТО/ИНТЕРГИС
JF - ИНТЕРКАРТО/ИНТЕРГИС
SN - 2414-9179
IS - 3
T2 - ГЕОИНФОРМАЦИОННАЯ ПОДДЕРЖКА УСТОЙЧИВОГО РАЗВИТИЯ СОЦИОПРИРОДНЫХ СИСТЕМ - 2025
Y2 - 24 October 2025 through 26 October 2025
ER -
ID: 148494581