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Information × Registration Number 0225U001177, (0121U107677) , R & D reports Title Remote sensing techniques for solution of the sustainable development and environmental management tasks based on heterogeneous geospatial data complex analysis popup.stage_title Тестування розроблених методів при вирішенні типових задач сталого розвитку і раціонального природокористування з одержанням кількісних оцінок приросту інформативності завдяки застосуванню розроблених методів. Тестування побудованих методів класифікації і оцінювання стану об’єктів на основі гетерогенних геопросторових даних, їх удосконалення з урахуванням результатів тестування. Head Popov Mykhailo О., д.т.н. Registration Date 27-01-2025 Organization State Institution "Scientific Center for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine" popup.description1 Enhancement of the remote sensing techniques efficiency for solution of the sustainable development and environmental management tasks particularly land ecosystems preservation and remote mineral prospectaing popup.description2  The research report consists of 131 pages, 26 figures, 23 tables, a list of references to 125 sources. The main part of the research report consists of five sections, general conclusions, a list of references and appendices. The purpose of the work is to increase the efficiency of remote methods for solving problems of rational environmental management to achieve sustainable development goals, in particular, providing humanity with food and energy resources, and preserving ecosystems. The report presents the results of research for the 2024 stage. The methodology for selecting indicators and their parameters for assessing soil quality is substantiated. A generalized structure of a GIS conceptual model for assessing soil quality and a generalized structure of a geodatabase conceptual model for assessing soil quality are developed based on the requirements of international standards of the ISO 19100 series. A method for predicting corn yield based on fuzzy cognitive maps is developed, and its accuracy is assessed. At the conceptual level, a method for classifying objects based on heterogeneous geospatial data is presented. A previously developed method for classifying and assessing the state of objects based on heterogeneous geospatial data is tested and its results are presented. Materials for processing heterogeneous geospatial data are provided on the example of the dynamics of gas exchange of the coastal sedge plant according to remote sensing and field research data in the GIS QGIS for creating, editing, analyzing and interpreting data in a geographical context. KEYWORDS: remote sensing method, satellite information, fuzzy cognitive maps, heterogeneous geospatial data, classification, separability of distinguishing features, REP red edge, vegetation index Product Description popup.authors Alpert Sofiia I. Andreiev Artem A. Holubov Stanislav I. Dorofey Yelyzaveta M. Drozdivskyi Oleh P. Duhin Stanislav S. Kozlova Anna O. Kokhan Svitlana S. Prokopenko Ihor V. Rudenka Olena V. Sibirtseva Oksana M. Temna Yuliia A. Tsymbal Tetiana V. popup.nrat_date 2025-01-27 Close