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Information × Registration Number 0224U000990, (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 Розробка алгоритмів та демонстраційного програмного забезпечення для підвищення інформативності оптичних і радарних аерокосмічних зображень із залученням додаткової інформації, а також допоміжних методів і програмних інструментів для автоматичного оцінювання одержуваних результатів. Розробка алгоритмічного і демонстраційного програмного забезпечення побудованих методів класифікації і оцінювання стану об’єктів на основі гетерогенних геопросторових даних. Head Popov Mykhailo О., д.т.н. Registration Date 15-01-2024 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 Remote methods for addressing sustainable development and rational land use issues based on comprehensive analysis of heterogeneous geospatial data / Annual report on scientific research, code No III-02-21, Center for Aerospace Research of the National Academy of Sciences of Ukraine, 2023. The research report consists of 99 pages, 19 figures, 11 tables, and a list of references citing 107 sources. The main part of the research report consists of three sections, conclusions, and a list of references. The research object is heterogeneous geospatial data obtained by Earth remote sensing systems (ERS). The subject of the research is methods of comprehensive analysis of heterogeneous geospatial data obtained by ERS systems. The aim of the work is to enhance the effectiveness of remote methods in solving rational land use issues to achieve sustainable development goals, including ensuring food and energy resources for humanity and preserving ecosystems. The report presents the results of research in 2023 on the topic of scientific research. The methodology for classifying objects in heterogeneous geospatial data is presented, aimed at increasing the resolution of recognition features. The algorithm of the developed method for assessing the resolution of the training sample, which is a key component of this methodology, is described, and the corresponding demonstration software is developed. The FCM model is proposed for predicting crop yield, consisting of nodes describing acidity level, organic matter content, concentration of K, P, vegetation indices, temperature, and edges representing relationships between nodes. Indicators of the red edge REP, chlorophyll index TCI, and modified normalized difference vegetation index NDVI705 were studied. Keywords: remote method, satellite information, fuzzy cognitive maps, heterogeneous geospatial data, classification, resolution of recognition features, red edge REP, vegetation index Product Description popup.authors Svitlana S. Kokhan Andreiev Artem A. Sibirtseva Oksana M. Dorofey Yelyzaveta M. Stanislav S. Duhin Tsymbal Tet'yana V. Drozdivskyi Oleh P. Kozlova Anna O. Alpert Sofiia I. Golubov Stanislav I. Prokopenko Ihor V. popup.nrat_date 2024-01-15 Close