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Information × Registration Number 0220U104313, 0120U105086 , R & D reports Title Intelligent models and methods for determining land degradation indicators based on satellite data popup.stage_title Head Shelestov Andrii Yu., Доктор технічних наук Registration Date 16-12-2020 Organization National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" popup.description2 ABSTRACT Report: 102 pages, 31 figures, 19 tables, 94 references, 2 appendices. Keywords Land degradation, deep learning, geospatial analysis, sustainable development goals, indicator 15.3.1, machine learning, forest degradation, agricultural land productivity, satellite data, biophysical modeling, classification maps The object of research - the agricultural land productivity, forest degradation and desertification. Purpose: develop a new methodology for the agricultural land productivity assessing, identify forest degradation based on satellite data and biophysical modeling, using more accurate classification maps obtained using neural network methods, develop a combat desertification methodology, to assess indicators of sustainable development goals 2.4.1, 15.1.1, 15.3.1. Research methods: machine learning methods, geospatial analysis, big data analysis methods, use of cloud computing environments, time series analysis of vegetation indices. The results obtained: - The analysis of existing monitoring land degradation methods according to satellite data is carried out. - Downloaded, harmonized and processed data Sentinel-1, Sentinel-2 per year, with masked and restored clouds covering the entire territory of Ukraine. - A GIS project is created, which includes 900 landfills with in-situ data classes for the territory of Ukraine, and 15 points with 3 LAI measurements for agricultural fields in Kyiv region at the JECAM landfill. - Data on tree cuts in Kyiv and Lviv regions are collected. - The database of Ukraine soils on the basis of FAO data, soils profiles and majority crops profiles for Ukraine are created. Product Description popup.authors Bilokonska Yuliia V Kussul Nataliia M. Lavreniuk Mykola S. Shumilo Leonid L. Yailymov Bohdan Ya. Yailymova Hanna O. popup.nrat_date 2020-12-16 Close
R & D report
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Head: Shelestov Andrii Yu.. Intelligent models and methods for determining land degradation indicators based on satellite data. (popup.stage: ). National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute". № 0220U104313
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Updated: 2026-03-24