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Information × Registration Number 0224U032686, (0124U003754) , R & D reports Title Remote monitoring information technology for land cover ecological state in the occupied territories popup.stage_title Аналіз стану проблеми моніторингу наслідків впливу воєнних дій на екологічний стан земного покриву та визначення інформативних ознак, ефективних для моніторингу земного покриву, джерел необхідних даних Head Yailymov Bohdan Ya., Кандидат технічних наук Registration Date 01-12-2024 Organization Space Research Institute of National Academy od Science and State Space Agency of Ukraine popup.description1 Development of the modern information technology and a specialized software product to support management decisions in the fields of security and economic activity based on remote land cover ecological state monitoring of the territories of southern Ukraine using big satellite data, geospatial information, methods of remote monitoring of environmental parameters, machine learning and cloud computing popup.description2  To implement the tasks of this stage, approaches to assessing the impact of military operations on the environmental status of territories in the world and Ukraine were analysed and methods for estimating drought, which is one of the most important factors affecting the ecological state of land cover. To form an optimal set of informative indicators for assessing of the land cover ecological state, an analysis and selection of products and sources of necessary satellite data and geospatial information on the physical and hydrological characteristics of soils, vegetation indices and meteorological indicators was carried out. In particular, a correlation matrix was constructed to compare different sources of soil moisture data for the territory of Ukraine and to assess their spatial-temporal distinction, accuracy and practical applicability with the aim of selecting the best. To determine the soil moisture deficit in the surface layer, a modification of the method for assessing soil moisture deficit was carried out, which involves calculating the porosity index of the surface soil layer based on the hydrological characteristic of total moisture capacity. Using statistical and correlation analysis, a comparison of soil moisture deficit with heterogeneous satellite (optical and radar) data, vegetation indices and meteorological indicators was carried out. The conducted research and the obtained results of statistical and correlation analysis using the GEE cloud platform made it possible to form an optimal set of informative indicators. This will be used in the next stage of the project to build the remote monitoring model for land cover ecological state. Product Description popup.authors popup.nrat_date 2024-12-01 Close