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Information × Registration Number 0216U003407, 0115U006075 , R & D reports Title Development of the pilot agromonitoring system for Kyiv and Khmelnytsky regions using satellite remote sensing data (code" Pilot-Agro ") popup.stage_title Head Basarab RUslan Mikhailovich, Registration Date 27-01-2016 Organization Integration-Plus Ltd. popup.description2 The object of the study - satellite agromonitoring of Kyiv and Khmelnytsky regions using remote sensing data. The purpose of research - the use of innovative methods and technologies for crop classification, yield prediction, determining the areas of agriculture, using remote sensing data and the use of GIS and cloud technology. Methods - geospatial analysis, regression modeling, data mining. During the study: 1. The method of crop classification and crop mapping approach are proposed. The method and the approach are based on the use of two neural network paradigms (maps Kohonen self-organizing neural networks and arhitekruty "multilayer perceptron" to restore optical satellite data and for classification the time series of satellite images. 2. The crop maps for Kyiv and Khmelnytsky regions are created using the Landsat-8 and Sentinel-1 imagery. These maps allowed us to estimate the crop areas and to identify areas with crop rotation violations at the territory of the Kyiv region. 3. The results of analysis of satellite thematic products (NDVI, LAI, FAPAR and Fcover maps) are presented. 4. The approach of forecasting the yield of winter wheat is presented. These approach is based on using the data of vegetation index NDVI (obtained from the product MOD13) and official yield statistics. 5. The regression models for predicting the yield forecasts are created. The models are used for predicting the yield over the whole Ukrainian territory for 2013-2015. Product Description popup.authors Басараб Руслан Михайлович Лавренюк Микола Сергійович Скакун Сергій Васильович popup.nrat_date 2020-04-02 Close