  This paper discusses the development of a convolutional architecture of a
deep neural network for the recognition of wildfires on satellite images. Based
on the results of image classification, a fuzzy cognitive map of the analysis
of the macroeconomic situation was built. The paper also considers the prospect
of using hybrid cognitive models for forecasting macroeconomic indicators based
on fuzzy cognitive maps using data on recognized wildfires on satellite images.
