Remote sensing is an objective monitoring of the dynamics of changes in the resource potential of the tourism component of the country's modern economy. This paper proposes the information storage model for creating a global space monitoring system for the presence of municipal solid waste objects with elements of economic analysis and recreation of the health of potential tourists and the ecology of recreational areas around the world. The proposed model uses methods for decoding remote sensing images by fractal-percolation image analysis and elements of convolutional neural networks. The purpose of the work is to design a model of a global automatic monitoring system for waste disposal facilities, including industrial ones, using Earth remote sensing technologies in recreational areas, followed by an economic analysis to reduce the resource potential in the tourism business in the face of deteriorating ecology of the studied areas.