Development of a software package for determining key parameters of water bodies required for building an environmental monitoring network

This research discusses an innovative approach to creating an automated system for monitoring water bodies based on modern remote sensing and computer vision technologies. The presented solution is aimed at overcoming the key limitations of traditional environmental monitoring methods, such as high labor intensity, subjectivity of assessments and insufficient efficiency of data acquisition. The developed software package implements a three-stage analysis algorithm: automatic recognition of water bodies on satellite images, calculation of their morphometric characteristics and optimized design of a network of monitoring stations. Particular attention is paid to the adaptability of the system to various types of initial data and shooting conditions, which ensures high accuracy of results even when working with lowquality images. The mathematical foundations of the algorithms, the results of experimental studies and practical recommendations for implementation are described. The results demonstrate the promise of using automated analysis systems to solve environmental monitoring problems in the face of increasing anthropogenic load on aquatic ecosystems.