Annotation: This article describes in detail the process of creating a program written in the interpreted Python programming language. The function of this program is to automate the processing of satellite data archives on the content of chlorophyll, nitrates and phosphates to save time and prevent manual processing errors due to the human factor. The article describes in detail the program code, its segments and algorithms.

Keywords: automation, program, Python, hydrochemistry, data processing.