Open AccessEstimation of water quality parameters from space images
Author(s) -
Anastasia K. Popova
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.47350/aicts.2020.17
Subject(s) - multispectral image , water quality , remote sensing , computer science , environmental science , space (punctuation) , pollution , multispectral pattern recognition , quality (philosophy) , data mining , artificial intelligence , ecology , geography , philosophy , epistemology , biology , operating system
Water quality affects many human activities. Remote sensing is efficient and economical instrument for water monitoring. The paper investigates the problem of choosing an algorithm for Chl-a concentration determination. In this study, we made calculations for Multispectral Instrument (MSI) on Sentinel-2 for Lake Baikal by different empirical algorithms and C2RCC tool. We choose 3 band combination that have high correlation with in situ data of Chl-a. Resultant distribution map display spatial dynamics of Chl-a in the lake. Our research is intended to help environmental scientist to assess pollution level of the Lake Baikal and interpret the ecological meaning of results