Open AccessStudy on Water quality Monitoring Method of Jialing River based on Sentinel-2 MSI Sensor Data
Author(s) -
Yingxue Lv,
Zhen Tian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2006/1/012003
Subject(s) - turbidity , environmental science , water quality , remote sensing , hydrology (agriculture) , geology , ecology , oceanography , geotechnical engineering , biology
Remote sensing monitoring has become an important means to evaluate urban water status, which plays the key role in maintaining the balance of urban ecological environment. In this study, based on the Sentinel-2 MSI sensor data, an inversion model of water quality parameters was established to monitor the concentration of chlorophyll a and suspended matter, and turbidity in some sections of the Jialing River. The results show that the inverted water quality parameters in this study are all within the normal range, and remote sensing technology can be effectively applied to regional water quality monitoring.