Year: 2025
Type: article
Abstract: To select a suitable remote sensing inversion model for the concentration of chlorophyll-a, a key water quality parameter of Qinghai Lake, this study based on Landsat 8 remote sensing image data and combined with the measured chlorophyll-a concentration data, constructed an inversion model for chlorophyll-a concentration in Qinghai Lake, and explored the spatial distribution pattern of chlorophyll-a concentration in Qinghai Lake in July 2024. The results show that the bands with higher correlation with the chlorophyll-a concentration of this water body are Landsat 8's B1, B6, and B7 bands; the band combination B6-B7 has a high correlation with the natural logarithm of chlorophyll-a concentration; the root mean square error (RMSE) of the chlorophyll-a concentration inversion model constructed is 0.162 μg/L, and the mean absolute error (MAE) is 14.36%, with high accuracy and good applicability; in July 2024, the chlorophyll-a concentration in Qinghai Lake showed a characteristic of lower concentrations at the river mouths such as the Buhai River and higher concentrations in areas such as the Erliangxian coast.
Authors: Jing Shi, Hailin Niu, Zhaoyang Xie
Institution: Qinghai University
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412907227