Inversion of Chl-a concentration in Jingpo lake based on Landsat 8 OLI data

doi:10.14088/j.cnki.issn0439-8114.2021.23.035

Abstract

Abstract: In order to select the Chl-a remote sensing monitoring model suitable for Jingpo lake, combined with the measured Chl-a concentration in July 2018 and the synchronous Landsat 8 OLI image, this study established the Simple Linear Regression （SLR） and Multiple Linear Regression （MLR） of Chl-a concentration, and evaluated the prediction effects of the two models according to the principle of optimal fitting degree and verification accuracy. The results showed that the MLR model with four bands （B₂, B₃, B₄ and B₅ bands） has better inversion accuracy than other models. From the spatial distribution of Chl-a, the center of the lake is the low-value area, and the estuary of the river is the high-value area。

Key words: Jinpo lake, Chl-a, remote inversion, satellite imagery, lake water quality

CLC Number:

TP79

LIU Yu, ZHU Dan-yao. Inversion of Chl-a concentration in Jingpo lake based on Landsat 8 OLI data[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(23): 157-162.

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