Remote sensing products of inherent optical properties of Hulun Lake from 2016 to 2020

Hulun Lake is the largest steppe lake in the high latitude semi-arid region of inland China, which is of great significance for grassland production and steppe - lake ecosystem maintenance. The absorption coefficient of water can characterize the optically active components in water and is helps to estimate the optically active substances and other related parameters of water body and water environment. Based on the quasi-analytical algorithm（QAA）, a QAA-750E absorption coefficient inversion algorithm suitable for inland water bodies is used in this paper, based on Sentinel-3/OLCI remote sensing reflectance data, The monthly mean phytoplankton absorption coefficient and backscattering coefficient of Hulun Lake during 2016-2020 were produced. Where N = 15, R2 is 0.59, RMSE is 0.55, and MRD is 0.54, indicating that the data results have a certain reliability. The product can provide data support for water quality monitoring and ecological environment protection of Hulun Lake.

呼伦湖是中国内陆高纬度半干旱区最大的草原湖泊，对草原生产及草原-湖泊生态系统维持具有重要意义。水体吸收系数可表征水中的光学活性组分，有助于估算水体及水环境的光学活性物质等相关参数。本文基于准解析算法（quasi-analytical algorithm，QAA），以Sentinel-3/OLCI遥感反射率数据为基础，构建了适用于内陆水体的QAA-750E吸收系数反演算法，生成了2016-2020年呼伦湖逐月平均浮游植物吸收系数与后向散射系数。本次反演的样本量N=15，决定系数R²为0.59，均方根误差RMSE为0.55，平均相对误差MRD为0.54，表明该数据结果具备一定可靠性。该数据集产品可为呼伦湖的水质监测与生态环境保护提供数据支撑。