高光谱成像
环境科学
反演(地质)
透明度(行为)
水质
相关系数
支流
随机森林
水文学(农业)
遥感
地质学
地理
统计
数学
计算机科学
生态学
地图学
地貌学
计算机安全
岩土工程
构造盆地
机器学习
生物
作者
Qing Xu,Chenyi Pan,Dongchen Huang,Zepeng Jin
摘要
Transparency is an important parameter to describe the optical properties of lake water. Based on the field measured data of April 19, 2018 and September 8, 2019, and GF-5 hyperspectral satellite images, Random Forest and BPNN methods were used to retrieve the transparency of water bodies. The study shows that the Random Forest algorithm performs well in the waters of Qiandao Lake, the R2 between the inversion value and the measured value is 0.8651, and the MAPE is 0.16m. Based on the GF-5 hyperspectral satellite image on September 8, 2019, the spatial distribution characteristics of water transparency in Qiandao Lake were obtained by using Random Forest algorithm. The results show that the overall transparency of Qiandao Lake is higher (1.3~6.8m), and the water transparency in the middle of the lake is higher than that in the northwest and southwest tributaries. According to the analysis of the measured water transparency and the environmental factors of synchronous measurement, the water transparency of Qiandao Lake is affected by many environmental factors, among which the correlation with the concentration of suspended solids is strong, and the correlation coefficient is 0.831. The correlation with total phosphorus concentration, water surface temperature, ph value, wind speed and other environmental factors is weak.
科研通智能强力驱动
Strongly Powered by AbleSci AI