湖泊科学2017，Vol.29Issue(6)：1473-1484,12.DOI:10.18307/2017.0619
适用于多种卫星数据的太湖水体漫衰减系数估算算法
Remote sensing estimation algorithm of diffuse attenuation coefficient applicable to different satellite data in Lake Taihu, China
摘要
Abstract
The downwelling diffuse attenuation coefficient (Kd) plays a critical role in underwater light field.It determines the euphotic depth,and affects the distribution characteristics of phytoplankton and primary productivity.Based on in situ data collected from 4 cruise surveys in Lake Taihu during 2008-2013,both the variations and driving factors of Kd were analyzed,and an algorithm to estimate downwelling diffuse attenuation coefficient at 490 nm for a variety of satellites' data was developed and validated.The results show that:(1) suspended particular inorganic matter is the decisive factor of Kd in Lake Taihu;(2) the algorithm of red-green band ratio is the most suitable for estimating Kd(490) in Lake Taihu (N=72,R2 =0.72,RMSE=0.89 m-1,MAPE=21.58％);(3) with the simulated remote sensing reflectance of the main sensor bands such as MODIS/EOS,OLCI/Sentinel-3,GOCI/COMS and MSI/Sentinel-2,the red-green ratio algorithm to estimate Kd(490) was established for a variety of remote sensing sensors(N=72,R2＞0.7,RMSE＜0.9 m-1,MAPE＜22.0％),and the validation was good as well(N=37,R2＞0.7,RMSE＜0.9 m-1,MAPE＜22.0％).关键词
太湖/漫衰减系数/遥感反射率Key words
Lake Taihu/diffuse attenuation coefficient/remote sensing reflectance引用本文复制引用
沈明,段洪涛,曹志刚,薛坤,马荣华..适用于多种卫星数据的太湖水体漫衰减系数估算算法[J].湖泊科学,2017,29(6):1473-1484,12.基金项目
江苏省杰出青年基金项目(BK20160049)、国家自然科学基金项目(41671358,41431176)和中国科学院青年创新促进会项目(2012238)联合资助. （BK20160049）
