基于SDGSAT-1影像的总悬浮物浓度反演方法研究  

Inversion Method of Total Suspended Matter Concentration Based on SDGSAT-1 Image

作　　者：郑直 李连伟[1] 苏博 张源榆 ZHENG Zhi;LI Lianwei;SU Bo;ZHANG Yuanyu(College of Oceanography and Space Informatics,China University of Petroleum,Qingdao 266580,China;Shandong Marine Resource and Environment Research Institute,Yantai 264006,China)

机构地区：[1]中国石油大学(华东)海洋与空间信息学院,山东青岛266580 [2]山东省海洋资源与环境研究院,山东烟台264006

出　　处：《海洋技术学报》2023年第6期13-20,共8页Journal of Ocean Technology

基　　金：国家重点研发计划资助项目(2022YFC3103102-03);中国科学院战略性先导科技专项资助项目(XDA19060103)。

摘　　要：总悬浮物浓度是海洋的重要水质参数之一,其对水体透明度、水下光场及初级生产力有显著影响,同时对河流入海口与海岸带冲淤变化过程有重要作用。本文基于我国自主研制的SDGSAT-1卫星遥感影像,使用准分析算法(Quasi-Analytical Algorithm,QAA)获取水体固有光学量,并结合2022年4月黄河口区域总悬浮物浓度实测数据,建立水体固有光学量与总悬浮物浓度实测数据的单波段、波段加减、波段比值,以及多波段组合等模型并开展遥感反演,最后将反演结果同实测数据及基于Sentinel-2B影像的总悬浮物浓度反演结果进行对比。研究结果表明:基于SDGSAT-1影像的总悬浮物浓度反演结果在黄河口高浓度区域的决定系数为0.622,均方根误差为7.94 mg/L;基于Sentinel-2B影像的总悬浮物浓度反演结果在黄河口高浓度区域的决定系数为0.589,均方根误差为8.27 mg/L。故在我国近岸海域总悬浮物浓度反演方面,SDGSAT-1影像反演精度与Sentinel-2B影像反演精度相媲美。Total suspended matter concentration is one of the important water quality parameters in inland as well as marine,and suspended solids have significant effects on water clarity,underwater light field and primary productivity,and also play an important role in the change process of estuarine,river and coastal zone erosion and siltation,which has important research significance.Based on the SDGSAT-1 satellite remote sensing image developed by China,this paper uses the QAA semi-analytical algorithm to obtain the inherent optical properties of water,and combines the measured data of suspended matter concentration in the Yellow River estuary area in April 2022 to establish the single-band、band plus or minus、band ratio and multi-band combination models of the inherent optical properties of water and the measured data of suspended matter concentration,and finally compares the inversion results of suspended matter concentration based on SDGSAT-1 images with the measured data and the inversion results based on Sentinel-2B images.The results show that the inversion model based on SDGSAT-1 images has an R^(2) of 0.622 and an RMSE of 7.9450 mg/L in the high concentration region of the Yellow River estuary,while the inversion model based on Sentinel-2B images has an R^(2) of 0.589 and an RMSE of 8.2784 mg/L in the high concentration region of the Yellow River estuary,and the SDGSAT-1 model is better than the Sentinel-2B model,and both the SDGSAT-1 model and the Sentinel-2B model can obtain better inversion results in the high concentration region.

关 键 词：总悬浮物 QAA算法 遥感反演 SDGSAT-1 黄河口 

分 类 号：P715.7[天文地球—海洋科学]