基于Landsat-8陆地成像仪与Sentinel-2多光谱成像仪传感器的香港近海海域叶绿素a浓度遥感反演  

Remote Sensing Inversion of Chlorophyll a Concentration in Hong Kong Coastal Waters Based on Landsat-8 Operational Land Imager and Sentinel-2 Multispectral Imager sensors

作　　者：董舜丹 何宏昌 付波霖 范冬林 王涛涛 DONG Shun-dan;HE Hong-chang;FU Bo-lin;FAN Dong-lin;WANG Tao-tao(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541006,China)

机构地区：[1]桂林理工大学测绘地理信息学院,桂林541006

出　　处：《科学技术与工程》2021年第20期8702-8712,共11页Science Technology and Engineering

基　　金：国家自然科学基金(41801071);广西自然科学基金(GXNSFBA281015);桂林理工大学科研启动基金(GUTQDJJ2017096);广西科技计划项目(桂科AD20159037);广西八桂学者团队项目。

摘　　要：为验证Landsat-8陆地成像仪(operational land imager,OLI)遥感数据与Sentinel-2多光谱成像仪(multispectral imager,MSI)遥感数据监测近海海域叶绿素a浓度可行性,以其为数据源,香港近海海域为研究区域,以半分析模型为方法,挑选与监测点实测叶绿素a浓度采集时间一致且遥感影像云覆盖率小于10%影像清晰的两类遥感影像。对两类遥感影像分别选取2/3的遥感影像数据经预处理后提取其对应实测日期监测点位置遥感反射率进行相关性分析,得到相关性最高的反演因子进行建模,并且利用剩下的1/3数据对其反演回复回归模型进行精度检验,其结果与OCx Ocean Chlorophyll X模型反演结果进行对比效果显著。基于Landsat-8遥感数据建立的最佳反演回归半分析模型决定系数R^(2)为0.906,略高于基于Sentinel-2遥感数据建立的最佳反演回归半分析模型,其R^(2)为0.801。与此同时证明了就香港近海海域叶绿素a浓度反演两类遥感数据的可行性,且两类数据的反演结果均呈现出香港近海海域内部海域叶绿素a浓度高于外部叶绿素a浓度的现象。To evaluate the efficacy of using Landsat-8 operational land imager(OLI)and Sentinel-2 multispectral imager(MSI)remote sensing data to monitor chlorophyll-a concentration in offshore waters,the Hong Kong coastal waters were used as the testing field,and the semi-analytical model was used as the tool,measured chlorophyll at points was selected and monitored using two types of remote sensing images with the same concentration collection time,and the remote sensing image cloud coverage rate was less than 10%.Two-thirds of the remote sensing image data was preprocessed to retrieve the remote sensing reflectance corresponding to the actual date of the monitoring point for correlation analysis,and the most important inversion element was collected for modeling,while the remaining 1/3 of the data was checked for the precision of its inversion and recovery regression model,and the comparison between the results with Ocean Chlorophyll X model inversion is extraordinary.The best inversion regression semi-analytic model based on Landsat-8 remote sensing data has an R^(2) of 0.906,which is significantly better than the R^(2) of the best inversion regression semi-analytic model based on Sentinel-2 data,which is 0.801.Simultaneously,it establishes the feasibility of inverting two types of remote sensing data for chlorophyll-a concentration in Hong Kong coastal waters,and the inversion findings reveal that the chlorophyll-a concentration in the internal waters of the Hong Kong coastal water is higher than the external chlorophyll-a concentration.

关 键 词：Landsat-8陆地成像仪(OLI) Sentinel-2多光谱成像仪(MSI) 叶绿素A浓度 半分析模型 

分 类 号：X55[环境科学与工程—环境工程] X87