基于Landsat 8数据反演水中CO_2含量的研究  

Study on the Algorithm of Inversing Carbon Dioxide in Seawater Based on Landsat8 Data

作　　者：王忠林[1,2] 邢旭峰 司宝玲[3] 黄妙芬 尹增强[1] 孙忠泳[2] Wang Zhonglin(Ocean and Environmevt College,Dalian Ocean University,Dalian 116023,China)

机构地区：[1]大连海洋大学海洋与环境学院,辽宁大连116023 [2]广东海洋大学数学与计算机学院,广东湛江524088 [3]大连金普新区环境监测站,辽宁大连116000

出　　处：《安徽农学通报》2018年第7期84-86,共3页Anhui Agricultural Science Bulletin

摘　　要：海水中CO2总浓度影响大气CO2的浓度水平,是决定海洋酸化程度的重要因子。该研究利用珠江口海域现场采集的数据,建立了适用于Landsat 8卫星数据的反演海水中CO_2总浓度的模型,研究结果表明:利用现场实测数据对遥感模式估算值进行验证,所建立模式具有较高的准确率;珠江口海域水中总CO_2数值在26~70mg/L,分布为近岸海域高于外海,西部海域远高于中部和东部。The total CO2 concentration in the sea water affects the level of atmospheric CO2 and is the decisive factor of the degree of ocean acidification.The article,based on the data which were measured in the Pearl River Estuary,is erecting the model of the distribution of the total CO2 concentration in the sea water which is adaptable for the retrieval of data of Landsat8 OLI.The results showed that the use of the measured data to validate the values estimated from remote sensing model indicating that the model has a high accuracy rate.The values of CO2 in the Pearl River estuary is between 26~70mg/L,offshore higher than the open sea and western higher than the central and eastern.

关 键 词：珠江口海域 Landsat卫星数据 海水总二氧化碳 黄色物质 反演算法 

分 类 号：P716.5[天文地球—海洋科学]