【作者】 马万栋； 吴传庆； 李莉； 王益鸣；

【Author】 Ma Wandong;Wu Chuanqing;Li Li;Wang Yiming;Satellite Environment Center,Ministry of Environmental Protection;Institute of Remote Sensing Application,Chinese Academy of Sciences;Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station;

【机构】 环境保护部卫星环境应用中心； 中国科学院遥感应用研究所； 浙江省舟山海洋生态环境监测站；

【摘要】 通过现场实测杭州湾水体的遥感反射率光谱及实测水体悬浮物浓度,分析了水体遥感反射率光谱特征并选取了特征波段及组合,建立了杭州湾海域水体悬浮物浓度反演模型。通过比较不同反演模型得知,近红外反射峰面积模型是悬浮物浓度反演的最佳模型,其决定系数为0.731,利用反射峰面积模型反演悬浮物浓度其均方根误差为10.07 mg/L。通过对比HJ-CCD波段范围,对实测光谱数据进行了重采样处理,并建立了HJ-CCD光谱波段同悬浮物浓度的相关模型;利用近同步HJ-CCD影像数据对杭州湾海域水体悬浮物浓度进行了反演,得到了杭州湾海域水体悬浮物浓度分布状况图,结果表明HJ-CCD影像可较好的反演杭州湾海域水体悬浮物浓度分布。更多还原

【Abstract】 The remote sensing reflectance and the concentration of total suspended matter(TSM) of Hangzhou Bay are achieved.The retrieval models of TSM in Hangzhou Bay are built after the spectrum of remote sensing reflectance is analyzed,as well as the characteristic bands or band combination.Different methods and models are used to testify the relationship between the remote sensing reflectance and TSM concentration.We find that the model of reflectance peak area is the best one to retrieve TSM concentration in Hangzhou Bay.The determination coefficient is 0.731 and the retrieval error is 10.07 mg/L when the reflectance peak area is applied to retrieve TSM in Hangzhou Bay.Furthermore,the in situ spectrum data is arranged according to the band set of HJ-CCD and the retrieval model is built.In the end,the distribution of TSM in Hangzhou Bay is achieved based on the HJ-CCD data,and the grading distribution of total suspended matter in Hangzhou Bay is excellent shown by HJ-CCD data.更多还原