1. Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China 2. Geomatics and Applications Laboratory,Liaoning Technical University,Fuxin 123000,China 3. State Key Laboratory of Pollution Control and Resource Reuse,Tongji University,Shanghai 200092,China
Abstract：The concentration of dissolved oxygen (DO) is one of the most important quality indicators to reflect the water organic pollution. In the present paper,the typical water quality parameter in Huangpu River upper region,namely dissolved oxygen (DO),is chosen as the research object. Using ground hyperspectral remote sensing data,multispectral remote sensing data and in situ water quality monitoring data,the relation between the characteristic of water spectral reflectance and the concentration of DO is first analyzed. The result generated with the given monitoring methods indicates that the correlation between DO concentration and spectral reflectance at band 641 nm is the highest,while the logarithmic model using the ratio of Landsat5 TM band 3 to 4 as an independent variable has the highest correlation coefficient (0.829). The accuracy and the generality of the derived model are then tested,and the temporal-spatial changes of dissolved oxygen based on multi-temporal remote sensing imageries are further studied. The result shows that the DO model has a high accuracy,the temporal change characteristic of estimated DO is in consistency with that of measured ground data,and the DO concentration distribution derived from this model is also in accordance with the practical organic pollution distribution characters in this region.
谢欢1,2,童小华1*,仇雁翎3,张洪恩3,张亚雷3,赵建夫3 . 黄浦江上游遥感监测溶解氧模型与时空变化[J]. 光谱学与光谱分析, 2007, 27(08): 1574-1579.
XIE Huan1,2,TONG Xiao-hua1*,QIU Yan-ling3,ZHANG Hong-en3,ZHANG Ya-lei3,ZHAO Jian-fu3 . Monitoring Model and Temporal-Spatial Changes of Dissolved Oxygen Based on Remote Sensing: a Case Study in Huangpu River . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1574-1579.
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