基于Landsat-8 OLI影像的沭河临沂段氮磷污染物反演
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摘要
以沭河临沂段为研究区,综合利用研究区2014年1月～2017年5月水质例行监测数据和25幅Landsat-8 OLI卫星遥感影像,采用线性回归方法建立了多光谱遥感数据波段反射率与氨氮(NH_3-N)和总磷(TP)地面实测数据之间的回归模型,并利用实测数据对模型进行验证。研究结果表明,分别以波段比值R/G和NIR/G构建的NH_3-N和TP反演模型基本满足遥感监测的要求,可以用来作进一步的研究。
Taking the Shu River in Linyi as the study area,the dissertation established regression models by using the routine monitoring data of the water from January 2014 to May 2017 and 25 Landsat-8 OLI satellite remote sensing images. The regression models between spectral reflectance of multi-spectral remote sensing data and the measured concentrations of ammonia nitrogen( NH_3-N) and Total Phosphorus( TP). And the established models were verfied by using the measured data. The results showed that established models of NH_3-N and TP constructed with the band ratios R/G and NIR/G respectively,meeting the requirements of remote sensing monitoring,which can be used for further research.
Taking the Shu River in Linyi as the study area,the dissertation established regression models by using the routine monitoring data of the water from January 2014 to May 2017 and 25 Landsat-8 OLI satellite remote sensing images. The regression models between spectral reflectance of multi-spectral remote sensing data and the measured concentrations of ammonia nitrogen( NH_3-N) and Total Phosphorus( TP). And the established models were verfied by using the measured data. The results showed that established models of NH_3-N and TP constructed with the band ratios R/G and NIR/G respectively,meeting the requirements of remote sensing monitoring,which can be used for further research.
引文
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[2]胡举波.黄浦江上游水域水质遥感监测模型的研究[D].上海:同济大学,2006.
[3]谢欢.基于遥感的水质监测与时空分析[D].上海:同济大学,2006.
[4]刘瑶,江辉.鄱阳湖表层水体总磷含量遥感反演及其时空特征分析[J].自然资源学报,2013(12):2169-2177.
[5]徐良将,黄昌春,李云梅,等.基于高光谱遥感反射率的总氮总磷的反演[J].遥感技术与应用,2013,28(4):681-688.
[6]杨柳,韩瑜,李帆,等.基于ETM+影像的温榆河水质参数反演[J].黑龙江大学自然科学学报,2013(4):533-539.
[7]何报寅,丁超,杨小琴,等. Landsat7 ETM+SLC-OFF数据的修复及其在武汉东湖水质反演中的应用[J].长江流域资源与环境,2011,20(1):90-95.
[8]王丽艳,李畅游,孙标.基于MODIS数据遥感反演呼伦湖水体总磷浓度及富营养化状态评价[J].环境工程学报,2014,8(12):5527-5534.
[9] NASA. Landsat 7 Science Data Users Handbook[M]. USA,2011.
[10] CHANDER G,MARKHAM B. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges[J]. IEEE Transactions on Geoscience&Remote Sensing,2003,41(11):2674-2677.
[11] ZHENG W,ZENG Z Y. Dark-Object Methods for atmospheric correction of remote sensing image[J]. Remote Sensing for Land&Resources,2005,17(1):8-11.
[12] GILABERT M A,CONESE C,MASELLI F. An atmospheric correction method for the automatic retrieval of surface reflectances from TM images[J]. International Journal of Remote Sensing,1994,15(10):2065-2086.
[13] LU D,MAUSEL P,BRONDIZIO E,et al. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research[J]. International Journal of Remote Sensing,2002,23(13):2651-2671.