祝令亚, 王世新, 周艺, 阎福礼, 杨龙元. 应用MODIS影像估测太湖水体悬浮物浓度[J]. 水科学进展, 2007, 18(3): 444-450.
引用本文: 祝令亚, 王世新, 周艺, 阎福礼, 杨龙元. 应用MODIS影像估测太湖水体悬浮物浓度[J]. 水科学进展, 2007, 18(3): 444-450.
ZHU Ling-ya, WANG Shi-xin, ZHOU Yi, YAN Fu-li, YANG Long-yuan. Estimation of suspended sediment concentration in Taihu lake using MODIS image data[J]. Advances in Water Science, 2007, 18(3): 444-450.
Citation: ZHU Ling-ya, WANG Shi-xin, ZHOU Yi, YAN Fu-li, YANG Long-yuan. Estimation of suspended sediment concentration in Taihu lake using MODIS image data[J]. Advances in Water Science, 2007, 18(3): 444-450.

应用MODIS影像估测太湖水体悬浮物浓度

Estimation of suspended sediment concentration in Taihu lake using MODIS image data

  • 摘要: 以太湖为研究区域,同步获取悬浮物浓度实测数据、水体反射光谱数据和MODIS卫星影像数据,构建基于中分辨率成像光谱仪(MODIS)的悬浮物遥感估测模型.为了削弱大气效应,对MODIS影像了进行了粗略大气纠正.通过悬浮物特征光谱分析,将MODIS各敏感波段及波段组合与悬浮物浓度实测值进行相关分析,并应用实测光谱数据进行验证.在此基础上,运用回归分析建立半经验反演模型,并对模型进行了评价和应用.研究结果表明,MODIS影像可以很好地对大型内陆湖泊的悬浮物浓度进行遥感估测.250 m波段2 500 m波段4与1 000 m波段14是探测悬浮物的敏感波段.波段组合上,500 m组合因子r4/r3、r4-r3估测悬浮物含量的精度很高,适于构建反演模型;1 000 m波段8、11、131、4的多元组合也是构建模型的较好选择(R2均不低于0.85).

     

    Abstract: Some models based on(moderate resolution imaging spectrometer,MODIS) image data for estimating concentration of the suspended sediment(SS) are developed by taking Taihu lake as an experimental site in this study.SS concentration measurements,field spectra and MODIS images are obtained concurrently.An image-based atmosphere correction method is applied in preprocess of MODIS image data to reduce the atmospheric effect.Based on studying the spectral characteristic of SS,the suitable MODIS bands and band combinations are correlated with SS measurements.The field spectra data is used to confirm the result.Then,using simple regressive and multivariate regression analysis,the semi-empirical retrieval models are developed,evaluated and applied.This study demonstrates that MODIS images are useful in estimating SS concentration in large inland lakes like Taihu lake.Bands 2,4,14 with different resolutions of 250 m,500 m and 1 000 m are suitable to detect SS concentration.The combinations of r4/r3 and r4-r3 with 500 m resolution,the multivariate combination of bands 8,11,13,14 with 1 000 m resolution are chosen to develop the retrieval models(R2≥0.85).

     

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