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利用 Terra MODIS 估算悬浮物浓度:以中国长江下游为例。

Estimation of suspended sediment concentrations using Terra MODIS: an example from the Lower Yangtze River, China.

机构信息

Department of Geography, National University of Singapore, 10 Kent Ridge Crescent 119260, Singapore.

出版信息

Sci Total Environ. 2010 Feb 1;408(5):1131-8. doi: 10.1016/j.scitotenv.2009.11.057.

Abstract

Traditional measurements of suspended sediment concentrations (SSC) through in-situ sampling in rivers are expensive and time-consuming to perform. Thus, these methods cannot provide continuous SSC records. Although remote sensing has been used for SSC estimation, little research has been undertaken on inland rivers, especially for highly turbid rivers like the Yangtze. Previous studies have proposed Landsat TM/ETM+ Band 4 as a spectral SSC indicator for the Yangtze, but its limitation on temporal resolution is insufficient for the study of dynamic changes of sediment. This paper presents a method of estimating SSC of the Yangtze at Jiujiang using time-series satellite data of high temporal resolution Terra MODIS. It was found that differences in water reflectance between Band 2 and Band 5 could provide relatively accurate SSC estimation even when in-situ atmospheric conditions were unknown. After cross-validation, mean absolute relative error (ARE) and relative root mean square error (RRMSE) were relatively low (i.e., 25.5% and 36.5%, respectively). This empirical relationship was successfully applied to the estimation of SSC at Datong in the Lower Yangtze River, although the SSC values were generally underestimated. This study suggests that Terra MODIS could be used to estimate SSC in large turbid rivers, although some influencing factors require further study to improve the accuracy of SSC estimation.

摘要

传统的河流悬浮泥沙浓度(SSC)原位采样测量既昂贵又耗时,无法提供连续的 SSC 记录。尽管遥感已被用于 SSC 估算,但针对内陆河流,特别是像长江这样的高浊度河流的研究甚少。先前的研究提出利用陆地卫星 TM/ETM+波段 4 作为长江的光谱 SSC 指标,但它在时间分辨率上的局限性不足以研究泥沙的动态变化。本文提出了一种利用 Terra MODIS 高时间分辨率卫星时间序列数据估算九江长江 SSC 的方法。结果表明,即使在不知道现场大气条件的情况下,波段 2 和波段 5 之间的水体反射差异也可以提供相对准确的 SSC 估算。经过交叉验证,平均绝对相对误差(ARE)和相对均方根误差(RRMSE)相对较低(分别为 25.5%和 36.5%)。该经验关系式成功应用于长江下游大通站 SSC 的估算,尽管 SSC 值普遍被低估。本研究表明,Terra MODIS 可用于估算大浊度河流的 SSC,但需要进一步研究一些影响因素,以提高 SSC 估算的准确性。

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