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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Water properties in Chesapeake Bay from MODIS-Aqua measurements
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Water properties in Chesapeake Bay from MODIS-Aqua measurements

机译:通过MODIS-Aqua测量得出切萨皮克湾的水性质

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This study evaluates the performance of ocean color products derived from measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua using the standard near-infrared (NIR) and the shortwave infrared (SWIR)-based atmospheric correction algorithms in the Chesapeake Bay. The MODIS-Aqua-derived normalized water-leaving radiances, nL _w(λ), and chlorophyll-a (Chl-a) data are compared with in situ radiometric measurements from the NASA SeaWiFS Bio-optical Archive and Storage System (SeaBASS) database and Chl-a data from the Chesapeake Bay Water Quality Database. Results show that, using the NIR-SWIR combined ocean color data processing, improved nL _w(λ) and Chl-a data products can be produced in the Chesapeake Bay. However, Chl-a data are still overestimated in some Chesapeake Bay regions, in particular, in the upper bay region where waters are strongly influenced by the total suspended sediment (TSS) concentration. Specifically, using the NIR-SWIR approach, mean ratios of MODIS-derived and in situ-measured nL _w(λ) at wavelengths of 412, 443, 488, 531, 551, and 667nm for the Chesapeake Bay are 1.288, 1.093, 0.998, 0.946, 0.908, and 0.865, respectively, while mean Chl-a values over the region from satellite-derived and in situ-measure data are 11.14 and 10.28mg·m ~(-3), respectively. Based on a strong correlation relationship between TSS and water diffuse attenuation coefficient, a regional TSS algorithm for the Chesapeake Bay has been developed and validated, with mean ratio of 1.064 between MODIS-derived and in situ-measured TSS data. Therefore, using the NIR-SWIR algorithm for MODIS-Aqua ocean color data processing, nL w(λ), Chl-a, and TSS data from 2002 to 2010 for the Chesapeake Bay have been generated and used for characterizing the water properties in the region, showing strong seasonal and interannual variability, as well as important spatial variations in the region.
机译:这项研究评估了在切萨皮克湾使用标准近红外(NIR)和基于短波红外(SWIR)的大气校正算法对卫星Aqua进行中等分辨率成像光谱仪(MODIS)的测量得出的海洋色产品的性能。将MODIS-Aqua派生的归一化净水辐射率nL _w(λ)和叶绿素a(Chl-a)数据与NASA SeaWiFS生物光学档案和存储系统(SeaBASS)数据库中的原位辐射测量进行了比较切萨皮克湾水质数据库中的Chl-a数据。结果表明,使用NIR-SWIR结合海洋颜色数据处理,可以在切萨皮克湾生产出改进的nL _w(λ)和Chl-a数据产品。但是,在切萨皮克湾的某些地区,尤其是在上海湾地区,其水域受总悬浮沉积物(TSS)浓度的强烈影响,Chl-a数据仍被高估。具体而言,使用NIR-SWIR方法,切萨皮克湾的MODIS衍生和原位测量的nL _w(λ)在412、443、488、531、551和667nm波长处的平均比值为1.288、1.093、0.998分别为0.946、0.908和0.865,而来自卫星的数据和现场测量数据得出的该区域的平均Chl-a值分别为11.14和10.28mg·m〜(-3)。基于TSS与水扩散衰减系数之间的强相关关系,开发并验证了切萨皮克湾区域TSS算法,其MODIS衍生数据与原位测量TSS数据之间的平均比率为1.064。因此,使用NIR-SWIR算法进行MODIS-Aqua海洋颜色数据处理,已经生成了切萨皮克湾2002年至2010年的nL w(λ),Chl-a和TSS数据,并用于表征该地区的水质。区域,表现出强烈的季节性和年际变化,以及该区域的重要空间变化。

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