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Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past

机译:卫星海洋颜色传感器的动态范围和灵敏度要求:过去的经验

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Sensor design and mission planning for satellite ocean color measurements requires careful consideration of the signal dynamic range and sensitivity (specifically here signal-to-noise ratio or SNR) so that small changes of ocean properties (e.g., surface chlorophyll-a concentrations or Chl) can be quantified while most measurements are not saturated. Past and current sensors used different signal levels, formats, and conventions to specify these critical parameters, making it difficult to make cross-sensor comparisons or to establish standards for future sensor design. The goal of this study is to quantify these parameters under uniform conditions for widely used past and current sensors in order to provide a reference for the design of future ocean color radiometers. Using measurements from the Moderate Resolution Imaging Spectroradiometer onboard the Aqua satellite (MODISA) under various solar zenith angles (SZAs), typical (L_(typical)) and maximum (L_(max)) at-sensor radiances from the visible to the shortwave IR were determined. The L_(typical) values at an SZA of 45° were used as constraints to calculate SNRs of 10 multiband sensors at the same L_(typical) radiance input and 2 hyperspectral sensors at a similar radiance input. The calculations were based on clear-water scenes with an objective method of selecting pixels with minimal cross-pixel variations to assure target homogeneity. Among the widely used ocean color sensors that have routine global coverage, MODISA ocean bands (1 km) showed 2-4 times higher SNRs than the Sea-viewing Wide Field-of-view Sensor (Sea-WiFS) (1 km) and comparable SNRs to the Medium Resolution Imaging Spectrometer (MERIS)-RR (reduced resolution, 1.2 km), leading to different levels of precision in the retrieved Chl data product. MERIS-FR (full resolution, 300 m) showed SNRs lower than MODISA and MERIS-RR with the gain in spatial resolution. SNRs of all MODISA ocean bands and SeaWiFS bands (except the SeaWiFS near-IR bands) exceeded those from prelaunch sensor specifications after adjusting the input radiance to L_(typical). The tabulated L_(typical), L_(max), and SNRs of the various multiband and hyperspectral sensors under the same or similar radiance input provide references to compare sensor performance in product precision and to help design future missions such as the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission and the Pre-Aerosol-Clouds-Ecosystems (PACE) mission currently being planned by the U.S. National Aeronautics and Space Administration (NASA).
机译:用于卫星海洋颜色测量的传感器设计和任务计划需要仔细考虑信号的动态范围和灵敏度(特别是此处的信噪比或SNR),以使海洋特性发生微小变化(例如,表面叶绿素a浓度或Chl)在大多数测量未饱和时可以量化。过去和现在的传感器使用不同的信号电平,格式和约定来指定这些关键参数,因此很难进行跨传感器比较或为将来的传感器设计建立标准。这项研究的目的是在广泛使用的过去和现在的传感器的统一条件下对这些参数进行量化,以便为将来的海洋色辐射计的设计提供参考。在不同的太阳天顶角(SZA),典型(L_(典型))和最大(L_(max))从可见光到短波IR的传感器辐射下,使用Aqua卫星(MODISA)中分辨率成像分光光度计的测量值被确定。将SZA为45°时的L_(典型)值用作约束,以计算在相同L_(典型)辐射度输入下的10个多波段传感器和在相似辐射度输入下的2个高光谱传感器的SNR。计算是基于清水场景,采用客观方法来选择具有最小跨像素变化的像素以确保目标均匀性。在具有常规全球覆盖范围的广泛使用的海洋颜色传感器中,MODISA海洋波段(1公里)的信噪比是海洋宽视野传感器(Sea-WiFS)(1公里)的2-4倍,具有可比性中分辨率成像光谱仪(MERIS)-RR的SNR(降低后的分辨率为1.2 km),导致检索到的Chl数据产品的精度水平不同。 MERIS-FR(全分辨率,300 m)的信噪比低于MODISA和MERIS-RR,而空间分辨率有所提高。将输入辐射度调整为L_(典型值)后,所有MODISA海洋波段和SeaWiFS波段(SeaWiFS近红外波段除外)的SNR均超过发射前传感器的规格。在相同或相似的辐射输入下,各种多波段和高光谱传感器的列表化L_(典型值),L_(max)和SNR,为比较传感器在产品精度方面的性能提供了参考,并有助于设计未来的任务,例如对地静止沿海和空中美国国家航空航天局(NASA)目前正在计划污染事件(GEO-CAPE)任务和气溶胶-云-生态系统前(PACE)任务。

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