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首页> 外文期刊>International journal of remote sensing >Validation of the MODIS reflectance product under UK conditions
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Validation of the MODIS reflectance product under UK conditions

机译：在英国条件下验证MODIS反射率产品

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摘要

Surface reflectance obtained from remote-sensing data is the main input to almost all remote-sensing applications. The availability and special characteristics of Moderate Resolution Imaging Spectroradiometer (MODIS) products have led to their use worldwide. Validation of the MODIS reflectance product is then crucial to provid information on uncertainty in the reflectance data, and in other MODIS products and in the applied surface-atmosphere models. Compact Airborne Spectrographic Imager (CASI) and Systeme Pour 1'Observation de la Terre (SPOT) data, collected during the Network for Calibration and Validation in Earth Observation (NCAVEO) 2006 Field Campaign, were applied to validate daily MODIS reflectance data over a site in the southern UK. The difference in the view geometry of at-nadir CASI and SPOT data and off-nadir MODIS data was dealt with using a semi-empirical bidirectional reflectance distribution function (BRDF) model. The validation results showed that for our particular study site, the absolute errors in the MODIS reflectance product were too large to allow the albedo data to be used directly in climate models. The errors were mainly related to the uncertainties in the MODIS atmospheric variables, the BRDF model, and undetected clouds and cloud shadows. More generally, the study highlights the extreme difficulty of achieving pixel-level validation of coarse spatial resolution satellite sensor data in an environment in which the atmosphere is constantly changing, and in which the landscape is characterized by high space-time heterogeneity.
机译：从遥感数据获得的表面反射率是几乎所有遥感应用程序的主要输入。中分辨率成像光谱仪（MODIS）产品的可用性和特殊性已导致其在全球范围内的使用。因此，对MODIS反射率产品的验证对于提供有关反射率数据，其他MODIS产品以及所应用的表面-大气模型中的不确定性信息至关重要。在对地观测和定标和验证网络（NCAVEO）2006野战期间收集的紧凑型机载光谱成像仪（CASI）和系统倾倒1'Observation de la Terre（SPOT）数据用于验证站点上的每日MODIS反射率数据在英国南部。使用半经验双向反射率分布函数（BRDF）模型处理了天底CASI和SPOT数据以及天底MODIS数据的视图几何差异。验证结果表明，对于我们的特定研究站点，MODIS反射率产品中的绝对误差太大，无法将反照率数据直接用于气候模型。误差主要与MODIS大气变量，BRDF模型以及未检测到的云和云影的不确定性有关。更普遍地说，该研究突出了在大气不断变化且景观具有高时空异质性特征的环境中实现粗略空间分辨率卫星传感器数据的像素级验证的极端困难。

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  • 来源
    《International journal of remote sensing》 |2013年第20期|7376-7399|共24页
  • 作者

    H. Khavarian; P.M. Atkinson; E.J. Milton; J.B. Stewart;

  • 作者单位

    Remote Sensing Department, Kharazmi University, Tehran, Iran;

    Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK;

    Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK;

    Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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