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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Calibration and Validation of Earth-Observing Sensors Using Deployable Surface-Based Sensor Networks
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Calibration and Validation of Earth-Observing Sensors Using Deployable Surface-Based Sensor Networks

机译：使用可部署的基于地面的传感器网络对地球观测传感器进行校准和验证

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摘要

Satellite-based instruments are now routinely used to map the surface of the globe or monitor weather conditions. However, these orbital measurements of ground-based quantities are heavily influenced by external factors, such as air moisture content or surface emissivity. Detailed atmospheric models are created to compensate for these factors, but the satellite system must still be tested over a wide variety of surface conditions to validate the instrumentation and correction model. Validation and correction are particularly important for arctic environments, as the unique surface properties of packed snow and ice are poorly modeled by any other terrain type. Currently, this process is human intensive, requiring the coordinated collection of surface measurements over a number of years. A decentralized, autonomous sensor network is proposed which allows the collection of ground-based environmental measurements at a location and resolution that is optimal for the specific on-orbit sensor under investigation. A prototype sensor network has been constructed and fielded on a glacier in Alaska, illustrating the ability of such systems to properly collect and log sensor measurements, even in harsh arctic environments.
机译：现在，通常使用基于卫星的仪器来绘制地球表面图或监视天气状况。但是，这些基于地面的量的轨道测量值受到诸如空气湿度或表面发射率之类的外部因素的严重影响。创建了详细的大气模型以补偿这些因素，但是仍必须在各种地面条件下测试卫星系统，以验证仪器和校正模型。验证和校正对于北极环境尤为重要，因为任何其他地形类型都无法很好地模拟堆积雪和冰的独特表面特性。当前，该过程是人类密集的，需要多年收集表面测量值。提出了一种分散的，自主的传感器网络，该网络允许在一个位置和分辨率下收集地面环境测量值，该位置和分辨率对于所研究的特定在轨传感器而言是最佳的。已经建立了一个原型传感器网络，并将其部署在阿拉斯加的冰川上，说明了这种系统即使在恶劣的北极环境中也能够正确收集和记录传感器测量值的能力。

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