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The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

机译:土壤水分主动被动验证实验2012(SMAPVEX12):SMAP土壤水分算法的发射前校准和验证

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摘要

The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in January 2015. In order to develop robust soil moisture retrieval algorithms that fully exploit the unique capabilities of SMAP, algorithm developers had identified a need for long-duration combined active and passive L-band microwave observations. In response to this need, a joint Canada–U.S. field experiment (SMAPVEX12) was conducted in Manitoba (Canada) over a six-week period in 2012. Several times per week, NASA flew two aircraft carrying instruments that could simulate the observations the SMAP satellite would provide. Ground crews collected soil moisture data, crop measurements, and biomass samples in support of this campaign. The objective of SMAPVEX12 was to support the development, enhancement, and testing of SMAP soil moisture retrieval algorithms. This paper details the airborne and field data collection as well as data calibration and analysis. Early results from the SMAP active radar retrieval methods are presented and demonstrate that relative and absolute soil moisture can be delivered by this approach. Passive active L-band sensor (PALS) antenna temperatures and reflectivity, as well as backscatter, closely follow dry down and wetting events observed during SMAPVEX12. The SMAPVEX12 experiment was highly successful in achieving its objectives and provides a unique and valuable data set that will advance algorithm development.
机译:美国国家航空航天局(NASA)的土壤水分主动无源(SMAP)卫星计划于2015年1月发射。为了开发可充分利用SMAP独特功能的强大土壤水分检索算法,算法开发商已确定需要长期组合有源和无源L波段微波观测。为了满足这种需求,加拿大和美国联合2012年在加拿大曼尼托巴(Manitoba)进行了为期六周的现场实验(SMAPVEX12)。NASA每周几次飞行两架载有可模拟SMAP卫星观测结果的飞机。地面人员收集了土壤湿度数据,农作物测量值和生物量样本以支持这项运动。 SMAPVEX12的目的是支持SMAP土壤水分检索算法的开发,增强和测试。本文详细介绍了机载和野外数据收集以及数据校准和分析。提出了SMAP有源雷达反演方法的早期结果,并证明了该方法可以提供相对和绝对的土壤湿度。被动有源L波段传感器(PALS)的天线温度和反射率以及反向散射密切跟踪在SMAPVEX12期间观察到的干燥和润湿事件。 SMAPVEX12实验在实现其目标方面非常成功,并提供了独特而有价值的数据集,将促进算法开发。

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