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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development
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Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development

机译:PALS土壤水分运动测量的长期分析,用于开发全球土壤水分算法

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摘要

An important component of satellite-based soil moisture algorithm development and validation is the comparison of coincident remote sensing and in situ observations that are typically provided by intensive field campaigns. The planned NASA Soil Moisture Active Passive (SMAP) mission has unique requirements compared to previous soil moisture satellite programs because both active and passive microwave observations are needed. The primary source of these combined observations has been an aircraft-based SMAP simulator called PALS (Passive and Active L-band System). This paper presents an overview of the field experiment data collected using PALS that spans 10. years. Data from the various campaigns were merged to form a single data set. Analyses showed that the data set contains an extensive range of soil moisture values collected under a variety of conditions and that the quality of both the PALS and ground truth data meets the needs of SMAP algorithm development and validation. The study suggests that the data set should be expanded in order to achieve globally representative land cover diversity and that more observations under dense vegetation conditions and longer time series would be desirable.
机译:基于卫星的土壤湿度算法开发和验证的一个重要组成部分是比较同步遥感和现场密集观测活动通常提供的现场观测结果。与以前的土壤水分卫星计划相比,计划中的NASA土壤水分主动无源(SMAP)任务具有独特的要求,因为需要主动和被动微波观测。这些综合观察的主要来源是基于飞机的SMAP模拟器,称为PALS(无源和有源L波段系统)。本文概述了使用PALS收集的跨越10年的现场实验数据。来自各种活动的数据被合并以形成单个数据集。分析表明,该数据集包含在各种条件下收集的广泛的土壤湿度值,并且PALS和地面真实数据的质量均满足SMAP算法开发和验证的需求。研究表明,应扩大数据集以实现具有全球代表性的土地覆盖多样性,并希望在茂密的植被条件和更长的时间序列上进行更多观察。

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