Multi-Platform Radiometer Systems for Surface Soil Moisture Retrieval
Multi-Platform Radiometer Systems for Surface Soil Moisture Retrieval
复制标题
用于表层土壤水分反演的多平台辐射计系统
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
V. Pauwels
中科院分区：
文献类型：
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作者：
Xiaoling Wu;N. Ye;J. Walker;J. Hills;F. Jonard;V. Pauwels
现成的土壤湿度数据将帮助农民更好地优化灌溉计划，最大限度地减少用水量。因此，在全球范围内，人们对在精准农业中使用传感技术的兴趣日益浓厚。其中，被动微波传感技术被认为是最准确的土壤水分反演技术。本研究比较了l波段辐射计系统在两种不同平台上的性能：机载和近地面（车）。在澳大利亚塔斯马尼亚州的一个农业地点进行了连续三天的田间试验。为了评估两种l波段辐射计系统的精度，还进行了地面采样。来自小车的亮度温度数据显示出比飞机数据更大的逐日时间变化，这可能是由于小车收集数据所需的灌溉活动时间比飞机长。在亮度温度与土壤湿度的关系方面，两个平台的结果相似，而基于bug的数据与土壤湿度的相关性略好。
Readily available soil moisture data will help farmers to better optimize their irrigation scheduling and minimize water consumption. Consequently, there is a large and accelerating interest in using sensing technologies in precision agriculture worldwide. Among them, passive microwave sensing technology has been considered as the most accurate in retrieving soil moisture. This study compares the performance of an L-band radiometer system at two different platforms: airborne and near-surface (buggy). Field experiments have been conducted across an agricultural site in Tasmania, Australia for three consecutive days for. Ground sampling was also conducted in order to evaluate the accuracy of both L-band radiometer systems. Brightness temperature data from the buggy showed a larger temporal variation on individual days than the aircraft data, likely due to the irrigation activity during the longer period required for data collection by the buggy than for the aircraft. In terms of the relationship between brightness temperature and soil moisture, both platforms showed similar results while the buggy-based data showed a slightly better correlation with soil moisture.