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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Validation and scaling of soilmoisture in a semi-arid environment: SMAP validation experiment 2015 (SMAPVEX15)
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Validation and scaling of soilmoisture in a semi-arid environment: SMAP validation experiment 2015 (SMAPVEX15)

机译:半干旱环境中土壤验证和缩放:SMAP验证实验2015(SMAPVEX15)

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The NASA SMAP (Soil Moisture Active Passive) mission conducted the SMAP Validation Experiment 2015 (SMAPVEX15) in order to support the calibration and validation activities of SMAP soil moisture data products. The main goals of the experiment were to address issues regarding the spatial disaggregation methodologies for improvement of soil moisture products and validation of the in situ measurement upscaling techniques. To support these objectives high-resolution soil moisture maps were acquired with the airborne PALS (Passive Active L-band Sensor) instrument over an area in southeast Arizona that includes the Walnut Gulch Experimental Watershed (WGEW), and intensive ground sampling was carried out to augment the permanent in situ instrumentation. The objective of the paper was to establish the correspondence and relationship between the highly heterogeneous spatial distribution of soil moisture on the ground and the coarse resolution radiometer-based soil moisture retrievals of SMAP. The high-resolution mapping conducted with PALS provided the required connection between the in situ measurements and SMAP retrievals. The in situ measurements were used to validate the PALS soil moisture acquired at 1-km resolution. Based on the information from a dense network of rain gauges in the study area, the in situ soil moisture measurements did not capture all the precipitation events accurately. That is, the PALS and SMAP soil moisture estimates responded to precipitation events detected by rain gauges, which were in some cases not detected by the in situ soil moisture sensors. It was also concluded that the spatial distribution of the soil moisture resulted from the relatively small spatial extents of the typical convective storms in this region was not completely captured with the in situ stations. After removing those cases (approximately 10% of the observations) the following metrics were obtained: RMSD (root mean square difference) of 0.016 m(3)/m(3) and correlation of 0.83. The PALS soil moisture was also compared to SMAP and in situ soil moisture at the 36-km scale, which is the SMAP grid size for the standard product. PALS and SMAP soil moistures were found to be very similar owing to the close match of the brightness temperature measurements and the use of a common soil moisture retrieval algorithm. Spatial heterogeneity, which was identified using the high-resolution PALS soilmoisture and the intensive ground sampling, also contributed to differences between the soilmoisture estimates. In general, discrepancies found between the L-band soilmoisture estimates and the 5-cm depth in situ measurements require methodologies to mitigate the impact on their interpretations in soilmoisture validation and algorithm development. Specifically, the metrics computed for the SMAP radiometer-based soil moisture product over WGEW will include errors resulting from rainfall, particularly during the monsoon season when the spatial distribution of soil moisture is especially heterogeneous. (C) 2017 Elsevier Inc. All rights reserved.
机译:NASA SMAP(土壤湿度有源被动)任务进行了SMAP验证实验2015(SMAPVEX15),以支持SMAP土壤水分数据产品的校准和验证活动。实验的主要目标是解决关于改善土壤水分产物的空间分解方法的问题,并验证原位测量升高技术。为了支持这些目的,在东南亚利桑那州的一个区域内使用空中PALS(被动活性L频带传感器)仪器获得高分辨率的土壤水分地图,包括核桃谷谷实验流域(WGEW),并进行强化地面采样增强永久性的原位仪器。本文的目的是建立对地面土壤水分的高度异质空间分布与粗糙分辨率的辐射计的土壤水分检索之间的对应和关系。用PALS进行的高分辨率映射提供了原位测量和Smap检索之间所需的连接。原位测量用于验证在1公里分辨率下获得的PALS土壤水分。基于研究区域中的雨量仪网络的信息,原位土壤湿度测量没有准确地捕获所有降水事件。也就是说,PALS和SMAP土壤水分估计估计是雨量仪检测到的降水事件,这在某些情况下未被原位土壤湿度传感器检测到。它还得出结论,土壤水分的空间分布由该地区典型对流风暴的相对较小的空间间隔率没有用原位站完全捕获。去除这些病例后(约10%的观察结果)获得了以下度量:RMSD(均方格平方差)为0.016μm(3)/ m(3)和0.83的相关性。在36公里的比例下,也将PALS土壤水分与Smap和原位土壤水分进行比较,这是标准产品的微量栅格尺寸。由于亮度温度测量的近距离匹配和使用普通土壤水分检索算法,因此发现PALS和SMAP土壤水分非常相似。使用高分辨率PALS污染物和强化地面采样识别的空间异质性也有助于污染估计之间的差异。通常,L频带污染估计和5厘米深度之间发现的差异是原位测量的方法需要方法,以减轻对粪便验证和算法开发中对其解释的影响。具体而言,对浪潮的Smap辐射计的土壤水分产品计算的指标将包括降雨导致的误差,特别是在季风季节期间,当土壤水分的空间分布尤其是异质时。 (c)2017年Elsevier Inc.保留所有权利。

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