Evaluation of assimilated SMOS Soil Moisture data for US cropland Soil Moisture monitoring

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-11-03 DOI:10.1109/IGARSS.2016.7730366

Zhengwei Yang, R. Shrestha, W. Crow, John T. Bolten, Iva Mladenova, Genong Yu, L. Di

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引用次数: 7

Abstract

Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil surface moisture monitoring. The assimilated SMOS soil moisture data are first categorized to match with the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) survey-based weekly soil moisture observation data, which are ordinal. The categorized assimilated SMOS soil moisture data are compared with NASS's survey-based weekly soil moisture data for consistency and robustness using visual assessment and rank correlation. Preliminary results indicate that the assimilated SMOS soil moisture data highly co-vary with NASS field observations across a large geographic area. Therefore, SMOS data have great potential for US operational cropland soil moisture monitoring.

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同化SMOS土壤水分数据对美国农田土壤水分监测的评价

遥感土壤水分数据可以提供及时、客观、定量的作物土壤水分信息，具有广泛的地理空间覆盖范围和在整个生长季节收集的足够高分辨率的观测数据。本文评价了利用同化的欧空局土壤水分海洋盐度(SMOS)任务l波段无源微波数据进行美国农田土壤表面水分监测的可行性。同化后的SMOS土壤水分数据首先与美国农业部(USDA)国家农业统计局(NASS)基于调查的每周土壤水分观测数据进行分类，这些数据是有序的。分类同化SMOS土壤湿度数据与NASS基于调查的每周土壤湿度数据进行了一致性和稳健性比较，使用视觉评估和等级相关。初步结果表明，同化SMOS土壤水分数据与NASS野外观测数据在较大地理区域内存在高度共变。因此，SMOS数据在美国农田土壤水分监测中具有很大的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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