基于质量控制的CYGNSS土壤水分估算

IF 4 3区地球科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Geoscience and Remote Sensing Letters Pub Date : 2022-01-01 DOI:10.1109/lgrs.2021.3119850

F. Tang, Songhua Yan

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引用次数: 1

摘要

本文提出了一种基于气旋全球导航卫星系统(CYGNSS)的土壤湿度估算方法，通过辅助数据的选择和四步质量控制来提高土壤湿度估算的精度。我们研究了海拔和植被对多普勒延迟图(DDM)质量的影响，并对不同地形的多普勒延迟图(DDM)质量进行了评价。程序采用支持向量机(SVM)算法，输入CYGNSS，辅助数据。以武汉宝榭站点2020年1 - 8月逐时SM数据为例，验证了质量控制的有效性。与质量控制前的~0.03相比，CYGNSS反射率与原位SM之间的平均相关系数显著提高~0.46，从而使SM估计精度优于原位测量(从$R = 0.67$到0.87 $)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

CYGNSS Soil Moisture Estimations Based on Quality Control

In this letter, we proposed a method based on cyclone global navigation satellite system (CYGNSS) for improving the accuracy of soil moisture (SM) estimation through the selection of auxiliary data and a four-step quality control. We investigate the impact of elevation and vegetation, as well as evaluating the quality of Doppler delay map (DDM) and different ground terrains. The program adopts the support vector machine (SVM) algorithm, input CYGNSS, and auxiliary data. With the hourly SM data on Wuhan Baoxie site from January 2020 to August 2020 as an example, the effectiveness of quality control was verified. A substantial improvement in correlation coefficient of ~0.46 for average between CYGNSS reflectivity and in situ SM was obtained compared with ~0.03 before quality control, resulting in better SM estimation accuracy compared with that of in situ measurements (from

$R = 0.67$

to 0.87).

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来源期刊

IEEE Geoscience and Remote Sensing Letters 工程技术-地球化学与地球物理

CiteScore

7.60

自引率

12.50%

发文量

1113

审稿时长

3.4 months

期刊介绍： IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts. Papers should relate to the theory, concepts and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information. The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of "extended objects" or "multimedia" such as animations to enhance the shorter papers.