The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 23, 2026
Filed:
May. 05, 2023
North China Institute of Aerospace Engineering, Langfang, CN;
Aerospace Informaiton Research Institute, Chinese Academy of Sciences, Beijing, CN;
Xuqing Li, Langfang, CN;
Yongtao Jin, Langfang, CN;
Xiaodan Wang, Langfang, CN;
Guohong Li, Langfang, CN;
Xingfa Gu, Langfang, CN;
Yuanping Liu, Langfang, CN;
Xia Zhu, Langfang, CN;
Qichao Zhao, Langfang, CN;
Yuyan Liu, Langfang, CN;
Xiufeng Yang, Langfang, CN;
Yancang Wang, Langfang, CN;
Tianjiao Liu, Langfang, CN;
Wenhao Zhang, Langfang, CN;
Chenyu Zhao, Langfang, CN;
North China Institute of Aerospace Engineering, Langfang, CN;
Abstract
The present invention discloses a CEEMDAN-based method for screening and monitoring soil moisture stress in farmland, characterised by the steps: preprocessing of remote sensing images, construction of NDVI long time series, CEEMDAN decomposition, calculation of statistical descriptors, screening of soil moisture stress sequences, ground data measurement, construction of soil moisture stress characteristic curves, fitting of soil moisture stress response characteristic curves and predicting the content of soil moisture stress. The invention adopts CEEMDAN decomposition, which solves the problems of noise residue and low reconstruction accuracy in the previous methods, and the high reconstruction accuracy of decomposed component data is more conducive to capturing the transient effects of soil moisture stress, and realizes the screening and extraction of soil moisture stress by combining with the ground measured data. The inverse model of soil moisture content is fitted by combining the effects of multiple indicators, and the CEEMDAN algorithm with remote sensing technology tools to achieve accurate monitoring of soil moisture in a large area of farmland.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile