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:
Apr. 12, 2022
Filed:
Apr. 30, 2020
Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, CN;
Xiaoyong Bai, Guiyang, CN;
Shijie Wang, Guiyang, CN;
Luhua Wu, Guiyang, CN;
Fei Chen, Guiyang, CN;
Miao Zhou, Guiyang, CN;
Yichao Tian, Guiyang, CN;
Guangjie Luo, Guiyang, CN;
Qin Li, Guiyang, CN;
Jinfeng Wang, Guiyang, CN;
Yuanhuan Xie, Guiyang, CN;
Yujie Yang, Guiyang, CN;
Chaojun Li, Guiyang, CN;
Yuanhong Deng, Guiyang, CN;
Zeyin Hu, Guiyang, CN;
Shiqi Tian, Guiyang, CN;
Qian Lu, Guiyang, CN;
Chen Ran, Guiyang, CN;
Min Liu, Guiyang, CN;
INSTITUTE OF GEOCHEMISTRY, CHINESE ACADEMY OF SCIENCES, Guiyang, CN;
Abstract
The present invention relates to a method for determining a surface runoff yield in a vegetation-covered area. The present invention improves and integrates a water conservation model with a Zhang's model based on remote sensing data. The present invention constructs a new method for calculating a surface runoff yield in a vegetation-covered area on a spatial pixel scale based on a water balance equation of the vegetation-covered area. This method utilizes real-time dynamic multi-temporal remote sensing data to calculate a vegetation canopy interception water storage, a vegetation litterfall interception water storage, a soil water storage change, a vegetation water conservation, a vegetation evapotranspiration and a vegetation runoff yield. The method realizes the long-term dynamic estimation of the surface runoff yield in regional and global vegetation-covered areas on a spatial pixel scale. It has the advantages of being efficient, fast, accurate, and applicable to large-scale vegetation-covered areas.