Title:
REGIONAL DEEP SOIL MOISTURE ESTIMATION MODEL ESTABLISHING METHOD, AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2024/007141
Kind Code:
A1
Abstract:
A regional deep soil moisture estimation model establishing method, and a system. The method comprises: acquiring a temperature vegetation index of a target land area by means of using remote sensing (S1); performing soil moisture inversion according to the temperature vegetation index to obtain shallow soil moisture of the target land area (S2); according to a correlation between the shallow soil moisture and regional deep soil moisture, constructing a regional deep soil moisture empirical model (S3); and according to the regional deep soil moisture empirical model, obtaining a regional deep soil moisture estimation model (S4). In the method, the regional deep soil moisture empirical model is constructed according to the correlation between the shallow soil moisture and the regional deep soil moisture, and on the basis of this, the regional deep soil moisture estimation model is obtained, so that soil moisture is accurately estimated, avoiding the phenomenon of crop withering, and having important guiding significance for agricultural production.
Inventors:
MA CHUNYA (CN)
FAN YONGSHEN (CN)
HUANG XIUQIAO (CN)
WANG JINGLEI (CN)
DUAN FUYI (CN)
CHEN ZHEN (CN)
LI PENG (CN)
CAO HUA (CN)
CAO YINBO (CN)
FAN YONGSHEN (CN)
HUANG XIUQIAO (CN)
WANG JINGLEI (CN)
DUAN FUYI (CN)
CHEN ZHEN (CN)
LI PENG (CN)
CAO HUA (CN)
CAO YINBO (CN)
Application Number:
PCT/CN2022/103797
Publication Date:
January 11, 2024
Filing Date:
July 05, 2022
Export Citation:
Assignee:
INST OF FARMLAND IRRIGATION OF CAAS (CN)
International Classes:
G06F17/00; G01N33/24
Foreign References:
| CN110689173A | 2020-01-14 | |||
| CN109142674A | 2019-01-04 | |||
| CN104123444A | 2014-10-29 | |||
| CN102726273A | 2012-10-17 | |||
| CN102034027A | 2011-04-27 | |||
| AU2021105982A4 | 2021-10-28 |
Other References:
MA, CHUNYA: "Research of Soil Moisture Status of Winter Wheat in People's Victory Canal Irrigation Area Based on Remote Sensing And Model Coupling", AGRICULTURAL SCIENCES, CHINA DOCTORAL DISSERTATIONS FULL-TEXT DATABASE, no. 12, 15 December 2018 (2018-12-15), ISSN: 1674-022X
Attorney, Agent or Firm:
BEIJING HESHINIP INTELLECTUAL PROPERTY OFFICE (CN)
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