CN-121996875-A - Soil humidity remote sensing inversion method and system based on surface water balance constraint

CN121996875ACN 121996875 ACN121996875 ACN 121996875ACN-121996875-A

Abstract

The invention is suitable for the technical field of soil humidity remote sensing inversion, and provides a soil humidity remote sensing inversion method and system based on surface water balance constraint. The method comprises the steps of obtaining humidity detection data of a plurality of preset sample points, carrying out remote sensing monitoring to obtain remote sensing image data, constructing a humidity correlation function, calculating first soil humidity of a remote sensing inversion position based on the humidity detection data, carrying out thermal inertia analysis on the remote sensing image data, calculating second soil humidity of the remote sensing inversion position by combining the humidity correlation function, determining influence weight data based on earth surface water balance constraint, and calculating target soil humidity of the remote sensing inversion position. The method can calculate the first soil humidity based on the humidity detection data, calculate the second soil humidity based on the remote sensing image data, determine the influence weight data, calculate the target soil humidity of the remote sensing inversion position, does not need complex calculation processing procedures of multiple parameters and multiple models, and can obtain the relatively accurate target soil humidity.

Inventors

GENG QINGTIAN
LIU RENYUN
XING PENGFEI
LI DONGPING
LI QINGLIANG

Assignees

长春师范大学

Dates

Publication Date: 20260508
Application Date: 20260409

Claims (10)

1. The soil humidity remote sensing inversion method based on the surface water balance constraint is characterized by comprising the following steps of: Determining a plurality of preset sample points in a remote sensing inversion area, acquiring humidity detection data of the preset sample points, and performing remote sensing monitoring on the remote sensing inversion area to acquire remote sensing image data; Calculating sample point thermal inertia values of a plurality of preset sample points based on the remote sensing image data, and carrying out association analysis by combining the humidity detection data to construct a humidity association function; determining a remote sensing inversion position in a remote sensing inversion region, and calculating first soil humidity of the remote sensing inversion position based on the humidity detection data; Performing thermal inertia analysis on the remote sensing image data, and calculating second soil humidity of the remote sensing inversion position by combining the humidity correlation function; And determining influence weight data based on the earth surface water balance constraint, and calculating the target soil humidity of the remote sensing inversion position by combining the first soil humidity and the second soil humidity.
2. The earth surface water balance constraint-based soil humidity remote sensing inversion method according to claim 1, wherein the determining a plurality of preset sample points in a remote sensing inversion region, obtaining humidity detection data of the preset sample points, and performing remote sensing monitoring on the remote sensing inversion region, and obtaining remote sensing image data specifically comprises the following steps: acquiring sampling record data of a remote sensing inversion region; sample point identification is carried out on the sampling record data, and a plurality of preset sample points in the remote sensing inversion region are determined; extracting humidity detection data of a plurality of preset sample points from the sampling record data; And carrying out remote sensing monitoring on the remote sensing inversion region to obtain remote sensing image data.
3. The earth surface water balance constraint-based soil humidity remote sensing inversion method according to claim 1, wherein the calculating of the sample thermal inertia values of a plurality of preset samples based on the remote sensing image data and the correlation analysis by combining the humidity detection data specifically comprises the following steps: identifying the remote sensing image data, and determining the surface reflectivity of the sample points of a plurality of preset sample points; Determining an impact period; Acquiring sample point surface temperature data of a plurality of preset sample points in the influence period; calculating the thermal inertia values of the sampling points of a plurality of preset sampling points according to the surface temperature data of the sampling points and the surface reflectivity of the sampling points; and carrying out correlation analysis of thermal inertia and humidity by combining the humidity detection data and a plurality of sample point thermal inertia values, and constructing a humidity correlation function.
4. The soil moisture remote sensing inversion method based on the surface water balance constraint of claim 3, wherein the calculation formula of the sample thermal inertia values of the plurality of preset samples is as follows: ; Wherein, the Represents the first A plurality of preset sampling points; Is the first Sample point thermal inertia values of the preset sample points; Is the first Sample point surface reflectivity of a plurality of preset sample points; Is the first The highest temperature of the earth surface of a time period of each preset sample point; Is the first The time period surface of each preset sampling point has the lowest temperature.
5. The earth surface water balance constraint-based soil moisture remote sensing inversion method of claim 1, wherein determining a remote sensing inversion position in a remote sensing inversion region, and calculating a first soil moisture of the remote sensing inversion position based on the moisture detection data specifically comprises the steps of: Receiving a remote sensing inversion requirement; Positioning and identifying the remote sensing inversion requirement, and determining a remote sensing inversion position in the remote sensing inversion region; measuring the distance between the remote sensing inversion position and a plurality of preset sample points; And calculating the first soil humidity of the remote sensing inversion position based on the humidity detection data and the plurality of the separation distances.
6. The earth surface water balance constraint-based soil moisture remote sensing inversion method of claim 5, wherein the first soil moisture calculation formula is: ; Wherein, the The first soil humidity; represents the first A preset sampling point, in common A plurality of preset sampling points; Is the first Humidity detection values of the preset sampling points; for remote sensing inversion position and the first The distance between the preset sampling points; Is a preset calculation parameter.
7. The earth surface water balance constraint-based soil moisture remote sensing inversion method of claim 3, wherein said performing thermal inertia analysis on said remote sensing image data, and calculating a second soil moisture of said remote sensing inversion location in combination with said moisture correlation function, comprises the steps of: Identifying the remote sensing image data, and determining the position earth surface reflectivity of the remote sensing inversion position; Acquiring position earth surface temperature data of the remote sensing inversion position in the influence period; calculating the position thermal inertia value of the remote sensing inversion position according to the position surface temperature data and the position surface reflectivity; And calculating the second soil humidity of the remote sensing inversion position by combining the position thermal inertia value and the humidity correlation function.
8. The earth surface water balance constraint-based soil moisture remote sensing inversion method of claim 6, wherein determining the impact weight data based on the earth surface water balance constraint, and combining the first earth moisture and the second earth moisture, calculating the target earth moisture of the remote sensing inversion position specifically comprises the following steps: acquiring surface water correlation data of the remote sensing inversion region; performing influence analysis of surface water balance constraint on the surface water related data, and determining influence weight data; And calculating the target soil humidity of the remote sensing inversion position by combining the first soil humidity, the second soil humidity and the influence weight data.
9. The earth surface water balance constraint-based soil moisture remote sensing inversion method of claim 8, wherein the calculation formula of the target soil moisture is: ; ; Wherein, the Target soil humidity; the second soil humidity; 、 The first impact weight and the second impact weight, respectively.
10. Soil humidity remote sensing inversion system based on surface water balance constraint, characterized in that, the system includes sample point data acquisition module, humidity correlation analysis module, first humidity calculation module, second humidity calculation module and target humidity calculation module, wherein: the sample point data acquisition module is used for determining a plurality of preset sample points in the remote sensing inversion area, acquiring humidity detection data of the preset sample points, and carrying out remote sensing monitoring on the remote sensing inversion area to acquire remote sensing image data; The humidity correlation analysis module is used for calculating sample point thermal inertia values of a plurality of preset sample points based on the remote sensing image data, and carrying out correlation analysis by combining the humidity detection data to construct a humidity correlation function; the first humidity calculation module is used for determining a remote sensing inversion position in a remote sensing inversion region and calculating first soil humidity of the remote sensing inversion position based on the humidity detection data; the second humidity calculation module is used for carrying out thermal inertia analysis on the remote sensing image data and calculating the second soil humidity of the remote sensing inversion position by combining the humidity correlation function; and the target humidity calculation module is used for determining influence weight data based on the earth surface water balance constraint and calculating the target soil humidity of the remote sensing inversion position by combining the first soil humidity and the second soil humidity.

Description

Soil humidity remote sensing inversion method and system based on surface water balance constraint Technical Field The invention belongs to the technical field of soil humidity remote sensing inversion, and particularly relates to a soil humidity remote sensing inversion method and system based on surface water balance constraint. Background The soil humidity remote sensing inversion is a technology for quantitatively estimating the water content of earth surface soil by utilizing multi-source observation data acquired by remote sensing platforms such as satellites, aviation or unmanned aerial vehicles and the like, and generally comprises links such as remote sensing data preprocessing, characteristic parameter extraction, inversion model construction, inversion result verification and the like, wherein the inversion model can be based on radiation transmission theory, earth surface energy or water balance constraint, and can also adopt a data driving method such as machine learning and the like. The soil humidity remote sensing inversion provides key basic data support for agricultural drought monitoring, crop growth evaluation, water resource management, flood and drought early warning, climate change research and the like, and is an important technical means in modern earth observation and hydrologic ecological research. In the prior art, the soil humidity remote sensing inversion usually depends on complex calculation processing procedures of multiple parameters and multiple models, the whole implementation process is complicated, the calculation cost is high, theoretical humidity values are often obtained only, and certain access exists between the theoretical humidity values and actual soil surface humidity, so that data support can be provided for some application processes, but the data precision is limited, and the actual application requirements of higher precision are difficult to meet. Disclosure of Invention The embodiment of the invention aims to provide a soil humidity remote sensing inversion method and system based on surface water balance constraint, and aims to solve the technical problems in the prior art mentioned in the background art. The embodiment of the invention is realized as follows: soil humidity remote sensing inversion method based on surface water balance constraint specifically comprises the following steps: Determining a plurality of preset sample points in a remote sensing inversion area, acquiring humidity detection data of the preset sample points, and performing remote sensing monitoring on the remote sensing inversion area to acquire remote sensing image data; Calculating sample point thermal inertia values of a plurality of preset sample points based on the remote sensing image data, and carrying out association analysis by combining the humidity detection data to construct a humidity association function; determining a remote sensing inversion position in a remote sensing inversion region, and calculating first soil humidity of the remote sensing inversion position based on the humidity detection data; Performing thermal inertia analysis on the remote sensing image data, and calculating second soil humidity of the remote sensing inversion position by combining the humidity correlation function; And determining influence weight data based on the earth surface water balance constraint, and calculating the target soil humidity of the remote sensing inversion position by combining the first soil humidity and the second soil humidity. As a further limitation of the technical solution of the embodiment of the present invention, the determining a plurality of preset sample points in a remote sensing inversion area, obtaining humidity detection data of the plurality of preset sample points, and performing remote sensing monitoring on the remote sensing inversion area, where obtaining remote sensing image data specifically includes the following steps: acquiring sampling record data of a remote sensing inversion region; sample point identification is carried out on the sampling record data, and a plurality of preset sample points in the remote sensing inversion region are determined; extracting humidity detection data of a plurality of preset sample points from the sampling record data; And carrying out remote sensing monitoring on the remote sensing inversion region to obtain remote sensing image data. As a further limitation of the technical solution of the embodiment of the present invention, the calculating of the sample thermal inertia values of a plurality of preset samples based on the remote sensing image data, and the correlation analysis by combining the humidity detection data, the constructing of the humidity correlation function specifically includes the following steps: identifying the remote sensing image data, and determining the surface reflectivity of the sample points of a plurality of preset sample points; Determining an impact period; Acquiring sample p