Moisture stress state monitoring method, device and electronic equipment

Abstract

The embodiment of the invention provides a moisture stress state monitoring method, a device and electronic equipment; the method comprises the following steps: obtaining satellite remote sensing dataand actual measurement data of a target area, and obtaining earth surface characteristic parameters and a moisture stress factor according to the satellite remote sensing data; obtaining evapotranspiration data according to the earth surface characteristic parameters and the moisture stress factor; calculating the evapotranspiration data so as to obtain the moisture stress index; building moisture stress grade rating standards based on the moisture stress index according to drought severity rating standards of a preset drought index; obtaining an actual measurement drought index according tothe actual measurement data, and obtaining the actual measurement moisture stress grade according to the actual measurement drought index; determining whether the actual measurement moisture stress grade is consistent with the built moisture stress grade or not; if not, correcting the built moisture stress grade rating standards. The monitoring method can obtain the moisture stress grade through the actual measurement data, thus verifying the built moisture stress grade rating standards, and improving the moisture stress state identification accuracy.

Description

Technical field [0001] The present invention relates to the field of remote sensing technology, in particular to a method, device and electronic equipment for monitoring water stress state. Background technique [0002] Soil moisture is closely related to crop growth. When the crop's water loss exceeds the water absorption, it will cause the water content of the crop tissue to decrease and the turgor pressure, so that the normal metabolism will be out of balance, that is, the state of water stress will appear. In recent years, a large number of researches have been carried out on key technologies related to the monitoring of ecosystem water stress status through remote sensing data. However, there is no complete monitoring and verification system for the classification of water stress status obtained from remote sensing data, and the accuracy of monitoring and classification of water stress status is not high. It is difficult to provide models, data and analysis support for relat...

AI Technical Summary

Problems solved by technology

However, there is a lack of a complete monitoring and verification system for the classification of water stress status obtained from remote sensing data. The accuracy of monitoring and classification of water stress status is not high, and it is difficult to provide models, data and analysis support for relevant scientific research.

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