Crop yield estimation method based on scale transformation and data assimilation

Abstract

The invention belongs to the field of agricultural remote sensing, and relates to a crop yield estimation method based on scale transformation and data assimilation and application of the crop yield estimation method to the guiding of crop production. The method comprises the following concrete steps that: 1, parameters are collected for completing spatialization of a WOFOST crop model; 2, a crop type distribution map and a purity percentage map of the crops to be tested are obtained; 3, TMLAI in a range of 30m is obtained; 4, a secondary scale conversion model is built, and a time sequence scale regulating LAI is generated; 5, the crop model error and the remote sensing observation error in a key phonological period of the crops to be tested are obtained; 6, a four-dimensional variation cost function is built, and an optimized crop model parameter is obtained; and 7, the per unit yield of the crops to be tested in a county region is output. The method provided by the invention has the advantages that the problem of scale mismatching between a remote sensing observation picture element and a crop model simulation unit is solved; the precision of a data assimilation model is improved; and the method is suitable for the crop yield estimation in the county region scale, and is particularly suitable for the winter wheat yield estimation in the county region scale.

Description

technical field [0001] The invention belongs to the field of agricultural remote sensing, and in particular relates to a crop yield estimation method based on scale conversion and data assimilation. Background technique [0002] Using data assimilation technology to integrate remote sensing inversion parameters into crop mechanism process models is an important way to improve the accuracy of regional crop growth simulation and crop yield estimation. On the field scale, crop growth models based on crop photosynthesis, respiration, transpiration, nutrition and other mechanistic processes rely on their inherent physical processes and dynamic mechanisms, which can accurately simulate the continuous evolution and single The growth and development status and yield of crops on the point scale. However, when the crop model is extended to the regional scale, due to the heterogeneity of the surface and near-surface environments, the uncertainty of the initial conditions, soil paramet...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the following problems in the existing technology: "How to construct the scale conversion method in the data assimilation model, assimilate the time series scale corrected LAI to the crop growth model, so as to reduce the scale mismatch between the remote sensing observation and the crop model. Data assimilation model error", the present invention provides a crop yield estimation method based on scale conversion and data assimilation

Images