Improved water cloud model and paddy parameter inversion method adopting same

Abstract

The invention discloses an improved water cloud model and a paddy parameter inversion method adopting the model. The canopy heterogeneity and phenological change thereof are considered in the construction of a planting area scene by the water cloud model; the secondary scattering between the plant and the underlying surface is considered in the scattering mechanism analysis process; a quantitative relation between the main scattering mechanism and the plant parameter is established. The model framework is more reasonable and is more suitable for the practical process of the growth and development of the crops, including paddy. The improved water cloud model is applied to the paddy parameter inversion method. On the basis of polarized SAR data, the contributions of different scattering mechanisms and the correlation thereof with different paddy parameters are fully considered. A polarized SAR paddy parameter inversion method considering the canopy heterogeneity and phenological change thereof is developed. According to the method, the inversion accuracy is high, the error is small, the parameters in the early phenological periods of the growth and development of the paddy can be accurately inversed and the monitoring for the growth of the paddy and the estimation for the yield are more true, accurate and reliable.

Description

technical field [0001] The invention relates to the technical field of crop remote sensing monitoring, in particular to an improved water cloud model and a rice parameter inversion method using the model. Background technique [0002] Agriculture is a strategic industry that secures the world and stabilizes people's hearts, and it is also an important field for expanding domestic demand and adjusting structure. Food production is at the heart of agriculture. Rice is one of the three major food crops in the world. The planting area exceeds 11% of the world's total arable land and provides food sources for more than half of the world's population. China is a big rice producing country, and its annual output ranks first in the world. In 2012, my country's rice planting area was about 30.1371 million hectares, accounting for 27.10% of the total grain planting area, and rice production accounted for 34.64% of the total grain output, accounting for more than half of the country'...

AI Technical Summary

Problems solved by technology

The fourth is the method based on interferometry. This method has been developed with the development of interferometry technology in recent years. It has high requirements for SAR data orbit accuracy and revisit cycle. It is difficult to obtain SAR data that meets the requirements, so it is difficult to meet Business Application Requirements

However, this model ignores the secondary scattering between the rice and the underlying surface

For rice, especially in the early stage of growth and development (before heading stage), the rice layer is not uniform, but has great heterogeneity; and the radar beam can directly reach the underlying surface through the gap in the middle of the rice layer , so that the contribution of secondary scattering between the rice layer and the underlying surface is larger

In addition, the water cloud model only establishes the quantitative relationship between the total radar backscatter coefficient and rice parameters, and does not fully consider the contribution of different scattering mechanisms and their correlation with different rice parameters. The accuracy still needs to be further improved

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