Multi-load remote sensing image-based rice yield estimation method for cloudy and rainy regions

Abstract

The invention discloses a multi-load remote sensing image-based rice yield estimation method for cloudy and rainy areas, and belongs to the field of remote sensing image agricultural application. The method includes: using an optical remote sensing satellite and a synthetic aperture radar remote sensing satellite to monitor a certain rice planting area; then, extracting a rice planting area of a working area by utilizing a GIS technology, and storing related information in an attribute table; then distinguishing the rice planting time; then calculating a radar backscattering coefficient Mean RSC corresponding to each field parcel; correcting a rice field area value influenced by the strong reflection point; carrying out manual sampling and yield measurement on the field to obtain the measured acre yield of the rice in the field; establishing a rice yield estimation model; and finally, calculating the estimated yield of the field according to the yield estimation model and the time-phase radar backscattering coefficient. The practical application problem of rice yield estimation in cloudy and rainy areas is solved.

Description

technical field [0001] The invention relates to the agricultural application field of remote sensing images, in particular to a rice production estimation method based on multi-load remote sensing images for cloudy and rainy areas. Background technique [0002] Rice occupies an important position in my country's grain production and is one of the important grain crops in my country. The planting area accounts for about 25% of the total grain sown area in the country, and its output reaches 32% of the total grain output in the country. The rice planting area and yield forecast is one of the important agricultural information, which is of great significance to the early warning of national food security and macroeconomic decision-making of grain. [0003] The traditional rice yield estimation adopts the method of manual regional survey, combined with agronomy, meteorology, and statistics, to establish crop yield estimation models from different angles. This method is slow, hea...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a rice paddy plant based on multi-load remote sensing images for cloudy and rainy areas, aiming at the problem that current single optical remote sensing data or SAR production estimation cannot meet the high-precision requirements of certain industries or agricultural applications. The method of production estimation solves the above problems

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