Winter wheat planting proportion calculation method and winter wheat planting proportion calculation device

Abstract

The invention provides a winter wheat planting proportion calculation method and a winter wheat planting proportion calculation device. The winter wheat planting proportion calculation method comprises steps that according to reflectivity of a near infrared band and reflectivity of a red light band, normalization vegetation indexes of various time phases in a study area are acquired; the normalization vegetation indexes of the various time phases are superposed together to acquire a corresponding normalization vegetation index set, and the normalization vegetation index set of the pure winter wheat and the normalization vegetation index set corresponding to the non-winter wheat of the normalization vegetation index set are extracted; according to the normalization vegetation index set of the pure winter wheat, the time sequence curve of the pure winter wheat is acquired, and according to the normalization vegetation index set corresponding to the non-winter wheat, the time sequence curve corresponding to the non-winter wheat is acquired; according to the time sequence curve of the pure winter wheat and the time sequence curve of the non-winter wheat, the winter wheat planting proportion in the study area is calculated. By using the vegetation indexes, the winter wheat planting proportion is acquired simply, effectively, and accurately.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to a method and device for calculating the planting ratio of winter wheat. Background technique [0002] The accurate spatial distribution information of crops is an important basis for ensuring food security, and it is very important for the adjustment of agricultural industrial structure and the estimation of grain output. As one of the most important food crops in the world, the harvested area of ​​winter wheat accounts for 30% of the global food crop area, and its output accounts for 26% of the global food production. Therefore, it is of great significance to develop a method for quickly and accurately monitoring the planting ratio of winter wheat. [0003] At present, a lot of work has been carried out on winter wheat area mapping. Early studies transformed statistical data based on administrative units (provinces, cities, counties, etc.) into spatial info...

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Problems solved by technology

[0004] However, these methods are mostly based on high-resolution remote sensing images, and are highly dependent on the quantity, quality and spectral characteristics of training samples, which greatly affects the universality of the method.

In addition, due to the limitation of the spatial resolution of the sensor and the current situation of highly fragmented cultivated land in my country, a pixel often contains several different types of ground objects, resulting in the generation of a large number of mixed pixels

However, these existing methods do not consider the problem of mixed pixels, and the identification error of intercropping between winter wheat and other crops is relatively large, which reduces the estimation accuracy of crop area

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