Method for acquiring farmland multiple-cropping index

Abstract

The invention discloses a method for acquiring a farmland multiple-cropping index. According to the invention, the size of a slide window is defined according to a crop growth period; remote-sensed vegetation index time sequence data is inputted; when the slide window gradually moves forward along the remote-sensed vegetation index time sequence, a maximum value and a minimum value in the data inthe current slide window, and the positions of the maximum value and the minimum value in the current slide window are searched for; it is determined whether a data point is a latent peak point or a trough point in a crop growth season; false peak points and false trough points are rejected, such that final peak points and final trough points are obtained; and the farmland multiple-cropping indexis determined according to the appearance frequency of the peak points. With the technical scheme provided by the invention, without filtering, farmland multiple-cropping index acquiring can be directly carried out upon pre-treated remote-sensed vegetation index time sequence data. The method has a good noise resistance and a good peak number detection capacity. With the method, the amount of required parameters is small. The versatility of the method is good.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to a method for extracting multiple cropping indexes of cultivated land. Background technique [0002] The cropping index (Cropping Index, CI) refers to the number of crops planted on a piece of arable land in one year. The multi-cropping index is a basic index to measure the degree of intensive utilization of cultivated land resources in the study of farming systems, and it is also an important technical index for macro-evaluating the basic status of cultivated land resource utilization. There are two methods for extracting multiple cropping indices, one is based on statistical data, and the other is based on remote sensing. [0003] The extraction of multiple cropping index based on statistical data is a traditional method. According to the crop sown area and cultivated land area of ​​statistical data, the following formula is used to estimate the multiple cro...

AI Technical Summary

Problems solved by technology

The quadratic difference method is susceptible to the noise interference of the remote sensing vegetation index time series data, and it is easy to judge the local maximum value (the maximum value in the non-crop growing season) caused by the noise as the maximum value in the crop growing season, so that the Multiple cropping index is high

Due to the long time required for filtering and denoising, and the filtering process itself will mix in new noise, there will be a large error in the final calculation of the number of peaks

In addition, the existing peak method has weak anti-noise ability, many parameters to be corrected, high regional requirements, and weak versatility

Images