An automatic detection method for plantation time of plantation based on time-series remote sensing observation data

Abstract

The invention discloses a method for automatic detection of plantation time of plantation based on time-series remote sensing observation data, including 1) remote sensing image acquisition; 2) image preprocessing; 3) plantation range extraction of plantation; 4) plantation time information extraction of plantation. Based on the change characteristics of vegetation index when planting plantations, the present invention establishes a method for planting time of plantation that comprehensively considers the characteristics of spectral changes of vegetation and detects plantation time through time series data processing and subspace change, and improves the scientificity and reliability of planting time detection of plantation. This method combines operations such as smoothing and condition setting to reduce the influence of outliers and external factors, and improve the robustness of the algorithm against interference.

Description

technical field [0001] The invention belongs to the field of remote sensing data detection, and in particular relates to an automatic detection method for artificial forest planting time based on time-series remote sensing observation data. Background technique [0002] Artificial forests refer to forests cultivated by methods and technical measures such as artificial sowing, planting or cuttings. Usually, the seedlings of cultivated tree species are used for transplantation. , planting artificial forests is of great significance in controlling soil erosion, combating desertification, and a virtuous cycle of timber harvesting. In the study of the impact of vegetation on the environment in the plantation area, it is necessary to examine the changes in the surrounding environment before and after the growth of the vegetation. Therefore, accurate temporal and spatial distribution information of plantation is the basis for the multi-dimensional expression of plantation, and it i...

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Problems solved by technology

Its disadvantages are: ①It is only suitable for the judgment of the planting time of economic forests, not for all types of plantation forests; ②The judgment method needs prior data of felling interval; ③The interval of felling in small areas may be different, which is not scientific

[0005] Or obtain the spatial distribution of the plantation through a classification algorithm, and use the existing forest disturbance algorithm to detect the mutation point of the time-series vegetation index to detect the mutation time of the time-series vegetation index in the plantation area; the disadvantages are: ① It is necessary to design a series of algorithms The control parameters and filtering process are used to prevent over-fitting. At the same time, it is necessary to adjust the parameters of vegetation growth in different areas, which is less robust; ②The forest disturbance algorithm detects all disturbance points, not simply for artificial Therefore, an automatic detection method of plantation time based on time-series remote sensing observation data is needed

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