Land coverage change algorithm and system based on time-space analysis

Abstract

The invention discloses a land coverage change algorithm based on time-space analysis. The method comprises the following steps: S1, performing remote sensing data preprocessing; S2, performing NDVI distribution map calculation; S3, performing regression simulation on NDVI values in different land coverage type scopes; S4, performing threshold determining and land coverage type distribution map extraction; and S5, performing land coverage type change statistics. According to the invention, by taking remote sensing images of different time phases and land data (such as second national land data employed by the embodiments of the invention) of field investigation as a basis, image preprocessing is performed on the remote sensing images, and plantation normalization exponents of the different time phases are obtained. Model analyzing is performed on NDVI data of the different time phases and corresponding land field investigation data, an NDVI threshold scope corresponding to each type of land is determined, a quite clear land use type graph is obtained, and changing land coverage change data statistics is carried out.

Description

technical field [0001] The invention relates to the technical field of spatial analysis, in particular to a land cover change algorithm and system based on temporal and spatial analysis. Background technique [0002] Change detection mainly refers to observing the state of objects and phenomena in different periods, quantitative statistical analysis, and determining the characteristics and process of object changes. It involves the type of change, the amount of change, and determining the boundaries and trends before and after the change. Land cover change mainly refers to the state quantity of land cover type area and spatial distribution in different periods, the change type and change amount between land cover types in different periods, etc. [0003] In recent years, scholars at home and abroad have conducted research on land cover dynamic changes based on satellite remote sensing data. At present, the widely used methods mainly include difference comparison method bas...

AI Technical Summary

Problems solved by technology

[0004] The constant changes in conditions such as the sun's altitude angle, atmospheric radiation, and satellite sensor receiving angle have caused the remote sensing in the same area to be greatly affected by the above conditions in different periods.

The results of land cover change detection algorithms using remote sensing images of different time periods will also be affected

Although many scholars use different algorithms to correct remote sensing images, due to the lack of statistical support for field data analysis, land cover type changes and field differences still exist.

For example, Chinese patent CN 103049916 A discloses a land cover detection method based on spectral slope difference. This method judges whether the land cover has changed by comparing the intensity difference of the spectral slope, and solves the problem that it is difficult to control the endogenous The problem of the influence of noise

But universality is still not ideal

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