Forest land change detection method based on remote sensing images

Abstract

The invention discloses a forest land change detection method based on a remote sensing image. The method comprises the steps of acquiring front and rear time phase remote sensing images of a to-be-detected area; calculating BAI indexes, NDWI indexes and NDVI indexes of the front time phase remote sensing image and the rear time phase remote sensing image pixel by pixel; setting a BAI index demarcation point of the water body area and the non-water body area as a first threshold value, setting an NDWI index demarcation point of the water body area and the non-water body area as a second threshold value, and setting an NDVI index demarcation point of the vegetation area and the non-vegetation area as a third threshold value; wherein the pixels of which the BAI index is smaller than a firstthreshold value, the NDWI index is smaller than a second threshold value and the NDVI index is larger than a third threshold value are forest land areas, and the other pixels are non-forest land areas. The forest land change is detected by comparing the BAI index, the NDWI index and the NDVI index with the first threshold value, the second threshold value and the third threshold value respectively, the response speed is high, the cost is low, the change type can be reflected, and the applicability and the detection precision are improved.

Description

technical field [0001] The present application relates to the technical field of remote sensing, and in particular to a method for detecting forest land changes based on remote sensing images. Background technique [0002] Forest vegetation is of great significance to the conservation of water and soil in the ecological environment, the balance of atmospheric carbon dioxide, and the protection of biodiversity. However, with the increase of population, in order to obtain higher economic value, forests are mined and occupied, which changes the change of land cover. , leading directly to the loss of biodiversity and deterioration of the peripheral environment. Therefore, regular monitoring of forest surface changes is one of the feasible and effective methods to protect forest vegetation. [0003] The traditional methods of dynamic monitoring of forest resources include image algebraic change detection algorithm, which realizes change detection through operation of image diffe...

AI Technical Summary

Problems solved by technology

[0005] This application proposes a forest land change detection method based on remote sensing images, which is used to solve the problems of low versatility and slow response speed of existing detection methods

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