Multi-scale forest dynamic change monitoring method

Abstract

The present invention discloses a multi-scale forest dynamic change monitoring method. The method comprises carrying out remote sensing image geometric correction and rectification; acquiring a land cover type map with a 1KM resolution ratio by using MODIS time series NDVI data with a 1KM resolution ratio of different seasons within one year; generating a coarse scale land cover changing map by using multiple years of land cover type maps with a 1KM resolution ratio; establishing a coarse scale forest cover change masking file by using a coarse scale land cover changing type map; establishing forest cover characteristic indexes on TM images with a 30 m resolution ratio according to the coarse scale forest cover change masking file; and extracting forest dynamic change information combining the coarse scale land cover changing map and forest characteristic indexes of time series. According to the method provided by the present invention, by using time series remote sensing data with different spatial resolutions, coarse scale land cover to fine scale forest change step-by-step detailed forest dynamic monitoring can be realized in large-area regions, and both monitoring efficiency and monitoring accuracy can be raised.

Description

technical field [0001] The invention relates to a multi-scale forest dynamic change monitoring method, in particular to the technology of multi-scale time series remote sensing data in forest resource dynamic change monitoring, and belongs to the application field of remote sensing technology in forestry. Background technique [0002] Forest vegetation not only provides the most basic material and energy sources for human survival and development, but also plays an important role in maintaining ecological processes and ecological balance, especially in protecting fragile ecosystems, water areas and freshwater resources. effect. Forest natural renewal succession, forest disasters (fires, pests and diseases) and human activities will cause changes in forest vegetation, and the dynamics of forest vegetation directly affect the balance and health of terrestrial ecosystems. The research on the dynamic change of forest can keep abreast of the quantity and quality of forest resour...

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Problems solved by technology

[0007] (2) Only two periods of images are used, and the growth of vegetation itself has seasonal rules. The data of two single periods must be in the same growth season, which limits the application range of the algorithm.

[0008] (3) The image data of only two time points can only reflect the forest state information during this time period, and cannot reflect the dynamic changes of the forest over time

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