Dynamic monitoring method and system for bamboo growth conditions based on satellite hyperspectral remote sensing

Abstract

The application discloses a bamboo growth condition dynamic monitoring method and system based on satellite hyperspectral remote sensing, relates to the field of image understanding, and comprises the following steps: acquiring a satellite hyperspectral image sequence for calibration and correction to obtain a ground reflectivity image sequence; performing spectral analysis on bamboo vegetation based on the ground reflectivity image sequence to extract a plurality of spectral characteristics, and constructing a bamboo spectral index set according to the plurality of spectral characteristics; dynamically unmixing the ground reflectivity image sequence according to the bamboo spectral index set to generate a bamboo abundance distribution map and determine a bamboo growth area; and performing spatio-temporal fusion inversion based on the bamboo growth area to construct a bamboo growth spatio-temporal continuous distribution map to monitor the bamboo growth condition. The application solves the problems of low monitoring efficiency, insufficient accuracy and difficulty in realizing large-scale dynamic and accurate supervision of existing bamboo growth monitoring, improves the monitoring efficiency and accuracy, and realizes the effect of large-scale dynamic and accurate supervision of the bamboo resource growth condition.

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