Quick drought index monitoring method based on land surface temperature and vegetation index feature space

Abstract

The invention discloses a quick drought index monitoring method based on a land surface temperature and vegetation index feature space. The method specifically comprises the following steps: remotely sensing land surface temperature and vegetation index of a monitored area by utilizing a satellite; taking prior information as a determination condition, and preprocessing the data of the satellite; constructing a feature space based on the preprocessed land surface temperature and normalized vegetation index satellite data; fitting out wet sides and dry sides of the feature space by the feature space; obtaining the intercept of the wet sides and the dry sides, the slopes of the wet sides and the dry sides and the like by the wet sides and the dry sides of the feature space; obtaining a temperature vegetation drought index according to each feature space parameter, the land surface temperature and the normalized vegetation index satellite data; obtaining the water content of land surface soil according to the temperature vegetation drought index, and finally performing drought monitoring. According to the method, the problems that the dry sides and the wet sides in the conventional feature space method are instable, variable difference is magnified excessively, and even an error phenomenon that the numerical values of the obtained parameters exceed the due physical meaning range of the parameters appears are solved.

Description

technical field [0001] The invention relates to the field of drought inversion of satellite remote sensing data, in particular to a rapid monitoring method for drought index based on surface temperature and vegetation index feature space. Background technique [0002] Drought has caused huge losses to human society, especially agricultural production. Among the losses caused by various natural disasters in China, drought ranks first. According to statistics, nearly 60% of China's agricultural natural disasters are caused by drought. Therefore, the study of drought monitoring is of great significance for understanding the degree and distribution of drought, taking effective measures for drought prevention and drought relief, and scientifically guiding agricultural production. [0003] However, the traditional drought monitoring method is mainly based on the determination of soil moisture content based on limited drought measurement stations for drought monitoring. The samp...

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Problems solved by technology

[0006] In view of the problems existing in the prior art, the purpose of the present invention is to provide a method for quickly determining the drought index based on the feature space of surface temperature and vegetation index, which solves the problem of unstable dry and wet edges in the previous feature space method, and excessively magnifies the difference in variables. Even the value of the obtained parameter exceeds the value range of the parameter's physical meaning.

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