Method for estimating vegetation classification based on remote sensing actual evapotranspiration

The invention discloses a method for estimating vegetation classification based on remote sensing actual evapotranspiration. The method comprises the following steps: collecting hydrology, meteorology, terrain, underlying surface and remote sensing image data in a research basin; an SEBAL actual evapotranspiration estimation model is constructed; calculating actual evapotranspiration of the research drainage basin on a multi-dimensional time scale; generating random sample points, identifying land coverage types of the sample points by using a visual interpretation method, and editing a sample point attribute table; establishing a classification system and a feature input database; and constructing a classifier. According to the method, the evapotranspiration space-time differentiation characteristics of different vegetation types are considered, the influence of vegetation distribution on environmental factors, namely vegetation distribution difference information contained in evapotranspiration space differ