Earth surface temperature angle normalization method based on component temperature

Abstract

The invention discloses a component temperature-based earth surface temperature angle normalization method. The method comprises the following steps of describing component temperatures of vegetationand soil by utilizing a temperature daily change model; constructing a mixed pixel surface temperature model by combining a directional surface temperature product and a directional preparation indexproduct; solving the mixed pixel surface temperature model by utilizing a Bayesian optimization algorithm, obtaining an optimal neighborhood size based on an akaike information criterion, and obtaining component temperatures of vegetation and soil; and obtaining vegetation coverage in the reference direction by using a bidirectional reflection distribution function, and substituting the componenttemperature and the vegetation coverage into the mixed pixel surface temperature model to obtain surface temperature in the reference direction, thereby completing angle normalization. The temperatureis started from the physical mechanism of the surface temperature, the previous research based on illumination and shadow component difference is converted into the research based on vegetation and soil component difference, and high-precision angle normalization is carried out on the surface temperature based on the component temperature.

Description

technical field [0001] The invention belongs to the technical field of thermal infrared remote sensing surface temperature angle normalization, and more specifically relates to a method for normalizing surface temperature angles based on component temperatures. Background technique [0002] Surface temperature is a key parameter in the process of land surface systems on regional and global scales, and is widely used in many fields such as surface energy balance, climate change, resource and environment monitoring, and urban heat island research. However, a large number of observational experiments have proved that the surface temperature has significant directional anisotropy, that is, the observed value of the surface temperature will change with the change of the observation angle, which reduces the comparability between the surface temperature products and greatly limits the temperature application. Therefore, it is an urgent and meaningful work to study the angle normal...

AI Technical Summary

Problems solved by technology

However, unlike the reflection of visible light / near-infrared, thermal infrared radiation reflects that the surface temperature is a record of time, and there is a lag

Therefore, the existing thermal radiation directionality model cannot accurately calculate the proportion of light and shadow components, and cannot accurately normalize the angle of the surface temperature.

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