A time expansion method for thermal radiation directivity intensity of an urban building scene

Abstract

The invention provides a time expansion method for thermal radiation directivity intensity of an urban building scene. The time expansion method comprises the steps of dividing the components of the urban building scene into a roof, an illumination ground, a shadow ground and wall bodies with different orientations; inputting a building scene geometric structure and a solar sensor angle; calculating a component proportion in a field of view according to the building scene geometric structure and the solar sensor angle; defining a wall temperature Tw; calculating the average brightness temperature of the wall body in the field of view; defining the illumination ground brightness temperature in the view field as Tig, defining the shadow ground brightness temperature as Tsg, and defining theroof brightness temperature as Troff; calculating the brightness temperature in the inclined direction; calculating the zenith direction brightness temperature; calculating the intensity of heterogeneity in the brightness temperature direction; realizing the Parameterization of model coefficients; and calculating the intensity of heterogeneity in the brightness temperature direction at any moment.According to the method, the accurate simulation of the brightness temperature directivity intensity along with time change is realized. The model considers the specific attribute of a building scene, is suitable for remote sensing inversion, and can be applied to angle correction of temperature observation data in different time directions.

Description

technical field [0001] The invention relates to a time-expanding method for the directional intensity of heat radiation in urban building scenes. Background technique [0002] Remote sensing is an effective means of obtaining surface temperature over a large range. Obtaining urban surface thermal information by means of remote sensing surface temperature, and then revealing the spatial pattern, temporal evolution and driving mechanism of urban thermal environment, has become the main field of quantitative remote sensing. However, thermal infrared remote sensing can only obtain information from one or several angles, and cannot see the whole picture of the thermal radiation of the urban underlying surface in the entire 2π upper hemisphere space, and satellite thermal infrared remote sensing (except geostationary satellites) usually can only obtain a certain Or a few time-section information, it is difficult to obtain the continuous change of urban underlying surface surface ...

AI Technical Summary

Problems solved by technology

Although there have been various strategies that attempt to time-normalize surface temperature at different observation times within a day (Duan et al., 2014), these methods have not yet considered the angle effect

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