Surface temperature inversion method based on intermediate infrared and thermal infrared data

Abstract

The invention discloses a surface temperature inversion method based on intermediate infrared and thermal infrared data. The method comprises the steps that 1) the cloud top brightness temperatures ofintermediate infrared and thermal infrared channels under different atmosphere, surface and observation angle combination conditions are simulated, thereby generating a simulated data set; 2) according to the atmospheric column water vapor content, the cloud top brightness temperatures and the observation angles, simulated data in the simulated data set is divided into a plurality of sub-intervals; 3) surface temperature inversion algorithms of daytime data and night data are built in combination with a split window algorithm principle; and 4) a to-be-processed actual remote sensing image iscalculated by utilizing the surface temperature inversion algorithms of the daytime data and the night data, corresponding surface temperature inversion algorithm coefficients are selected according to the sub-intervals corresponding to the water vapor content, the cloud top brightness temperatures and the observation angles of all the pixels of the actual remote sensing image, then the surface emissivity of the actual remote sensing image is obtained in combination with a surface classification product, and a surface temperature inversion result is obtained. According to the method, the high-precision surface temperature can be obtained.

Description

technical field [0001] The invention belongs to the technical field of quantitative remote sensing inversion, in particular to a method for inverting land surface temperature based on Sentinel-3A day and night mid-infrared and thermal infrared data. Background technique [0002] Land surface temperature (LST) is a key parameter in the process of interaction between the ground and the atmosphere. It is widely used in many fields such as agriculture, meteorology, environment, and ecology. Model studies on global water cycle and climate change are of great significance. Due to the complex temporal and spatial distribution of surface temperature, conventional ground observations are difficult to obtain large-scale surface temperature in practice, so satellite remote sensing data has become the only way to obtain global-scale surface temperature with high temporal and spatial resolution. [0003] Existing retrieval methods for land surface temperature mainly use thermal infrared...

AI Technical Summary

Problems solved by technology

Compared with thermal infrared data, mid-infrared data can also record surface thermal radiation information and have the conditions for surface temperature inversion. However, for daytime observation data, the radiation energy of mid-infrared channel is affected by both solar radiation and surface radiation, and The two are strongly coupled together, and it is difficult to separate them. To invert the surface temperature, the influence of solar radiation must be eliminated, which increases the difficulty and challenge of the inversion.

However, mid-infrared data has the advantage of high atmospheric transmittance and low sensitivity to emissivity

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