A Method of Land Surface Temperature Retrieval Based on Mid-infrared and Thermal Infrared Data

Abstract

The invention discloses a ground surface temperature inversion method based on mid-infrared and thermal infrared data. The steps include: 1) simulating the cloud top brightness temperature of mid-infrared and thermal infrared channels under different combination conditions of atmosphere, surface and observation angles, and generating simulated Data set; 2) Divide the simulated data in the simulated data set into several sub-intervals according to the water vapor content of the atmospheric column, the cloud top brightness temperature and the observation angle; 3) Combining the principle of the split window algorithm to construct the surface temperature reflections of the daytime data and nighttime data respectively 4) Using the surface temperature inversion algorithm of daytime data and the surface temperature inversion algorithm of nighttime data to calculate the actual remote sensing image to be processed, according to the water vapor content of each pixel of the actual remote sensing image, cloud top brightness temperature and observation angle Select the corresponding surface temperature inversion algorithm coefficients for the corresponding sub-intervals, and then combine the surface classification products to obtain the surface emissivity of the actual remote sensing image, and obtain the surface temperature inversion results. The invention can acquire high-precision ground surface temperature.

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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