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Surface temperature estimation method based on atmospheric scale factor

A technology of surface temperature and scale factor, which is applied in the field of quantitative remote sensing, can solve the problems that the stability of inversion accuracy cannot be guaranteed, and achieve high inversion stability and universality, high application value, and guaranteed accuracy

Active Publication Date: 2020-04-10
中交信息技术国家工程实验室有限公司 +1
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Problems solved by technology

Obviously, the WVS algorithm will inevitably have the problem of error transmission, and the stability of the inversion accuracy cannot be guaranteed

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  • Surface temperature estimation method based on atmospheric scale factor
  • Surface temperature estimation method based on atmospheric scale factor
  • Surface temperature estimation method based on atmospheric scale factor

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Embodiment Construction

[0057] Aiming at the common technical problems in surface temperature inversion, the present invention proposes a dual (multi) channel constrained atmospheric correction and surface temperature estimation method based on atmospheric profile products from Planck's black body law and the radiation transfer equation itself , that is, to achieve high-precision atmospheric water vapor correction and preliminary estimation of surface temperature under various observation conditions through iterative correction. This algorithm does not rely on any empirical relationship, and has higher inversion stability and universality; this algorithm is applicable to extremely dry / humid atmospheric environments, and can guarantee accuracy under multiple observation angles; at the same time, the algorithm can also be used for artificial The inversion of surface emissivity is applicable to multiple types of sensors, which is significantly better than existing algorithms and has higher application va...

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Abstract

The invention provides a surface temperature estimation method based on an atmospheric scale factor, and the method comprises the steps: firstly achieving the function expression of dual-channel radiation energy and the expression of dual-channel surface temperature based on a Planck law and a radiation transmission equation, and obtaining a cost function for correcting an atmospheric profile error; acquiring satellite observation radiation data and an atmospheric profile product; obtaining the average surface emissivity of a target pixel from an existing emissivity product; and selecting a scale factor, substituting the scale factor into the cost function to carry out iterative correction on an atmospheric profile, and determining the scale correction of the atmospheric profile and the estimation result of the surface temperature by taking the surface temperature corresponding to a minimum value of the cost function as an approximate truth value. According to the method, atmospheric water vapor correction and surface temperature estimation under various observation conditions are realized through an iterative correction mode, the method does not depend on any empirical relationship, higher inversion stability and universality are achieved, and the method is not only suitable for extremely-dry and extremely-wet atmospheric environments, but also can ensure the precision under multiple observation angles.

Description

technical field [0001] The invention relates to the field of quantitative remote sensing, in particular to a method for estimating surface temperature based on atmospheric scale factors. Background technique [0002] In the field of thermal infrared remote sensing land surface temperature retrieval, the highly coupled nature of atmospheric correction and radiative transfer equations has always been a core problem that plagues researchers. In recent decades, based on different starting points, researchers have successively proposed many classic algorithms that are still in use today, such as split window algorithm, TES algorithm, spectral smoothing algorithm, day and night algorithm, NDVI algorithm, etc. However, there are more or less certain limitations in the existing algorithms. For example, the universal split-window algorithm (SW), which is widely used in multi-spectral thermal infrared surface temperature, does not need atmospheric profile information, so the inversio...

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Application Information

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IPC IPC(8): G06F17/11G06F17/15G01J5/00
CPCG06F17/11G06F17/15G01J5/0014Y02A90/10
Inventor 张雨泽王永明耿丹阳李召良苏航邓蕾孙云华赵鹏志孙士凯佘绍一
Owner 中交信息技术国家工程实验室有限公司
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