Surface temperature inversion method for broadband thermal infrared sensor

Abstract

The invention discloses a surface temperature inversion method for a broadband thermal infrared sensor. The method mainly comprises the following steps: acquiring observation data through a broadbandthermal infrared sensor; dividing a broadband spectral response function into a plurality of narrow channels at a set fixed interval, and then establishing a formula between radiation energy and brightness temperature obtained by the broadband thermal infrared sensor according to the radiation energy obtained by each narrow channel; and finally obtaining the surface temperature through a formula established in the solving step. The inversion method provided by the invention has the beneficial effects that a plurality of equivalent wavelengths in the spectral response range of the sensor are substituted into a radiation transfer equation and a Planck blackbody radiation equation to solve the LST, so that the inversion precision of the LST is improved, and the implementation simplicity of LST inversion is ensured.

Description

technical field [0001] The invention belongs to the technical field of thermal infrared remote sensing, and in particular relates to a surface temperature retrieval method for wide-band thermal infrared sensors. Background technique [0002] Land surface temperature (LST) is an important parameter that characterizes the radiation characteristics of the land surface and the energy exchange between the land surface and the atmosphere. LST is widely used in climate, environment, agriculture and other research fields. Broadband thermal infrared sensors are often placed on the ground or at low altitudes to observe the brightness and temperature of the surface. Because it is less affected by the atmosphere, the LST obtained on the ground can verify the LST products of satellite remote sensing. The LST image with high spatial resolution and high temporal resolution in the target area can be obtained from the thermal imager data of low-altitude UAV or manned aircraft. Combining t...

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Problems solved by technology

This type of method is relatively simple to operate, but when it is applied to the observation data of a wide-band thermal infrared sensor, the accuracy of LST inversion is low

(2) Look-up table method: This method uses the radiative transfer model to substitute data such as various atmospheric profiles and surface emissivity to establish the correspondence between LST and the brightness temperature observed by the sensor. The problem with this method is that the implementation The process is complex and highly dependent on the spectral response characteristics of the sensor. The process of establishing a lookup table requires a lot of simulation calculations, and different lookup tables need to be established for different sensors.

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