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A split-window land surface temperature retrieval method based on radiance

A technology of surface temperature and radiance, applied in the field of MODIS surface temperature inversion, which can solve the problems of poor conversion accuracy and large conversion error.

Inactive Publication Date: 2019-09-20
三亚中科遥感研究所
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AI Technical Summary

Problems solved by technology

Under the conditions of large surface specific heat capacity and high atmospheric water vapor content, the difference between the surface temperature and the brightness temperature on the star is significant, and the conversion accuracy between radiance and brightness temperature based on the Taylor extension method is poor, and the conversion error is greater than 0.2 K

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  • A split-window land surface temperature retrieval method based on radiance
  • A split-window land surface temperature retrieval method based on radiance
  • A split-window land surface temperature retrieval method based on radiance

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Embodiment Construction

[0024] 1. Calculate the radiance on the star, the radiance on the star L 31 And L 32 It can be obtained from the image DN value by radiometric calibration;

[0025] 2. Calculate the surface emissivity, the surface emissivity ε 31 And ε 32 NDVI threshold method can be used [Sobrino,J.A.,Jiménez- JC, Sòria, G., Romaguera, M., Guanter, L., Moreno, J., Plaza, A., & Martínez, P. (2008). Land surface emissivity retrieval from different VNIR and TIRsensors. IEEE Transactions on Geoscience and Remote Sensing,46,316-327], or other methods [Li,Z.-L.,Wu,H.,Wang,N.,Qiu,S.,Sobrino,JA,Wan,Z.,Tang,B.-H .,&Yan,G.(2013b).Land surface emissivity retrieval from satellite data.InternationalJournal of Remote Sensing,34,3084-3127] calculated by;

[0026] 3. Calculate the atmospheric water vapor content. The atmospheric water vapor content w can be retrieved from the near-infrared data by the ratio method [A new approach for retrieval precipitable water from ATSR2split-window channel data over landarea....

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Abstract

The land surface temperature is an important parameter of the physical process of interaction between the earth and the atmosphere and is widely applied to the research of hydrology, meteorology, global carbon balance and global change. The relationship between the radiation brightness of two thermal infrared channels is directly established to replace the simplified Planck function for solving a radiation transmission equation set, an atmospheric parameter (the specific value of atmospheric downward radiation to atmospheric upward radiation) is also introduced to enhance the accuracy of the simplified radiation transmission equation, a split window algorithm based on the radiation brightness (RBSWA) is put forward and the algorithm is applied to MODIS data land surface temperature retrieval. Compared with the conventional split window algorithm based on the brightness temperature, the land surface temperature retrieval accuracy of the RBSWA is enhanced for about 0.5K. The principle of the method is also suitable for other thermal infrared remote sensing data.

Description

Technical field [0001] The invention relates to a MODIS surface temperature inversion method, which can be applied to remote sensing departments such as agriculture, forestry, meteorology, ecological environment, national defense and military. Background technique [0002] The split-window algorithm, also known as the dual-channel algorithm, is currently the most general thermal infrared remote sensing land surface temperature inversion method. The split-window algorithm uses the difference in atmospheric absorption between two thermal infrared channels to correct the atmospheric influence and calculate the true surface temperature. The current split window algorithm is to establish a model between the surface temperature and the brightness temperature of the two thermal infrared channels, which can be collectively called the split window algorithm based on brightness temperature. In order to establish a model between the surface temperature and the brightness temperature of the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J5/00
Inventor 王猛猛何国金张兆明王桂周龙腾飞尹然宇
Owner 三亚中科遥感研究所