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Split window land surface temperature retrieval method based on radiation brightness

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

Inactive Publication Date: 2017-11-24
三亚中科遥感研究所
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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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  • Split window land surface temperature retrieval method based on radiation brightness
  • Split window land surface temperature retrieval method based on radiation brightness
  • Split window land surface temperature retrieval method based on radiation brightness

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Embodiment Construction

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

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

[0026] 3. Calculate the atmospheric water vapor content. The atmospheric water vapor content w can be retrieved from near-infrared data using the ratio method [A new approach for retrieving pregnant water from ATSR2split...

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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 affairs. Background technique [0002] The split-window algorithm, also known as the dual-channel algorithm, is currently the most common method for inversion of land surface temperature in thermal infrared remote sensing. The window-splitting algorithm uses the difference in atmospheric absorption of the two thermal infrared channels to correct the atmospheric influence and solve the true surface temperature. The current splitting algorithm is to establish a model between the surface temperature and the brightness temperature of two thermal infrared channels, which can be collectively referred to as the splitting algorithm based on brightness temperature. In order to establish a model between the surface temperature and the brightness...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/00
CPCG01J5/00
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
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