Paper
10 July 2024 Atmospheric correction for microwave remote sensing with considering clouds and precipitation profiles
Xuan Liu, Dabin Ji, Chao Chen, Rugang Tang
Author Affiliations +
Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132232O (2024) https://doi.org/10.1117/12.3035841
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China
Abstract
The microwave brightness temperature observed in areas covered by clouds and rain is strongly influenced by the atmosphere. In order to obtain accurate surface information, atmospheric correction is required. Most studies cannot achieve atmospheric correction for areas covered by rainfall. This article develops an atmospheric correction method based on the radiative transfer model. Through analyzing the impact of clouds and rain on microwave radiation transmission, it was found that clouds and rain are not sensitive to the low-frequency bands of 6.9 GHz, 7.3 GHz, and 10.7 GHz, while they have varying degrees of attenuation at 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz. Based on this, both cloud and rain information are added to the model for atmospheric correction. By comparing the results before and after atmospheric correction, it was found that this algorithm can achieve atmospheric correction in the 18.7GHz, 23.8GHz, 36.5GHz, and 89.0GHz bands. However, it is not suitable for areas with strong water vapor absorption in the 23.8GHz band and rainfall areas in the 89.0GHz band.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xuan Liu, Dabin Ji, Chao Chen, and Rugang Tang "Atmospheric correction for microwave remote sensing with considering clouds and precipitation profiles", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132232O (10 July 2024); https://doi.org/10.1117/12.3035841
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KEYWORDS
Rain

Clouds

Atmospheric corrections

Microwave radiation

Atmospheric modeling

Water

Liquids

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