IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2021)

Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network

  • Kang Pu,
  • Xichuan Liu,
  • Lei Liu,
  • Taichang Gao

DOI
https://doi.org/10.1109/JSTARS.2021.3073013
Journal volume & issue
Vol. 14
pp. 4330 – 4338

Abstract

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In this article, a water vapor density inversion model based on the long short-term memory network is proposed for E-band commercial microwave links (CMLs). A full-duplex E-band microwave link located in Prague (two sublinks with frequencies of 73.5 and 83.5 GHz, both vertically polarized) was used to verify the performance of the model. The results show that the model inversion results are in good agreement with the water vapor density calculated by temperature and humidity sensors. Compared with previous water vapor inversion methods based on CMLs, this model has a higher temporal resolution and can realize real-time monitoring.

Keywords