MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing-Application to LEO and GEO Sensors

Maddy, Eric S.; Boukabara, Sid A.

doi:10.1109/jstars.2021.3104389

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MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing-Application to LEO and GEO Sensors

2021
By Maddy, Eric S. ; Boukabara, Sid A.
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8566-8576

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Journal Title:

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Personal Author:

Maddy, Eric S. ; Boukabara, Sid A.

Maddy, Eric S. ; Boukabara, Sid A. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; OPPA (Office of Projects, Planning, & Analysis)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; OPPA (Office of Projects, Planning, & Analysis) Less -
Description:

In this article, we leverage and apply state-of-the-art artificial intelligence (AI) techniques to satellite remote sensing of temperature, moisture, surface, and cloud parameters in all-weather, all-surface conditions, from both microwave and infrared sensors.
Keywords:

[+]

Artificial Intelligence (AI) Atmosphere Earth Observing System Machine Learning Neural Networks Remote Sensing Satellite
Source:

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8566-8576
DOI:

https://doi.org/10.1109/jstars.2021.3104389
Document Type:

Journal Article
Funding:

Grant no. ST133017CQ0058/1332KP20FNEED0029
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

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urn:sha256:834c27d1a29d8e6f98250a12bfcf4e4a041528ea7dd7fde00b1c54684f833a1b
Download URL:

https://repository.library.noaa.gov/view/noaa/41854/noaa_41854_DS1.pdf
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MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing-Application to LEO and GEO Sensors

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