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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12618771 B1

PDFFull Text
Date of Patent:
May. 05, 2026

Filed:

Aug. 02, 2022

Generating high-resolution concentration maps for atmospheric gases using geography-informed machine learning

Applicant:

Palo Alto Research Center Incorporated, Palo Alto, CA (US);

Inventors:

Kalaivani Ramea Kubendran, Fremont, CA (US);

MD Nurul Huda, Hillsboro, OR (US);

David Schwartz, Concord, MA (US);

Jeyasri Subramanian, Sunnyvale, CA (US);

Assignee:

Genesee Valley Innovations, LLC, Santa Clara, CA (US);

Attorneys:

Fleit Intellectual Property Law

Jon Gibbons

Primary Examiner:

Aditya S Bhat

Int. Cl.
CPC ...
G01N 21/3504 (2014.01); G01N 21/59 (2006.01); G01N 21/17 (2006.01);
U.S. Cl.
CPC ...
G01N 21/3504 (2013.01); G01N 21/59 (2013.01); G01N 2021/1795 (2013.01);
Abstract

Generating one or more high-resolution atmospheric gas concentration maps using geography-informed machine learning includes obtaining a remote sensing dataset constrained by at least one temporal window and at least one spatial window defining a first geographic area. The remote sensing dataset includes at least a first set of atmospheric gas concentration data for a plurality of atmospheric gases. A training dataset is generated based on the remote sensing dataset. A machine learning model is trained with the training dataset to predict a plurality of atmospheric gas concentration values for at least one atmospheric gas of the plurality of atmospheric gases in a given geographic area and with a spatial resolution that is greater than a spatial resolution of atmospheric gas concentration data provided as an input to the machine learning module.

Find Patent Forward Citations

Ramea Kubendran, Kalaivani. (2026). Generating high-resolution concentration maps for atmospheric gases using geography-informed machine learning (U.S. Patent No. 12618771). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12618771

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