https://github.com/swift-earth-science/cris-xco-ml

Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning
https://github.com/swift-earth-science/cris-xco-ml

air-quality carbon-monoxide cris earth-observation earth-science jupyter-notebook keras machine-learning python remote-sensing tensorflow xco

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Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning

• Host: GitHub
• URL: https://github.com/swift-earth-science/cris-xco-ml
• Owner: swift-earth-science
• License: other
• Created: 2024-05-08T22:18:15.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-09T17:16:28.000Z (7 months ago)
• Last Synced: 2024-06-09T18:40:57.280Z (7 months ago)
• Topics: air-quality, carbon-monoxide, cris, earth-observation, earth-science, jupyter-notebook, keras, machine-learning, python, remote-sensing, tensorflow, xco
• Language: Jupyter Notebook
• Homepage: https://cris-xco-ml.swiftearthscience.org/
• Size: 15.4 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# cris-xco-ml

Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) L1B Data Using Machine Learning

## Published Book

You can find the published book here: [CrIS XCO ML](https://cris-xco-ml.swiftearthscience.org/)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11155540.svg)](https://zenodo.org/doi/10.5281/zenodo.11155540)

## Book Development

For book development see the [README](dev/README.md) in `dev`.

## Community Contributions

[Discussion Forum](https://github.com/orgs/swift-earth-science/discussions): Please use the forum for questions, discussing ideas, and joining the community.

## Copyright and Licensing Info

Copyright (c) 2024 Swift Software Group, Inc. ("SSG"). All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

- Neither the name of SSG nor its operating division, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Open Source License Approved by [Swift Software Group](https://swiftsoftwaregroup.com)

APACHE LICENSE, VERSION 2.0

- Text version: https://www.apache.org/licenses/LICENSE-2.0.txt

- SPDX short identifier: [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html)

- OSI Approved License: https://opensource.org/licenses/Apache-2.0