We recently had a user write in looking for more information on the EMIT algorithm. We wanted to make sure all users that are interested in EMIT data had a chance to learn more about the data.
LPDAAC
Learn all about EMIT Data: how to access, how to work with it, how to visualize, the algorithms that went into it & more
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LP DAAC - lien
- User Services
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- Joined: Thu Jun 25, 2020 9:51 am America/New_York
- Been thanked: 4 times
Re: Discovering EMIT Data.
We recently had a user write in looking for more information on the EMIT algorithm. We wanted to make sure all users that are interested in EMIT data had a chance to learn more about the data.
In case you missed it, NASA’s JPL EMIT Science Team and the LP DAAC hosted a 2-hour virtual workshop on the current methane data products ( EMITL2BCH4ENH v001 and EMITL2BCH4PLM v001) from the Earth Surface Mineral Dust Source Investigation (EMIT) mission on March 14, 2024. A YouTube recording (https://youtu.be/lNxvjnurzfM) is available, as well as two Python Jupyter notebooks in the EMIT-Data-Resources Repository: https://github.com/nasa/EMIT-Data-Resources/tree/main
- Generating a Methane Spectral Fingerprint, which visualizes the difference of a pixel where methane is present versus one where there is no methane.
- https://github.com/nasa/EMIT-Data-Resources/blob/main/python/tutorials/Generating_Methane_Spectral_Fingerprint.ipynb
- Visualizing Methane Plume Timeseries, which works through the process of building a timeseries of plumes identified from the same source and calculates the mass of methane present in each plume.
- https://github.com/nasa/EMIT-Data-Resources/blob/main/python/tutorials/Visualizing_Methane_Plume_Timeseries.ipynb
To work through these notebooks you will need to clone the entire repository.
For more information on the derivation of the methane enhancement product (EMITL2BCH4ENH v001), please review the algorithm theoretical basis document (https://lpdaac.usgs.gov/documents/1696/EMIT_GHG_ATBD_V1.pdf), and the repositories available in the emit-sds (https://github.com/emit-sds).
In case you missed it, NASA’s JPL EMIT Science Team and the LP DAAC hosted a 2-hour virtual workshop on the current methane data products ( EMITL2BCH4ENH v001 and EMITL2BCH4PLM v001) from the Earth Surface Mineral Dust Source Investigation (EMIT) mission on March 14, 2024. A YouTube recording (https://youtu.be/lNxvjnurzfM) is available, as well as two Python Jupyter notebooks in the EMIT-Data-Resources Repository: https://github.com/nasa/EMIT-Data-Resources/tree/main
- Generating a Methane Spectral Fingerprint, which visualizes the difference of a pixel where methane is present versus one where there is no methane.
- https://github.com/nasa/EMIT-Data-Resources/blob/main/python/tutorials/Generating_Methane_Spectral_Fingerprint.ipynb
- Visualizing Methane Plume Timeseries, which works through the process of building a timeseries of plumes identified from the same source and calculates the mass of methane present in each plume.
- https://github.com/nasa/EMIT-Data-Resources/blob/main/python/tutorials/Visualizing_Methane_Plume_Timeseries.ipynb
To work through these notebooks you will need to clone the entire repository.
For more information on the derivation of the methane enhancement product (EMITL2BCH4ENH v001), please review the algorithm theoretical basis document (https://lpdaac.usgs.gov/documents/1696/EMIT_GHG_ATBD_V1.pdf), and the repositories available in the emit-sds (https://github.com/emit-sds).