Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods - data and weights

Release for "Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods", submitted to "Atmospheric Chemistry and Physics- Train, validation and test dataset for Lippendorf, Boxberg, and Turow CNN applications.- Test dataset for OCO3 SAM ap...

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Bibliographische Detailangaben
1. Verfasser: Dumont Le Brazidec, Joffrey
Format: Dataset
Sprache:eng
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Zusammenfassung:Release for "Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods", submitted to "Atmospheric Chemistry and Physics- Train, validation and test dataset for Lippendorf, Boxberg, and Turow CNN applications.- Test dataset for OCO3 SAM application.- Weights and architecture of the trained CNN.
DOI:10.5281/zenodo.12788519