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Operational machine learning for remote spectroscopic detection of CH4 point sources

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2016gl069079openalex-snapshot

Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter

inferredcites →https://doi.org/10.1016/j.jqsrt.2013.06.020openalex-snapshot

Methane line parameters in the HITRAN2012 database

inferredcites →https://doi.org/10.1021/acs.estlett.1c00173openalex-snapshot

Intermittency of Large Methane Emitters in the Permian Basin

inferredcites →https://doi.org/10.1029/2021eo160605openalex-snapshot

Realizing Machine Learning’s Promise in Geoscience Remote Sensing

inferredcites →https://doi.org/10.1038/s41586-019-1720-3openalex-snapshot

California’s methane super-emitters

inferredcites →https://doi.org/10.1109/tgrs.2020.2976888openalex-snapshot

Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior

inferredcites →https://doi.org/10.1109/tpami.2024.3367329openalex-snapshot

A Comprehensive Survey of Continual Learning: Theory, Method and Application

inferredcites →https://doi.org/10.5194/amt-11-5673-2018openalex-snapshot

Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes

inferredcites →https://doi.org/10.5194/amt-16-2627-2023openalex-snapshot

Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images

inferredcites →https://doi.org/10.5194/amt-16-89-2023openalex-snapshot

Understanding the potential of Sentinel-2 for monitoring methane point emissions

inferredcites →https://doi.org/10.5194/amt-8-4383-2015openalex-snapshot

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.66178/aie-0026-0018openalex-snapshot

Seventy years of AI: from a Dartmouth dream to a partner in scientific discovery

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