Separating and Quantifying Facility-Level Methane Emissions with Overlapping Plumes for Spaceborne Methane Monitoring

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Separating and Quantifying Facility-Level Methane Emissions with Overlapping Plumes for Spaceborne Methane Monitoring ; day:12 ; month:12 ; year:2023 ; pages:1-26 ; extent:26
EGUsphere ; (12.12.2023), 1-26 (gesamt 26)

Creator: Pang, Yiguo
Tian, Longfei
Hu, Denghui
Gao, Shuang
Liu, Guohua

DOI: 10.5194/egusphere-2023-1693

URN: urn:nbn:de:101:1-2023121403222100248053

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Associated

Pang, Yiguo
Tian, Longfei
Hu, Denghui
Gao, Shuang
Liu, Guohua

Other Objects (12)

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Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

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Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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

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

Characterization of methane retrievals from the IASI space-borne sounder

Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

Target methane

Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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

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

Characterization of methane retrievals from the IASI space-borne sounder

Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

Target methane

Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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Separating and Quantifying Facility-Level Methane Emissions with Overlapping Plumes for Spaceborne Methane Monitoring

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Other Objects (12)

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

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

Characterization of methane retrievals from the IASI space-borne sounder

Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

Target methane

Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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

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

Characterization of methane retrievals from the IASI space-borne sounder

Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

Target methane

Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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

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

Characterization of methane retrievals from the IASI space-borne sounder

Separating natural from human enhanced methane emissions in headwater streams

Ground-Based Imaging of Carbon Dioxide and Methane Emission Plumes

Semantic segmentation of methane plumes with hyperspectral machine learning models

A versatile spaceborne architecture for immediate monitoring of the global methane pledge

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Averaging Bias Correction for the Future Space-borne Methane IPDA Lidar Mission MERLIN

Target methane

Towards accurate methane point-source quantification from high-resolution 2D plume imagery

AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES

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