On the public citation graph

Quantifying Thermal Power Plants Co2 Emissions Globally from Space Using Hyperspectral Imagers

0 signed · 43 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

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/10.1002/2017gl074702openalex-snapshot
Quantifying CO2 Emissions From Individual Power Plants From Space
inferredcites →https://doi.org/10.1016/b978-0-12-819657-1.00001-3openalex-snapshot
CO2 emission sources, greenhouse gases, and the global warming effect
inferredcites →https://doi.org/10.1016/j.jclepro.2023.136306openalex-snapshot
Uncovering the roadmap of decoupling economic growth and CO2 emissions targeting energy-resource-emission-intensive industrial parks located nearby large river: Practices and implications from China
inferredcites →https://doi.org/10.1016/j.jclepro.2023.136525openalex-snapshot
CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model
inferredcites →https://doi.org/10.1016/j.jenvman.2020.111423openalex-snapshot
The potential of CO2 satellite monitoring for climate governance: A review
inferredcites →https://doi.org/10.1016/j.jenvman.2022.116101openalex-snapshot
A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2
inferredcites →https://doi.org/10.1016/j.rse.2013.08.001openalex-snapshot
High spatial resolution mapping of elevated atmospheric carbon dioxide using airborne imaging spectroscopy: Radiative transfer modeling and power plant plume detection
inferredcites →https://doi.org/10.1016/j.rse.2021.112443openalex-snapshot
A uniformly most powerful detector of gas plumes against a cluttered background
inferredcites →https://doi.org/10.1016/j.rse.2021.112499openalex-snapshot
The PRISMA imaging spectroscopy mission: overview and first performance analysis
inferredcites →https://doi.org/10.1016/j.rse.2021.112574openalex-snapshot
Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy
inferredcites →https://doi.org/10.1016/j.rse.2021.112579openalex-snapshot
Advances in quantifying power plant CO2 emissions with OCO-2
inferredcites →https://doi.org/10.1016/j.rse.2021.112671openalex-snapshot
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer
inferredcites →https://doi.org/10.1016/j.rse.2023.113652openalex-snapshot
Improving quantification of methane point source emissions from imaging spectroscopy
inferredcites →https://doi.org/10.1029/2012gl051203openalex-snapshot
Global CO2 distributions over land from the Greenhouse Gases Observing Satellite (GOSAT)
inferredcites →https://doi.org/10.1029/2020av000350openalex-snapshot
Quantifying Global Power Plant Carbon Dioxide Emissions With Imaging Spectroscopy
inferredcites →https://doi.org/10.1038/s41467-020-14805-zopenalex-snapshot
Managing energy infrastructure to decarbonize industrial parks in China
inferredcites →https://doi.org/10.1038/s41586-019-1720-3openalex-snapshot
California’s methane super-emitters
inferredcites →https://doi.org/10.1080/10962247.2019.1578702openalex-snapshot
Systematic error and uncertain carbon dioxide emissions from U.S. power plants
inferredcites →https://doi.org/10.1088/1748-9326/ab25aeopenalex-snapshot
Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations
inferredcites →https://doi.org/10.1088/1748-9326/ac13f1openalex-snapshot
Reducing CO2emissions by targeting the world’s hyper-polluting power plants*
inferredcites →https://doi.org/10.1109/igarss.2018.8518512openalex-snapshot
Prisma: The Italian Hyperspectral Mission
inferredcites →https://doi.org/10.1109/lgrs.2005.857619openalex-snapshot
Effect of Signal Contamination in Matched-Filter Detection of the Signal on a Cluttered Background
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/10.1117/12.2599613openalex-snapshot
The Copernicus CO2M mission for monitoring anthropogenic carbon dioxide emissions from space
inferredcites →https://doi.org/10.1117/12.2632547openalex-snapshot
Carbon mapper phase 1: two upcoming VNIR-SWIR hyperspectral imaging satellites
inferredcites →https://doi.org/10.1126/sciadv.adh2391openalex-snapshot
Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space
inferredcites →https://doi.org/10.2151/sola.2009-041openalex-snapshot
Global Concentrations of CO2 and CH4 Retrieved from GOSAT: First Preliminary Results
inferredcites →https://doi.org/10.3389/frsen.2022.1028240openalex-snapshot
Tracking CO2 emission reductions from space: A case study at Europe’s largest fossil fuel power plant
inferredcites →https://doi.org/10.3390/atmos12070811openalex-snapshot
Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories
inferredcites →https://doi.org/10.3390/rs11131608openalex-snapshot
Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space
inferredcites →https://doi.org/10.3390/rs70708830openalex-snapshot
The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
inferredcites →https://doi.org/10.5194/acp-17-1227-2017openalex-snapshot
Variations of China's emission estimates: response to uncertainties in energy statistics
inferredcites →https://doi.org/10.5194/acp-23-14577-2023openalex-snapshot
Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants
inferredcites →https://doi.org/10.5194/acp-23-6599-2023openalex-snapshot
Monitoring and quantifying CO 2 emissions of isolated power plants from space
inferredcites →https://doi.org/10.5194/acp-5-9-2005openalex-snapshot
Iterative maximum a posteriori (IMAP)-DOAS for retrieval of strongly absorbing trace gases: Model studies for CH 4 and CO 2 retrieval from near infrared spectra of SCIAMACHY onboard ENVISAT
inferredcites →https://doi.org/10.5194/acp-8-3827-2008openalex-snapshot
Three years of greenhouse gas column-averaged dry air mole fractions retrieved from satellite – Part 1: Carbon dioxide
inferredcites →https://doi.org/10.5194/amt-10-3833-2017openalex-snapshot
Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG
inferredcites →https://doi.org/10.5194/amt-10-59-2017openalex-snapshot
The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products
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-12-2341-2019openalex-snapshot
The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data
inferredcites →https://doi.org/10.5194/amt-7-491-2014openalex-snapshot
Retrieval techniques for airborne imaging of methane concentrations using high spatial and moderate spectral resolution: application to AVIRIS
inferredcites →https://doi.org/10.5194/egusphere-egu23-7665openalex-snapshot
Monitoring and quantifying CO2 emissions of isolated power plants from space
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.