A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2
As the most abundant greenhouse gas, atmospheric carbon dioxide (CO 2) is considered
one of the main attributors to climate change. Atmospheric CO 2 concentrations can be …
one of the main attributors to climate change. Atmospheric CO 2 concentrations can be …
[HTML][HTML] Seamless mapping of long-term (2010–2020) daily global XCO and XCH from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon …
Precise and continuous monitoring of long-term carbon dioxide (CO 2) and methane (CH 4)
over the globe is of great importance, which can help study global warming and achieve the …
over the globe is of great importance, which can help study global warming and achieve the …
Full-coverage mapping high-resolution atmospheric CO2 concentrations in China from 2015 to 2020: Spatiotemporal variations and coupled trends with particulate …
Understanding the spatiotemporal dynamics of atmospheric carbon dioxide (CO 2) is crucial
for achieving carbon neutrality and safeguarding planetary well-being. Satellite-based …
for achieving carbon neutrality and safeguarding planetary well-being. Satellite-based …
Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019
As China is the world's largest CO 2 emitter, it is important to understand the spatio-temporal
variation of atmospheric CO 2 to reduce carbon emissions. Satellite remote sensing for …
variation of atmospheric CO 2 to reduce carbon emissions. Satellite remote sensing for …
[HTML][HTML] Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014–2020
In recent years, China has been experiencing increasing carbon dioxide (CO 2)
concentration. Spaceborne satellites provide important support to monitor CO 2, but the …
concentration. Spaceborne satellites provide important support to monitor CO 2, but the …
Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020
ABSTRACT A global mapping data of atmospheric carbon dioxide (CO2) concentrations can
help us to better understand the spatiotemporal variations of CO2 and the driving factors of …
help us to better understand the spatiotemporal variations of CO2 and the driving factors of …
The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing …
M Wang, Y Wang, F Teng, Y Ji - Journal of Environmental Management, 2023 - Elsevier
The spatiotemporal evolution patterns of carbon emissions and their influence mechanisms
are important topics for regional climate change monitoring and research on sustainable …
are important topics for regional climate change monitoring and research on sustainable …
Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output
Due to the coarse spatial resolution, the column‐averaged dry‐air mole fraction of CO2
(XCO2) data from the CarbonTracker may be inadequate to reflect the spatial heterogeneity …
(XCO2) data from the CarbonTracker may be inadequate to reflect the spatial heterogeneity …
Examining the role of the main terrestrial factors won the seasonal distribution of atmospheric carbon dioxide concentration over Iran
Global warming is one of the most important environmental issues from the last few decades
and is causing climate change due to carbon dioxide (CO2) emissions and other …
and is causing climate change due to carbon dioxide (CO2) emissions and other …
Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data
China has set a goal to achieve carbon neutrality by 2060, and satellite remote sensing
allows for acquiring large-range and high-resolution carbon dioxide (CO 2) data, which can …
allows for acquiring large-range and high-resolution carbon dioxide (CO 2) data, which can …