Application of remote sensing satellite data for carbon emissions reduction

Chen, Jiandong; Gao, Ming; Huang, Shasha; Hou, Wenxuan

doi:10.1080/14765284.2021.1920329

Cited by 12 publications

(3 citation statements)

References 51 publications

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“…With the help of satellite data, the decline and rebound in China's CO2 emissions were estimated during the COVID-19 pandemic (26). Similar to those of the finding in a study of (26), It was also revealed that the driving force of China's CO2 emissions fell by more than 40% compared with the same period in 2019 when the city was closed from the end of January to the beginning of 2020 (27). Using OMI and AIRS data to estimate the extent of the reduction of major pollutants such as carbon monoxide, nitrogen dioxide, and sulfur dioxide in the south-east Asian regions from January to April 2020, a recent study discovered that air quality improved in India and China during the COVID-19 outbreak in which NO2 was reduced the most; CO to some extent and SO2 experienced a nominal reduction (28).…”

Section: Studies Of Impacts On Air Qualitysupporting

confidence: 66%

A Review Of Perspectives From Earth Observation Data To Investigate The Effects Of COVID-19 On The Environment

Nguyen,

Cao,

Luong

2023

IJHMR

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Background: Earth observation data has established themselves as extremely useful and very diverse domains for research associated with space, spatio-temporal components, and geography. Following the outbreak of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) last December 2019 in China. This study aims to systematically review and synthetize perspectives from earth observation data to investigate the effects of COVID-19 on the environment. Material and Methods: A total of 41articles were first collected from four main digital databases including Web of Science, SCOPUS, PubMed/MEDLINE, and Google scholar. It will go on comprehensively review and synthesize applications of earth observation data in studies the COVID-19 impacts on environment. Specifically, the content is presented under three sub-sections; namely the use of earth observation data in (i) studies of impacts on water quality, (ii) studies of impacts on air quality, and (iii) studies of other impacts on the environment, respectively. Results: It was found that change in the intensity of air and water pollution after reduced anthropogenic activities around the world were captured by remote sensing – supplying concrete evidence that can help inform improved environmental policy during the COVID-19 pandemic. Conclusion: It can be concluded that the varied use of remote sensing techniques affirms the value of earth observation data to studies of infectious diseases to environment, especially in times of such large-scale disasters as the COVID-19 pandemic.

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Section: Studies Of Impacts On Air Qualitysupporting

confidence: 66%

A Review Of Perspectives From Earth Observation Data To Investigate The Effects Of COVID-19 On The Environment

Nguyen,

Cao,

Luong

2023

IJHMR

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“…The main reason is the increased concentration of CO 2 . Carbon emissions have become a focus of interest for all countries, and the study of carbon emissions has garnered global attention, progressively becoming a topic of international concern [13].…”

Section: Introductionmentioning

confidence: 99%

“…In China, CO 2 emissions are generally quantified using energy statistics [13]. The country's vast territory and regional disparities make the collection of energy statistics burdensome and complex [27].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing

Zhang,

Fu,

et al. 2023

Remote Sensing

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With burgeoning economic development, a surging influx of greenhouse gases, notably carbon dioxide (CO2), has precipitated global warming, thus accentuating the critical imperatives of monitoring and predicting carbon emissions. Conventional approaches employed in the examination of carbon emissions predominantly rely on energy statistics procured from the National Bureau of Statistics and local statistical bureaus. However, these conventional data sources, often encapsulated in statistical yearbooks, exclusively furnish insights into energy consumption at the national and provincial levels, so the assessment at a more granular scale, such as the municipal and county levels, poses a formidable challenge. This study, using nighttime light data and statistics records spanning from 2000 to 2019, undertook a comparative analysis, scrutinizing various modeling methodologies, encompassing linear, exponential, and logarithmic models, with the aim of assessing carbon emissions across diverse spatial scales. A multifaceted analysis unfolded, delving into the key attributes of China’s carbon emissions, spanning total carbon emissions, per capita carbon emissions, and carbon emission intensity. Spatial considerations were also paramount, encompassing an examination of carbon emissions across provincial, municipal, and county scales, as well as an intricate exploration of spatial patterns, including the displacement of the center of gravity and the application of trend analyses. These multifaceted analyses collectively contributed to the endeavor of predicting China’s future carbon emission trajectory. The findings of the study revealed that at the national scale, total carbon emissions exhibited an annual increment throughout the period spanning 2000 to 2019. Secondly, upon an in-depth evaluation of model fitting, it was evident that the logarithmic model emerged as the most adept in terms of fitting, presenting a mean R2 value of 0.83. Thirdly, the gravity center of carbon emissions in China was situated within Henan Province, and there was a discernible overall shift towards the southwest. In 2025 and 2030, it is anticipated that the average quantum of China’s carbon emissions will reach 7.82 × 102 million and 25.61 × 102 million metric tons, with Shandong Province emerging as the foremost contributor. In summary, this research serves as a robust factual underpinning and an indispensable reference point for advancing the scientific underpinnings of China’s transition to a low-carbon economy and the judicious formulation of policies governing carbon emissions.

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Climate management and policy development: An earth observation perspective

Dube,

Mupepi

2024

Remote Sensing of Climate

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Application of remote sensing satellite data for carbon emissions reduction

Cited by 12 publications

References 51 publications

A Review Of Perspectives From Earth Observation Data To Investigate The Effects Of COVID-19 On The Environment

A Review Of Perspectives From Earth Observation Data To Investigate The Effects Of COVID-19 On The Environment

Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing

Climate management and policy development: An earth observation perspective

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