Spatial and temporal characteristics of correlation between CO2 and fire pixel counts in China

Cong Zhou; Runhe Shim; Yuanyuan Chen; Chaoshun Liu; Wei Gao

doi:10.1117/12.927858

Spatial and temporal characteristics of correlation between CO₂ and fire pixel counts in China

Cong Zhou
, Runhe Shim^*
, Yuanyuan Chen
, Chaoshun Liu
, Wei Gao

^*Corresponding author for this work

School of Geographic Sciences

East China Normal University
Colorado State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Carbon dioxide (CO₂) is one of major green house gases affecting global climate. Biomass burning caused by fire is an important emission source of CO₂ in the atmosphere. CO₂ concentration retrieved from Atmospheric Infrared Sounder (AIRS) and fire pixel counts (FPC) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003 to 2010 over China were obtained and analyzed. The characteristics of correlation between CO and FPC were analyzed in time series. To investigate the spatial characteristics of correlation between CO₂ and fire, energy fires emitted based on the Global Fire Emissions Database v3 (GFED3) was used. CO₂ concentration was steadily increased in both daytime and nighttime. The seasonal distribution of CO₂ concentration and FPC had the similar pattern as the highest value appeared in Spring and lowest value in Autumn. What's more, the changes of the aggregated CO₂ concentration had a good agreement with the changes of the total FPC. However, the concentration of CO₂ emitted from fires was low except Heilongjiang province. And the tempo-spatial characteristic of CO₂ and FPC were similar with each other. It was different with characteristic of correlation between CO₂ and FPC in whole country.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability IX
DOIs	https://doi.org/10.1117/12.927858
State	Published - 2012
Event	Remote Sensing and Modeling of Ecosystems for Sustainability IX - San Diego, CA, United States Duration: 16 Aug 2012 → 16 Aug 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8513
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability IX
Country/Territory	United States
City	San Diego, CA
Period	16/08/12 → 16/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

CO
China
Fire pixel counts

Access to Document

10.1117/12.927858

Cite this

@inproceedings{e72384f933d54029916b49c7b2519718,

title = "Spatial and temporal characteristics of correlation between CO2 and fire pixel counts in China",

abstract = "Carbon dioxide (CO2) is one of major green house gases affecting global climate. Biomass burning caused by fire is an important emission source of CO2 in the atmosphere. CO2 concentration retrieved from Atmospheric Infrared Sounder (AIRS) and fire pixel counts (FPC) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003 to 2010 over China were obtained and analyzed. The characteristics of correlation between CO and FPC were analyzed in time series. To investigate the spatial characteristics of correlation between CO2 and fire, energy fires emitted based on the Global Fire Emissions Database v3 (GFED3) was used. CO2 concentration was steadily increased in both daytime and nighttime. The seasonal distribution of CO2 concentration and FPC had the similar pattern as the highest value appeared in Spring and lowest value in Autumn. What's more, the changes of the aggregated CO2 concentration had a good agreement with the changes of the total FPC. However, the concentration of CO2 emitted from fires was low except Heilongjiang province. And the tempo-spatial characteristic of CO2 and FPC were similar with each other. It was different with characteristic of correlation between CO2 and FPC in whole country.",

keywords = "CO, China, Fire pixel counts",

author = "Cong Zhou and Runhe Shim and Yuanyuan Chen and Chaoshun Liu and Wei Gao",

year = "2012",

doi = "10.1117/12.927858",

language = "英语",

isbn = "9780819492302",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability IX",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability IX ; Conference date: 16-08-2012 Through 16-08-2012",

}

Zhou, C, Shim, R, Chen, Y, Liu, C & Gao, W 2012, Spatial and temporal characteristics of correlation between CO₂ and fire pixel counts in China. in Remote Sensing and Modeling of Ecosystems for Sustainability IX., 85130J, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, San Diego, CA, United States, 16/08/12. https://doi.org/10.1117/12.927858

Spatial and temporal characteristics of correlation between CO₂ and fire pixel counts in China. / Zhou, Cong; Shim, Runhe; Chen, Yuanyuan et al.
Remote Sensing and Modeling of Ecosystems for Sustainability IX. 2012. 85130J (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8513).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spatial and temporal characteristics of correlation between CO2 and fire pixel counts in China

AU - Zhou, Cong

AU - Shim, Runhe

AU - Chen, Yuanyuan

AU - Liu, Chaoshun

AU - Gao, Wei

PY - 2012

Y1 - 2012

N2 - Carbon dioxide (CO2) is one of major green house gases affecting global climate. Biomass burning caused by fire is an important emission source of CO2 in the atmosphere. CO2 concentration retrieved from Atmospheric Infrared Sounder (AIRS) and fire pixel counts (FPC) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003 to 2010 over China were obtained and analyzed. The characteristics of correlation between CO and FPC were analyzed in time series. To investigate the spatial characteristics of correlation between CO2 and fire, energy fires emitted based on the Global Fire Emissions Database v3 (GFED3) was used. CO2 concentration was steadily increased in both daytime and nighttime. The seasonal distribution of CO2 concentration and FPC had the similar pattern as the highest value appeared in Spring and lowest value in Autumn. What's more, the changes of the aggregated CO2 concentration had a good agreement with the changes of the total FPC. However, the concentration of CO2 emitted from fires was low except Heilongjiang province. And the tempo-spatial characteristic of CO2 and FPC were similar with each other. It was different with characteristic of correlation between CO2 and FPC in whole country.

AB - Carbon dioxide (CO2) is one of major green house gases affecting global climate. Biomass burning caused by fire is an important emission source of CO2 in the atmosphere. CO2 concentration retrieved from Atmospheric Infrared Sounder (AIRS) and fire pixel counts (FPC) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003 to 2010 over China were obtained and analyzed. The characteristics of correlation between CO and FPC were analyzed in time series. To investigate the spatial characteristics of correlation between CO2 and fire, energy fires emitted based on the Global Fire Emissions Database v3 (GFED3) was used. CO2 concentration was steadily increased in both daytime and nighttime. The seasonal distribution of CO2 concentration and FPC had the similar pattern as the highest value appeared in Spring and lowest value in Autumn. What's more, the changes of the aggregated CO2 concentration had a good agreement with the changes of the total FPC. However, the concentration of CO2 emitted from fires was low except Heilongjiang province. And the tempo-spatial characteristic of CO2 and FPC were similar with each other. It was different with characteristic of correlation between CO2 and FPC in whole country.

KW - CO

KW - China

KW - Fire pixel counts

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U2 - 10.1117/12.927858

DO - 10.1117/12.927858

M3 - 会议稿件

AN - SCOPUS:84872579197

SN - 9780819492302

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability IX

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability IX

Y2 - 16 August 2012 through 16 August 2012

ER -