
Proceedings Paper
Spatial and temporal characteristics of correlation between CO2 and fire pixel counts in ChinaFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 24 October 2012
PDF: 8 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130J (24 October 2012); doi: 10.1117/12.927858
Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)
PDF: 8 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130J (24 October 2012); doi: 10.1117/12.927858
Show Author Affiliations
Cong Zhou, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Runhe Shi, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Yuanyuan Chen, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Runhe Shi, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Yuanyuan Chen, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Wei Gao, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Colorado State Univ. (United States)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Wei Gao, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Colorado State Univ. (United States)
Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)
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