Sensors 2012, 12(12), 16368-16389; doi:10.3390/s121216368
Article

Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data

1 Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan 2 Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan 3 Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
* Author to whom correspondence should be addressed.
Received: 29 October 2012; in revised form: 22 November 2012 / Accepted: 23 November 2012 / Published: 26 November 2012
(This article belongs to the Section Remote Sensors)
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Abstract: Carbon dioxide (CO2) is the most important greenhouse gas (GHG) in the atmosphere and is the greatest contributor to global warming. CO2 concentration data are usually obtained from ground observation stations or from a small number of satellites. Because of the limited number of observations and the short time series of satellite data, it is difficult to monitor CO2 concentrations on regional or global scales for a long time. The use of the remote sensing data such as the Advanced Very High Resolution Radiometer (AVHRR) or Moderate Resolution Imaging Spectroradiometer (MODIS) data can overcome these problems, particularly in areas with low densities of CO2 concentration watch stations. A model based on temperature (MOD11C3), vegetation cover (MOD13C2 and MOD15A2) and productivity (MOD17A2) of MODIS (which we have named the TVP model) was developed in the current study to assess CO2 concentrations on a global scale. We assumed that CO2 concentration from the Thermal And Near infrared Sensor for carbon Observation (TANSO) aboard the Greenhouse gases Observing SATellite (GOSAT) are the true values and we used these values to check the TVP model accuracy. The results indicate that the accuracy of the TVP model is different in different continents: the greatest Pearson’s correlation coefficient (R2) was 0.75 in Eurasia (RMSE = 1.16) and South America (RMSE = 1.17); the lowest R2 was 0.57 in Australia (RMSE = 0.73). Compared with the TANSO-observed CO2 concentration (XCO2), we found that the accuracy throughout the World is between −2.56~3.14 ppm. Potential sources of TVP model uncertainties were also analyzed and identified.
Keywords: MODIS; CO2 concentration; GOSAT TANSO; LST; NDVI/EVI; LAI/FPAR; GPP/NPP

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MDPI and ACS Style

Guo, M.; Wang, X.; Li, J.; Yi, K.; Zhong, G.; Tani, H. Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data. Sensors 2012, 12, 16368-16389.

AMA Style

Guo M, Wang X, Li J, Yi K, Zhong G, Tani H. Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data. Sensors. 2012; 12(12):16368-16389.

Chicago/Turabian Style

Guo, Meng; Wang, Xiufeng; Li, Jing; Yi, Kunpeng; Zhong, Guosheng; Tani, Hiroshi. 2012. "Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data." Sensors 12, no. 12: 16368-16389.

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