Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data

Sensors

Meng Guo³  Xiufeng Wang¹  Jing Li²  Kunpeng Yi³  Guosheng Zhong³ 

[1] Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan; E-Mails:;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; E-Mail:;Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan; E-Mails:

关键词: MODIS;    CO₂ concentration;    GOSAT TANSO;    LST;    NDVI/EVI;    LAI/FPAR;    GPP/NPP;   

DOI  :  10.3390/s121216368

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland